收稿：2017-09-30，
录用：2018-3-30，
纸质出版：2019-07
移动端阅览
海岸带是人类活动集中且容易受到破坏的区域之一，快速而准确地实现海岸线的提取对海岸带管理及海岸带演化研究具有十分重要的意义。遥感技术因其大范围、高效率、低成本等突出优势逐渐成为一种实现海岸线提取及监测其动态变化的方式，克服了传统海岸线测绘方法的时间周期长、劳动强度大等缺点。本文综述了近些年提出的基于遥感影像的海岸线自动提取方法的研究进展。首先给出了海岸线的定义与分类，阐明了瞬时水边线及真实海岸线提取两个阶段及具体的提取流程，重点论述了通过提取瞬时水边线，进而获取真实海岸线的阈值分割方法、边缘检测算子方法、活动轮廓模型方法、数据挖掘方法、多分辨分析方法、面向对象方法、极化方法及其他方法，分析和比较了各种方法的优缺点，阐述了海岸线校正原理及精度评价方式，并对下一步的研究工作进行了展望。
The coastline refers to the boundary line between land and sea. The coastline detection is an important part of studying the effects of land-sea interaction and human activities on coastal zones. It is also significant for the effective development
integrated management and sustainable exploitation of coastal resources and protection of coastal ecosystems. Therefore
it is critical to achieve the extraction of coastline quickly and accurately. Remote sensing technology has gradually become a way to detect the location of the coastline and monitor its dynamic changes with its wide range
high temporal resolution
high spatial resolution
multispectral
low cost and other prominent advantages
overcoming the shortcomings of traditional coastline detection methods of long time period
high intensity of labor and so on. This paper reviews the research progress on methods of automatic coastline extraction based on remote sensing images proposed in recent years. First
the definition and classification of the coastline are given. The two stages of extraction of the instantaneous waterline and the real coastline and the specific extraction process are clarified. Then
these methods are divided into eight categories: threshold segmentation
edge detection operator
active contour model
data mining
multiresolution analysis
object-oriented
polarization and other methods. And the basic ideas of the main methods of coastline extraction are elaborated. Finally
the advantages and disadvantages of all kinds of methods are analyzed and compared. The principle of tidal correction and the methods of accuracy evaluation are expounded
and the research work of the next step is prospected. The detailed feature description of main methods are as follows. Threshold segmentation method is simple and easy to implement. While the selection of appropriate threshold is a certain degree of difficulty
and the extraction accuracy needs to be improved. The edge detection operator method has a good effect on the extraction of edge. Simultaneously
this method is susceptible to noise and prone to detect pseudo edges
even the continuity of extracted coastline is poor. The extraction result of the active contour model is accurate. However
the model has high complexity and large computational burden. Data mining method utilizes intelligent means to achieve automatic extraction of coastline. But a variety of methods need to be combined to make the extraction accuracy higher. Although the multiresolution analysis method can obtain rich edge information
the mostly applied wavelets have a limitation of dealing with directional information. Object-oriented approach can achieve image segmentation of a higher level and reduce the influence of texture and other characteristics inside the cell. It cannot make full use of the implicit information of the image when the amount of data is large. And the polarization method is essentially a threshold segmentation method. The only difference is the selection method of threshold. The polarization method achieves threshold selection by usage of different polarization methods of SAR images. In the end
in view of the deficiency of currently existing methods
the following feasible research approaches and prominent research prospects of automatic coastline extraction based on remote sensing images are put forward: constructing dataset
utilizing hyperspectral data
employing deep learning method
adopting swarm intelligence algorithm to optimize the parameters in the method of active contour model
using multiscale transform which contains directional information to improve the extraction accuracy of multiresolution analysis method
combining various kinds of methods to synthesize their advantages and achieving the automatic extraction of coastline with subpixel precision.
Aktas Ü R, Can G and Vural F T Y. 2012. Edge-aware segmentation in satellite imagery: a case study of shoreline detection//Proceedings of the 7th IAPR Workshop on Pattern Recognition in Remote Sensing. Tsukuba, Japan: IEEE: 1-4 [DOI: 10.1109/PPRS.2012.6398319]
Alonso M T, López-Martínez C, Mallorqui J J and Salembier P. 2011. Edge enhancement algorithm based on the wavelet transform for automatic edge detection in SAR images. IEEE Transactions on Geoscience and Remote Sensing, 49(1): 222–235
Asaka T, Yamamoto Y, Aoyama S, Iwashita K and Kudou K. 2013. Automated method for tracing shorelines in L-band SAR images//Conference Proceedings of 2013 Asia-Pacific Conference on Synthetic Aperture Radar. Tsukuba, Japan: IEEE: 325-328
Baghdadi N, Pedreros R, Lenotre N, Dewez T and Paganini M. 2007. Impact of polarization and incidence of the ASAR sensor on coastline mapping: example of Gabon. International Journal of Remote Sensing, 28(17): 3841–3849
Baselice F and Ferraioli G. 2013. Unsupervised coastal line extraction from SAR images. IEEE Geoscience and Remote Sensing Letters, 10(6): 1350–1354
Bhaskar H. 2011. Coastline detection using coupled variational level-set formulation//Proceedings of the 4th International Conference on Imaging for Crime Detection and Prevention 2011. London, UK: IET: 1-6 [DOI: 10.1049/ic.2011.0107]
Boak E H and Turner I L. 2005. Shoreline definition and detection: a review. Journal of Coastal Research, 21(4): 688–703
Buono A, Nunziata F, Mascolo L and Migliaccio M. 2014. A multipolarization analysis of coastline extraction using X-band COSMO-SkyMed SAR data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7(7): 2811–2820
Cao K, Fan J C, Wang X X, Wang X, Zhao J H and Zhang F S. 2016. Coastline automatic detection based on high resolution SAR images//Proceedings of the 4th International Workshop on Earth Observation and Remote Sensing Applications. Guangzhou, China: IEEE: 43-46 [DOI: 10.1109/EORSA.2016.7552763]
Caselles V, Kimmel R and Sapiro G. 1997. Geodesic active contours. International Journal of Computer Vision, 22(1): 61–79
Chan T F and Vese L A. 2001. Active contours without edges. IEEE Transactions on Image Processing, 10(2): 266–277
陈祥, 孙俊, 尹奎英, 于俊朋. 2014. 基于Otsu与海域统计特性的SAR图像海陆分割算法. 数据采集与处理, 29(4): 603–608
Chen X, Sun J, Yin K Y and Yu J M. 2014. Sea-land segmentation algorithm of SAR image based on Otsu method and statistical characteristic of sea area. Journal of Data Acquisition and Processing, 29(4): 603–608
陈云浩, 冯通, 史培军, 王今飞. 2006. 基于面向对象和规则的遥感影像分类研究. 武汉大学学报(信息科学版), 31(4): 316–320
Chen Y H, Feng T, Shi P J and Wang J F. 2006. Classification of remot sensing image based on object oriented and class rules. Geomatics and Information Science of Wuhan University, 31(4): 316–320
陈正华, 毛志华, 陈建裕. 2011. 利用4期卫星资料监测1986~2009年浙江省大陆海岸线变迁. 遥感技术与应用, 26(1): 68–73
Chen Z H, Mao Z H and Chen J Y. 2011. Coastline change monitoring using 4 periods remote sensing data in Zhejiang Province from 1986 to 2009. Remote Sensing Technology and Application, 26(1): 68–73
Cheng D C, Meng G F, Cheng G L and Pan C H. 2017a. SeNet: structured edge network for sea–land segmentation. IEEE Geoscience and Remote Sensing Letters, 14(2): 247–251
Cheng D C, Meng G F, Xiang S M and Pan C M. 2017b. FusionNet: edge aware deep convolutional networks for semantic segmentation of remote sensing harbor images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10(12): 5769–5783
Cheng G, Han J W and Lu X Q. 2017. Remote sensing image scene classification: benchmark and state of the art. Proceedings of the IEEE, 105(10): 1865–1883
Congalton R G and Green K. 2008. Assessing the Accuracy of Remotely Sensed Data: Principles and Practices. 2nd ed. Florida, USA: CRC Press
Dellepiane S, de Laurentiis R and Giordano F. 2004. Coastline extraction from SAR images and a method for the evaluation of the coastline precision. Pattern Recognition Letters, 25(13): 1461–1470
Descombes X, Moctezuma M, Maître H and Rudant J P. 1996. Coastline detection by a Markovian segmentation on SAR images. Signal Processing, 55(1): 123–132
Ding X W, Nunziata F, Li X F and Migliaccio M. 2015. Performance analysis and validation of waterline extraction approaches using single- and dual-polarimetric SAR data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8(3): 1019–1027
董保根, 张良, 张钢, 吴卓, 周丽雅. 2012. 利用LiDAR点云提取有地形约束的光滑海岸线. 测绘科学技术学报, 29(2): 113–117
Dong B G, Zhang L, Zhang G, Wu Z and Zhou L Y. 2012. Smooth shoreline extraction with topographic constraints using LiDAR point clouds. Journal of Geomatics Science and Technology, 29(2): 113–117
Dong H Y, Xu P, Liu Q and Xu H L. 2015. The water coastline detection approaches based on USV vision//Proceedings of 2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems. Shenyang, China: IEEE: 404-408 [DOI: 10.1109/CYBER.2015.7287971]
Dong Y, Zhang J F and Xu F J. 2014. Auto localization for coastal satellite imagery based on curve matching//Proceedings of 2014 International Conference on Multisensor Fusion and Information Integration for Intelligent Systems. Beijing, China: IEEE: 1-6 [DOI: 10.1109/MFI.2014.6997645]
范典, 郭华东, 岳焕印, 王长林. 2002. 基于二进小波变换的SAR图像湖岸线提取. 遥感学报, 6(6): 511–516
Fan D, Guo H D, Yue H Y and Wang C L. 2002. Detection of lake shoreline in SAR image based on wavelet. Journal of Remote Sensing, 6(6): 511–516
Fan J C, Cao K, Zhao J H, Jiang D W and Tang X L. 2016. A hybrid particle swarm optimization algorithm for coastline SAR image automatic detection//Proceedings of the 12th World Congress on Intelligent Control and Automation. Guilin, China: IEEE: 822-825 [DOI: 10.1109/WCICA.2016.7578256]
樊彦国, 张淑芹, 侯春玲, 张磊. 2009. 基于遥感影像提取海岸线方法的研究——以黄河三角洲地区黄河口段和刁口段海岸为例. 遥感信息, (4): 67–70, 74
Fan Y G, Zhang S Q, Hou C L and Zhang L. 2009. Study on method of coastline extraction from remote sensing - Taking Yellow River mouth reach and Diaokou reach of Yellow River Delta area as an example. Remote Sensing Information, (4): 67–70, 74
冯兰娣, 孙效功, 胥可辉. 2002. 利用海岸带遥感图像提取岸线的小波变换方法. 青岛海洋大学学报, 32(5): 777–781
Feng L D, Sun X G and Xu K H. 2002. Edge detection of coastline based on wavelet transform method. Journal of Ocean University of Qingdao, 32(5): 777–781
冯永玖, 韩震. 2012. 海岸线遥感信息提取的元胞自动机方法及其应用. 中国图象图形学报, 17(3): 441–446
Feng Y J and Han Z. 2012. Cellular automata approach to extract shoreline from remote sensing imageries and its application. Journal of Image and Graphics, 17(3): 441–446
Fugura A A, Billa L and Pradhan B. 2011. Semi-automated procedures for shoreline extraction using single RADARSAT-1 SAR image. Estuarine, Coastal and Shelf Science, 95(4): 395–400
高燕, 周成虎, 苏奋振, 王寒. 2014. 基于多特征的人工海岸线提取方法. 测绘工程, 23(5): 1–5
Gao Y, Zhou C H, Su F Z and Wang H. 2014. Coastline extraction from remote sensing images based on multi-features approach. Engineering of Surveying and Mapping, 23(5): 1–5
高志强, 刘向阳, 宁吉才, 芦清水. 2014. 基于遥感的近30 a中国海岸线和围填海面积变化及成因分析. 农业工程学报, 30(12): 140–147
Gao Z Q, Liu X Y, Ning J C and Lu Q S. 2014. Analysis on changes in coastline and reclamation area and its causes based on 30-year satellite data in China. Transactions of the Chinese Society of Agricultural Engineering, 30(12): 140–147
中华人民共和国国家质量监督检验检疫总局. 2004. GB/T 18190-2000 海洋学术语 海洋地质学. 北京: 中国标准出版社
General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China. 2004. GB/T 18190-2000 Oceanological terminology--Marine geology. Beijing: Standards Press of China
郭海涛, 孙磊, 申家双, 陈小卫, 张宏伟. 2016. 一种四叉树和测地线活动轮廓模型相结合的海陆影像分割方法. 测绘学报, 45(1): 65–72
Guo H T, Sun L, Shen J S, Chen X W and Zhang H W. 2016. An island and coastal image segmentation method based on quadtree and GAC model. Acta Geodaetica et Cartographica Sinica, 45(1): 65–72
Guo Q D, Pu R L, Zhang B and Gao L R. 2016. A comparative study of coastline changes at Tampa Bay and Xiangshan Harbor during the last 30 years//Proceedings of 2016 IEEE International Geoscience and Remote Sensing Symposium. Beijing, China: IEEE: 5185-5188 [DOI: 10.1109/IGARSS.2016.7730351]
郭衍游, 卢霞, 邵飞卿. 2009. 基于小波变换的连云港海岸线遥感信息提取. 淮海工学院学报(自然科学版), 18(3): 86–89
Guo Y Y, Lu X and Shao F Q. 2009. Remote sensing information abstraction of Lianyungang coastal line based on wavelet transformation. Journal of Huaihai Institute of Technology (Natural Science Edition), 18(3): 86–89
Han M, Yang X and Jiang E D. 2016. An Extreme Learning Machine based on Cellular Automata of edge detection for remote sensing images. Neurocomputing, 198: 27–34
侯彪, 胡育辉, 焦李成. 2010. SAR图像水域的改进Shearlet边缘检测. 中国图象图形学报, 15(10): 1549–1554
Hou B, Hu Y H and Jiao L C. 2010. Improved shearlet edge detection for waters of SAR images. Journal of Image and Graphics, 15(10): 1549–1554
胡倩, 张丰, 刘仁义, 杜震洪. 2013. 基于梯度矢量流和主动轮廓模型的海陆边界提取. 浙江大学学报(理学版), 40(6): 698–704
Hu Q, Zhang F, Liu R Y and Du Z H. 2013. Land-sea boundary extraction based on gradient vector flow and active contour model. Journal of Zhejiang University (Science Edition), 40(6): 698–704
黄魁华, 张军. 2011. 局部统计活动轮廓模型的SAR图像海岸线检测. 遥感学报, 15(4): 737–749
Huang K H and Zhang J. 2011. A coastline detection method using SAR images based on the local statistical active contour model. Journal of Remote Sensing, 15(4): 737–749
贾明明, 刘殿伟, 王宗明, 汤旭光, 董张玉. 2013. 面向对象方法和多源遥感数据的杭州湾海岸线提取分析. 地球信息科学学报, 15(2): 262–269
Jia M M, Liu D W, Wang Z M, Tang X G and Dong Z Y. 2013. Coastline changes in Hangzhou Bay based on object-oriented method using multi-source remote sensing data. Journal of Geo-Information Science, 15(2): 262–269
姜大伟, 范剑超, 黄凤荣. 2016. SAR图像海岸线检测的区域距离正则化几何主动轮廓模型. 测绘学报, 45(9): 1096–1103
Jiang D W, Fan J C and Huang F R. 2016. SAR image coastline detection based on regional distance regularized geometric active contour models. Acta Geodaetica et Cartographica Sinica, 45(9): 1096–1103
蒋兴伟. 2016. 中国近海海洋-海岛海岸带遥感影像处理与解译. 北京: 海洋出版社
Jiang X W. 2016. China Offshore Marine - Processing and Interpretation of Remote Sensing Image of Island Coastal Zone. Beijing: China Ocean Press
Karantzalos K G, Argialas D and Georgopoulos A. 2002. Towards automatic detection of coastlines from satellite imagery//Proceedings of the 14th International Conference on Digital Signal Processing Proceedings. Santorini, Greece: IEEE: 897-900 [DOI: 10.1109/ICDSP.2002.1028235]
Kass M, Witkin A and Terzopoulos D. 1988. Snakes: active contour models. International Journal of Computer Vision, 1(4): 321–331
Latini D, del Frate F, Palazzo F and Minchella A. 2012. Coastline extraction from SAR COSMO-SkyMed data using a new neural network algorithm//Proceedings of 2012 IEEE International Geoscience and Remote Sensing Symposium. Munich, Germany: IEEE: 5975-5977 [DOI: 10.1109/IGARSS.2012.6352247]
李传龙, 李颖, 兰国新. 2011. 一种新的窄带快速区域水平集C-V模型图像分割方法. 计算机科学, 38(12): 17–19, 35
Li C L, Li Y and Lan G X. 2011. New method of the fast narrow brand C-V level set model for image segmentation. Computer Science, 38(12): 17–19, 35
李传龙, 李颖, 马龙. 2010. 一种新的遥感图像海岸线检测方法. 计算机仿真, 27(8): 212–214, 254
Li C L, Li Y and Ma L. 2010. A new method of coastline detection for remote sensing image. Computer Simulation, 27(8): 212–214, 254
李超鹏, 杨光. 2014. 一种基于海陆边界跟踪的快速海陆分割方法. 计算机科学, 41(10): 84–86, 100
Li C P and Yang G. 2014. Fast sea-land segmentation method based on maritime boundary tracking. Computer Science, 41(10): 84–86, 100
Li M and Zheng X S. 2016. A second modified normalized difference water index (SMNDWI) in the case of extracting the shoreline. Marine Science Bulletin, 18(2): 15–27
Li R R, Liu W J, Yang L, Sun S H, Hu W, Zhang F and Li W. 2017. DeepUNet: A deep fully convolutional network for pixel-level sea-land segmentation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11(11): 3954–3962
李秀梅, 袁承志, 李月洋. 2013. 渤海湾海岸带遥感监测及时空变化. 国土资源遥感, 25(2): 156–163
Li X M, Yuan C Z and Li Y Y. 2013. Remote sensing monitoring and spatial-temporal variation of Bohai Bay coastal zone. Remote Sensing for Land and Resources, 25(2): 156–163
Li Y, Li J and Lu Y. 2007. A fuzzy segmentation-based approach to extraction of coastlines from IKONOS imagery. Geomatica, 62(4): 407–417
李宗梅, 罗玉忠, 满旺, 孙凤琴. 2017. 基于遥感和GIS的福建省海岸线的提取和变化研究. 应用海洋学学报, 36(1): 125–134
Li Z M, Luo Y Z, Man W and Sun F Q. 2017. Extraction and analysis of coastline of Fujian province based on RS and GIS. Journal of Applied Oceanography, 36(1): 125–134
Liu C, Xiao Y Y and Yang J. 2017. A coastline detection method in polarimetric SAR images mixing the region-based and edge-based active contour models. IEEE Transactions on Geoscience and Remote Sensing, 55(7): 3735–3747
Liu C, Yang J, Yin J J and An W T. 2016. Coastline detection in SAR images using a hierarchical level set segmentation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9(11): 4908–4920
刘春, 殷君君, 杨健. 2016. 基于混合边缘检测的极化SAR图像海岸线检测. 系统工程与电子技术, 38(6): 1262–1267
Liu C, Yin J J and Yang J. 2016. Coastline detection in polarimetric SAR images based on mixed edge detection. Systems Engineering and Electronics, 38(6): 1262–1267
Liu H and Jezek K C. 2004. Automated extraction of coastline from satellite imagery by integrating Canny edge detection and locally adaptive thresholding methods. International Journal of Remote Sensing, 25(5): 937–958
刘鹏程. 2015. 基于水平集理论的海岸线轮廓特征提取. 国土资源遥感, 27(2): 75–79
Liu P C. 2015. Feature extraction of coastline contour based on level set theory. Remote Sensing for Land and Resources, 27(2): 75–79
刘善伟, 张杰, 马毅, 孙伟富. 2011. 遥感与DEM相结合的海岸线高精度提取方法. 遥感技术与应用, 26(5): 613–618
Liu S W, Zhang J, Ma Y and Sun W F. 2011. Coastline extraction method based on remote sensing and DEM. Remote Sensing Technology and Application, 26(5): 613–618
Liu X Y, Gao Z Q, Ning J C, Yu X and Zhang Y Y. 2016. An improved method for mapping tidal flats based on remote sensing waterlines: A case study in the Bohai Rim, China. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9(11): 5123–5129
刘勇, 黄海军, 严立文. 2013. 不同空间尺度下石臼陀岛海岸线提取的遥感应用研究. 遥感技术与应用, 28(1): 144–149
Liu Y, Huang H J and Yan L W. 2013. Remote sensing applications in extraction of Shijiutuo Island coastline based on different spatial scales. Remote Sensing Technology and Application, 28(1): 144–149
Liu Y X, Huang H J, Qiu Z F and Fan J Y. 2013. Detecting coastline change from satellite images based on beach slope estimation in a tidal flat. International Journal of Applied Earth Observation and Geoinformation, 23: 165–176
Liu Z L, Li F, Li N, Wang R and Zhang H. 2016. A novel region-merging approach for coastline extraction from Sentinel-1A IW mode SAR imagery. IEEE Geoscience and Remote Sensing Letters, 13(3): 324–328
马小峰, 赵冬至, 邢小罡, 张丰收, 文世勇, 杨帆. 2007. 海岸线卫星遥感提取方法研究. 海洋环境科学, 26(2): 185–189
Ma X F, Zhao D Z, Xing X G, Zhang F S, Wen S Y and Yang F. 2007. Means of withdrawing coastline by remote sensing. Marine Environmental Science, 26(2): 185–189
马小峰, 赵冬至, 张丰收, 文世勇, 杨帆. 2007. 海岸线卫星遥感提取方法研究进展. 遥感技术与应用, 22(4): 575–580
Ma X F, Zhao D Z, Zhang F S, Wen S Y and Yang F. 2007. An overview of means of withdrawing coastline by remote sensing. Remote Sensing Technology and Application, 22(4): 575–580
McFeeters S K. 1996. The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features. International Journal of Remote Sensing, 17(7): 1425–1432
Modava M and Akbarizadeh G. 2017. Coastline extraction from SAR images using spatial fuzzy clustering and the active contour method. International Journal of Remote Sensing, 38(2): 355–370
Mumford D and Shah J. 1989. Optimal approximations by piecewise smooth functions and associated variational problems. Communications on Pure and Applied Mathematics, 42(5): 577–685
Niedermeier A, Lehner S and van der Sanden J. 2001. Monitoring big river estuaries using SAR images//Proceedings of IGARSS 2001. Scanning the Present and Resolving the Future. IEEE 2001 International Geoscience and Remote Sensing Symposium. Sydney, NSW, Australia: IEEE: 1756-1758 [DOI: 10.1109/IGARSS.2001.977061]
Niedermeier A, Romaneessen E and Lehner S. 2000. Detection of coastlines in SAR images using wavelet methods. IEEE Transactions on Geoscience and Remote Sensing, 38(5): 2270–2281
Nunziata F, Buono A, Migliaccio M and Benassai G. 2016. Dual-polarimetric C- and X-band SAR data for coastline extraction. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9(11): 4921–4928
Nunziata F and Migliaccio M. 2013. Coherent dual-pol HH-HV SAR data to extract coastline//Proceedings of 2013 IEEE International Geoscience and Remote Sensing Symposium. Melbourne, VIC, Australia: IEEE: 3215-3218 [DOI: 10.1109/IGARSS.2013.6723511]
Nunziata F, Migliaccio M and Li X. 2012. Dual-polarized COSMO-SkyMed SAR data for coastline detection//Proceedings of 2012 IEEE International Geoscience and Remote Sensing Symposium. Munich, Germany: IEEE: 5109-5112 [DOI: 10.1109/IGARSS.2012.6352461]
Nunziata F, Migliaccio M, Li X F and Ding X W. 2014. Coastline extraction using dual-polarimetric COSMO-SkyMed PingPong mode SAR data. IEEE Geoscience and Remote Sensing Letters, 11(1): 104–108
Onana V P, Ngono J M, Trebossen H, Rudant J P and Tonye E. 2001. Coastline detection in SAR images using texture analysis in textural or geometrical multi-resolution//Proceedings of IGARSS 2001. Scanning the Present and Resolving the Future. IEEE 2001 International Geoscience and Remote Sensing Symposium. Sydney, NSW, Australia: IEEE: 1549-1551 [DOI: 10.1109/IGARSS.2001.976907]
Otsu N. 1979. A threshold selection method from gray-level histograms. IEEE Transactions on Systems, Man, and Cybernetics, 9(1): 62–66
Ouyang Y, Chong J S and Wu Y R. 2010. Two coastline detection methods in Synthetic Aperture Radar imagery based on Level Set Algorithm. International Journal of Remote Sensing, 31(17/18): 4957–4968
Paes R L, Nunziata F and Migliaccio M. 2015. Coastline extraction and coastal area classification via SAR hybrid-polarimetry architecture//Proceedings of 2015 IEEE International Geoscience and Remote Sensing Symposium. Milan, Italy: IEEE: 3798-3801 [DOI: 10.1109/IGARSS.2015.7326651]
Pardo-Pascual J E, Almonacid-Caballer J, Ruiz L A and Palomar-Vázquez J. 2012. Automatic extraction of shorelines from Landsat TM and ETM+ multi-temporal images with subpixel precision. Remote Sensing of Environment, 123: 1–11
乔学瑾, 王庆, 战超, 王昕, 王红艳, 杜国云, 李雪艳. 2016. 基于多光谱数据的黄河三角洲岸线自动提取. 海洋学报, 38(7): 59–71
Qiao X J, Wang Q, Zhan C, Wang X, Wang H Y, Du G Y and Li X Y. 2016. Study on automatic extraction of coastline in the Yellow River Delta based on multi-spectral data. Haiyang Xuebao, 38(7): 59–71
Qu G Z, Yu Q Z and Wang Y F. 2013. An improved method for SAR image coastline detection based on despeckling and SVM//Proceedings of the IET International Radar Conference 2013. Xi'an, China: IET: 1-6 [DOI: 10.1049/cp.2013.0268]
瞿继双, 王超, 王正志. 2003. 一种基于多阈值的形态学提取遥感图象海岸线特征方法. 中国图象图形学报, 8(7): 805–809
Qu J S, Wang C and Wang Z Z. 2003. A multi-threshold based morphological approach for extracting coastal line feature from remote sensed images. Journal of Image and Graphics, 8(7): 805–809
Ryan T W, Sementilli P J, Yuen P and Hunt B R. 1991. Extraction of shoreline features by neural nets and image processing. Photogrammetric Engineering and Remote Sensing, 57(7): 947–955
Sabuncu A, Dogru A, Ozener H and Turgut B. 2016. Detection of coastline deformation using remote sensing and geodetic surveys. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLI-B8: 1169-1174 [DOI: 10.5194/isprs-archives-XLI-B8-1169-2016]
Sekovski I, Stecchi F, Mancini F and del Rio L. 2014. Image classification methods applied to shoreline extraction on very high-resolution multispectral imagery. International Journal of Remote Sensing, 35(10): 3556–3578
Shan Z L, Wang C, Zhang H and Zhang B. 2010. Ocean-land segmentation based on active contour model for SAR imagery//Proceedings of 2010 International Conference on Computer and Communication Technologies in Agriculture Engineering. Chengdu, China: IEEE: 215-218 [DOI: 10.1109/CCTAE.2010.5545332]
申家双, 郭海涛, 李海滨, 邱富刚, 张祖鹏. 2013. 基于Canny算子和GAC模型相结合的影像水边线提取方法. 测绘科学技术学报, 30(3): 264–268
Shen J S, Guo H T, Li H B, Qiu F G and Zhang Z P. 2013. A water edge extraction method from images based on Canny operator and GAC model. Journal of Geomatics Science and Technology, 30(3): 264–268
沈琦, 汪承义, 赵斌. 2012. 几何活动轮廓模型用于高分辨率遥感影像海岸线自动提取. 复旦学报(自然科学版), 51(1): 77–82, 104
Shen Q, Wang C Y and Zhao B. 2012. Automatic waterline extraction in VHR imagery using geometric active contour model. Journal of Fudan University (Natural Science), 51(1): 77–82, 104
Sheng G F, Yang W, Deng X P, He C, Cao Y F and Sun H. 2012. Coastline detection in synthetic aperture radar (SAR) images by integrating watershed transformation and controllable gradient vector flow (GVF) Snake model. IEEE Journal of Oceanic Engineering, 37(3): 375–383
Shu Y M, Li J and Gomes G. 2010. Shoreline extraction from RADARSAT-2 intensity imagery using a narrow band level set segmentation approach. Marine Geodesy, 33(2/3): 187–203
Silveira M and Heleno S. 2008. Water/land segmentation in SAR images using level sets//Proceedings of the 15th IEEE International Conference on Image Processing. San Diego, CA, USA: IEEE: 1896-1899 [DOI: 10.1109/ICIP.2008.47121507]
Silveira M and Heleno S. 2009a. Classification of water regions in SAR images using level sets and non-parametric density estimation//Proceedings of the 16th IEEE International Conference on Image Processing. Cairo, Egypt: IEEE: 1685-1688 [DOI: 10.1109/ICIP.2009.5413391]
Silveira M and Heleno S. 2009b. Separation between water and land in SAR images using region-based level sets. IEEE Geoscience and Remote Sensing Letters, 6(3): 471–475
苏奋振. 2015. 海岸带遥感评估. 北京: 科学出版社
Su F Z. 2015. Assessment of Remote Sensing of the Coastal Zone. Beijing: Science Press
Sukcharoenpong A, Yilmaz A and Li R X. 2015. An integrated active contour approach to shoreline mapping using HSI and DEM. IEEE Transactions on Geoscience and Remote Sensing, 54(3): 1586–1597
Sun F Q, Hua L Z, Li H, Wang Y T and Chen Y Q. 2015. Detecting and analysis of coast changes of Xiamen Island by RS and GIS//Proceedings of the 2nd IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services. Fuzhou, China: IEEE: 197-201 [DOI: 10.1109/ICSDM.2015.7298053]
Sun R C, Shao F J, Wu S Y and Li S J. 2012. Study on coastline changes of Yellow River estuary using semi-supervised clustering//Proceedings of the International Conference on Automatic Control and Artificial Intelligence. Xiamen, China: IET: 1952-1955 [DOI: 10.1049/cp.2012.1376]
孙伟富, 马毅, 张杰, 刘善伟, 任广波. 2011. 不同类型海岸线遥感解译标志建立和提取方法研究. 测绘通报, (3): 41–44
Sun W F, Ma Y, Zhang J, Liu S W and Ren G B. 2011. Study of remote sensing interpretation keys and extraction technique of different types of shoreline. Bulletin of Surveying and Mapping, (3): 41–44
Tarmizi N M, Samad A M and Yusop M S M. 2014. Shoreline data extraction from QuickBird satellite image using semi-automatic technique//Proceedings of the IEEE 10th International Colloquium on Signal Processing and its Applications. Kuala Lumpur, Malaysia: IEEE: 157-162 [DOI: 10.1109/CSPA.2014.6805739]
Tello M, Lopez-Martinez C, Mallorqui J J and Bonastre R. 2006. Automatic detection of spots and extraction of frontiers in SAR images by means of the wavelet transform: Application to ship and coastline detection//Proceedings of 2006 IEEE International Symposium on Geoscience and Remote Sensing. Denver, CO, USA: IEEE: 383-386 [DOI: 10.1109/IGARSS.2006.103]
国家质量技术监督局. 2004a. GB 12327-1998 海道测量规范. 北京: 中国标准出版社
The State Bureau of Quality and Technical Supervision. 2004a. GB 12327-1998 Specifications for hydrographic survey. Beijing: Standards Press of China
国家质量技术监督局. 2004b. GB 12319-1998 中国海图图式. 北京: 中国标准出版社
The State Bureau of Quality and Technical Supervision. 2004b. GB 12319-1998 Symbols, abbreviations and terms used on Chinese nautical charts. Beijing: Standards Press of China
Tochamnanvita T and Muttitanon W. 2014. Investigation of coastline changes in three provinces of Thailand using remote sensing. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XL-8: 1079-1083 [DOI: 10.5149/isprsarchives-XL-8-1079-2014]
Tseng K H, Shum C K, Kim J W, Wang X W, Zhu K F and Cheng X. 2016. Integrating Landsat imageries and digital elevation models to infer water level change in Hoover Dam. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9(4): 1696–1709
Tzeng Y C, Chen D N and Chen K S. 2008. Integration of spatial chaotic model and type-2 fuzzy sets to coastline detection in SAR images//Proceedings of 2008 IEEE International Geoscience and Remote Sensing Symposium. Boston, MA, USA: IEEE: I-430-I-433 [DOI: 10.1109/IGARSS.2008.4778887]
万剑华, 王珂, 赵世来, 张纪松. 2011. 基于图形形态学的海岸线自动提取算法研究. 人民黄河, 33(10): 126–127, 130
Wan J H, Wang K, Zhao S L and Zhang J S. 2011. Fast automatic coastline extraction algorithm based on graphics morphology. Yellow River, 33(10): 126–127, 130
Wang H W, Chen K S, Li Z L and Liu Y. 2016. Quantitative analysis of shoreline changes in western Taiwan coast using time-series SAR images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9(11): 4898–4907
王琎, 吴志峰, 李少英, 王帅帅, 张晓诗, 高群. 2016. 珠江口湾区海岸线及沿岸土地利用变化遥感监测与分析. 地理科学, 36(12): 1903–1911
Wang J, Wu Z F, Li S Y, Wang S S, Zhang X S and Gao Q. 2016. Coastline and land use change detection and analysis with remote sensing in the Pearl River Estuary Gulf. Scientia Geographica Sinica, 36(12): 1903–1911
王建步, 张杰, 陈景云, 孙伟富, 马毅. 2015. 近30余年辽河口海岸线遥感变迁分析. 海洋环境科学, 34(1): 86–92
Wang J B, Zhang J, Chen J Y, Sun W F and Ma Y. 2015. Analysis of the Liaohe Estuary coastline changes basing on the remote sensing image in the past thirty years. Marine Environmental Science, 34(1): 86–92
王集宁, 蒙永辉, 张丽霞. 2016. 近42年黄河口海岸线遥感监测与变迁分析. 国土资源遥感, 28(3): 188–193
Wang J N, Meng Y H and Zhang L X. 2016. Remote sensing monitoring and change analysis of Yellow River Estuary coastline in the past 42 years. Remote Sensing for Land and Resources, 28(3): 188–193
王李娟, 牛铮, 赵德刚, 李英霞, 王忠波, 旷达. 2010. 基于ETM遥感影像的海岸线提取与验证研究. 遥感技术与应用, 25(2): 235–239
Wang L J, Niu Z, Zhao D G, Li Y X, Wang Z B and Kuang D. 2010. The study of coastline extraction and validation using ETM remote sensing image. Remote Sensing Technology and Application, 25(2): 235–239
Wang Y F, Yu Q Z, Lv W T and Yu W X. 2011. Coastline detection in SAR images using multi-feature and SVM//Proceedings of the 4th International Congress on Image and Signal Processing. Shanghai, China: IEEE: 1227-1230 [DOI: 10.1109/CISP.2011.6100487]
Wang Y X, Liu Y X, Li M C, Yan S, Ma X W, Zhang S and Zhang J. 2011. Extraction of sandbank shoreline of Jiangsu based on wavelet transformation//Proceedings of the 19th International Conference on Geoinformatics. Shanghai, China: IEEE: 1-4 [DOI: 10.1109/Geoinformatics.2011.5980914]
魏东岚, 曹晓晨. 2015. Matlab平台下遥感影像的北方岸线提取研究——以大连长兴岛为例. 测绘通报, (5): 80–83
Wei D L and Cao X C. 2015. Using satellite remote sensing image data to research the north coastline extraction based on Matlab - A case study of Changxing Island, Dalian city. Bulletin of Surveying and Mapping, (5): 80–83
毋亭, 侯西勇. 2016. 海岸线变化研究综述. 生态学报, 36(4): 1170–1182
Wu T and Hou X Y. 2016. Review of research on coastline changes. Acta Ecologica Sinica, 36(4): 1170–1182
吴小娟, 肖晨超, 崔振营, 刘肖姬. 2015. " 高分二号”卫星数据面向对象的海岸线提取法. 航天返回与遥感, 36(4): 84–92
Wu X J, Xiao C C, Cui Z Y and Liu X J. 2015. Coastline extraction based on object-oriented method using GF-2 satellite data. Spacecraft Recovery and Remote Sensing, 36(4): 84–92
Wu X L, Liu C X and Wu G F. 2018. Spatial-temporal analysis and stability investigation of coastline changes: a case study in Shenzhen, China. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11(1): 45–56
吴一全, 孟天亮, 吴诗婳. 2015. 图像阈值分割方法研究进展20年(1994-2014). 数据采集与处理, 30(1): 1–23
Wu Y Q, Meng T L and Wu S H. 2015. Research progress of image thresholding methods in recent 20 years (1994-2014). Journal of Data Acquisition and Processing, 30(1): 1–23
Xia G S, Hu J W, Hu F, Shi B G, Bai X, Zhong Y F, Zhang L P and Lu X Q. 2017. AID: a benchmark data set for performance evaluation of aerial scene classification. IEEE Transactions on Geoscience and Remote Sensing, 55(7): 3965–3981
谢明鸿, 张亚飞, 付琨. 2007. 基于种子点增长的SAR图像海岸线自动提取算法. 中国科学院研究生院学报, 24(1): 93–98
Xie M H, Zhang Y F and Fu K. 2007. Algorithm of detection coastline from SAR images based on seeds growing. Journal of Graduate School of the Chinese Academy of Sciences, 24(1): 93–98
Xu C Y and Prince J L. 1997. Gradient vector flow: a new external force for snakes//Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition. San Juan, Puerto Rico, USA: IEEE: 66-71 [DOI: 10.1109/CVPR.1997.609299]
徐涵秋. 2005. 利用改进的归一化差异水体指数(MNDWI)提取水体信息的研究. 遥感学报, 9(5): 589–595
Xu H Q. 2005. A study on information extraction of water body with the modified normalized difference water index (MNDWI). Journal of Remote Sensing, 9(5): 589–595
严海兵, 李秉柏, 陈敏东. 2009. 遥感技术提取海岸线的研究进展. 地域研究与开发, 28(1): 101–105
Yan H B, Li B B and Chen M D. 2009. Progress of researches in coastline extraction based on RS technique. Areal Research and Development, 28(1): 101–105
杨虎, 郭华东, 王长林. 2001. TM-SAR数据融合在黄河口沙咀动态监测中的应用研究. 地理学与国土研究, 17(4): 15–19
Yang H, Guo H D and Wang C L. 2001. Coast line dynamic inspect and land cover classification at Yellow River mouth using TM-SAR data fusion method. Geography and Territorial Research, 17(4): 15–19
Yin J Z and He F Q. 2011. Researching the method of coastline extracted by remote sensing image//Proceedings of 2011 International Conference on Remote Sensing, Environment and Transportation Engineering. Nanjing, China: IEEE: 3441-3444 [DOI: 10.1109/RSETE.2001.5965052]
Yousef A and Iftekharuddin K. 2014. Shoreline extraction from the fusion of LiDAR DEM data and aerial images using mutual information and genetic algrithms//Proceedings of 2014 International Joint Conference on Neural Networks. Beijing, China: IEEE: 1007-1014 [DOI: 10.1109/IJCNN.2014.6889863]
于彩霞, 王家耀, 暴景阳, 许军, 陈惠荣. 2015a. 一种基于LiDAR点云栅格化的海岸线提取方法. 测绘科学技术学报, 32(2): 187–191, 196
Yu C X, Wang J Y, Bao J Y, Xu J and Chen H R. 2015a. A binary image optimization method of extracting coastline based on LiDAR data. Journal of Geomatics Science and Technology, 32(2): 187–191, 196
于彩霞, 王家耀, 黄文骞, 许坚. 2017. 基于LiDAR点云提取海岸线的二值图像化改进方法. 武汉大学学报(信息科学版), 42(7): 897–903
Yu C X, Wang J Y, Huang W Q and Xu J. 2017. An improved binary image method of extracting shoreline based on LiDAR data. Geomatics and Information Science of Wuhan University, 42(7): 897–903
于彩霞, 王家耀, 许军, 彭认灿, 成毅, 王沫. 2014. 海岸线提取技术研究进展. 测绘科学技术学报, 31(3): 305–309
Yu C X, Wang J Y, Xu J, Peng R C, Cheng Y and Wang M. 2014. Advance of coastline extraction technology. Journal of Geomatics Science and Technology, 31(3): 305–309
于彩霞, 许军, 许坚, 郑义东, 李改肖. 2015. 一种从LiDAR点云中提取海岸线的新方法. 测绘通报, (5): 66–68
Yu C X, Xu J, Xu J, Zheng Y D and Li G X. 2015. A new method of extracting coastlines from LiDAR point clouds. Bulletin of Surveying and Mapping, (5): 66–68
余景, 陈丕茂, 贾晓平, 唐振朝, 秦传新. 2012. 基于遥感和GIS技术的水边线提取方法研究进展. 安徽农业科学, 40(32): 15989–15991
Yu J, Chen P M, Jia X P, Tang Z C and Qin C X. 2012. Research progress on coastline extraction based on remote sensing and GIS technique. Journal of Anhui Agricultural Sciences, 40(32): 15989–15991
于杰, 杜飞雁, 陈国宝, 黄洪辉, 李永振. 2009. 基于遥感技术的大亚湾海岸线的变迁研究. 遥感技术与应用, 24(4): 512–516
Yu J, Du F Y, Chen G B, Huang H H and Li Y Z. 2009. Research on coastline change of Daya Bay using remote sensing technology. Remote Sensing Technology and Application, 24(4): 512–516
喻金桃, 郭海涛, 李传广, 卢俊, 姜春雪. 2016. 四叉树与多种活动轮廓模型相结合的遥感影像水边线提取方法. 测绘学报, 45(9): 1104–1114
Yu J T, Guo H T, Li C G, Lu J and Jiang C X. 2016. A waterline extraction method from remote sensing image based on quad-tree and multiple active contour model. Acta Geodaetica et Cartographica Sinica, 45(9): 1104–1114
余连生, 李智勇, 文贡坚, 杜春. 2011. 遥感图像融合技术在潮间带地形提取中的应用. 测绘学报, 40(5): 551–554, 562
Yu L S, Li Z Y, Wen G J and Du C. 2011. Application of intertidal zone extraction based on remote sensing images fusion technique. Acta Geodaetica et Cartographica Sinica, 40(5): 551–554, 562
Yu Y and Acton S T. 2004. Automated delineation of coastline from polarimetric SAR imagery. International Journal of Remote Sensing, 25(17): 3423–3438
詹雅婷, 朱利, 孙永华, 苏晓蓓, 侯海倩. 2017. 海岸线遥感光谱角度—距离相似度生长模型自动化提取. 遥感学报, 21(3): 458–469
Zhan Y T, Zhu L, Sun Y H, Su X B and Hou H Q. 2017. Automatic extraction of coastline via spectral angle-distance similarity growth model. Journal of Remote Sensing, 21(3): 458–469
张明, 蒋雪中, 张俊儒, 田波. 2008. 遥感影像海岸线特征提取研究进展. 人民黄河, 30(6): 7–9
Zhang M, Jiang X Z, Zhang J R and Tian B. 2008. Progress of study on characteristic collection of coastline through remote sensing images. Yellow River, 30(6): 7–9
张鹏. 2010. 基于平稳小波变换的SAR图像海岸线提取. 青岛: 中国海洋大学
Zhang P. 2010. Coastline Detection in SAR Images Based on Stationary Wavelet Transform. Qingdao: Ocean University of China
张霞, 庄智, 张旭凯, 杨邦会. 2014. 秦皇岛市海岸线遥感提取及变化监测. 遥感技术与应用, 29(4): 625–630
Zhang X, Zhuang Z, Zhang X K and Yang B H. 2014. Coastline extraction and change monitoring by remote sensing technology in Qinhuangdao city. Remote Sensing Technology and Application, 29(4): 625–630
Zhang X K, Zhang X, Lan Q Q and Baig M H A. 2012. Automated detection of coastline using Landsat TM based on water index and edge detection methods//Proceedings of 2012 Second International Workshop on Earth Observation and Remote Sensing Applications. Shanghai, China: IEEE: 153-156 [DOI: 10.1109/EORSA.2012.6261155]
张旭凯, 张霞, 杨邦会, 庄智, 尚坤. 2013. 结合海岸类型和潮位校正的海岸线遥感提取. 国土资源遥感, 25(4): 91–97
Zhang X K, Zhang X, Yang B H, Zhuang Z and Shang K. 2013. Coastline extraction using remote sensing based on coastal type and tidal correction. Remote Sensing for Land and Resources, 25(4): 91–97
张朝阳, 冯伍法, 张俊华. 2005. 基于色差的遥感影像海岸线提取. 测绘学院学报, 22(4): 259–262
Zhang Z Y, Feng W F and Zhang J H. 2005. A coastline-detection method based on the color difference for the RS image. Journal of Institute of Surveying and Mapping, 22(4): 259–262
赵玉灵. 2017. 近40年来伶仃洋海岸线与红树林遥感调查与演变分析. 国土资源遥感, 29(1): 136–142
Zhao Y L. 2017. Remote sensing dynamic monitoring of the shoreline and the mangrove wetland in the Lingdingyang Estuary in the past 40 years. Remote Sensing for Land and Resources, 29(1): 136–142
周亚男, 朱志文, 沈占锋, 程熙. 2012. 融合纹理特征和空间关系的TM影像海岸线自动提取. 北京大学学报(自然科学版), 48(2): 273–279
Zhou Y N, Zhu Z W, Shen Z F and Cheng X. 2012. Automatic extraction of coastline from TM image integrating texture and spatial relationship. Acta Scientiarum Naturalium Universitatis Pekinensis, 48(2): 273–279
朱长明, 张新, 骆剑承, 李万庆, 杨纪伟. 2013. 基于样本自动选择与SVM结合的海岸线遥感自动提取. 国土资源遥感, 25(2): 69–74
Zhu C M, Zhang X, Luo J C, Li W Q and Yang J W. 2013. Automatic extraction of coastline by remote sensing technology based on SVM and auto-selection of training samples. Remote Sensing for Land and Resources, 25(2): 69–74
朱俊凤, 王耿明, 张金兰, 黄铁兰. 2013. 珠江三角洲海岸线遥感调查和近期演变分析. 国土资源遥感, 25(3): 130–137
Zhu J F, Wang G M, Zhang J L and Huang T L. 2013. Remote sensing investigation and recent evolution analysis of Pearl River delta coastline. Remote Sensing for Land and Resources, 25(3): 130–137
朱小鸽. 2002. 珠江口海岸线变化的遥感监测. 海洋环境科学, 21(2): 19–22
Zhu X G. 2002. Remote sensing monitoring of coastline changes in Pearl River Estuary. Marine Environmental Science, 21(2): 19–22
庄翠蓉. 2009. 厦门海岸线遥感动态监测研究. 海洋地质动态, 25(4): 13–17
Zhuang C R. 2009. Remote-sensing dynamic monitoring of Xiamen coastline. Marine Geology Letters, 25(4): 13–17
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