Extraction of digital surface model based on TerraSAR-X radargrammetry over a typical forest region in northeast China

Huina YU; Wenjian NI; Yulin CAI; Zhiyu ZHANG; Guoqing SUN; Haoyang YU

doi:10.11834/jrs.20186498

Remote Sensing Applications | Views : 0 下载量: 599 CSCD: 0

PDF
Export
Share
Collection
Album

Extraction of digital surface model based on TerraSAR-X radargrammetry over a typical forest region in northeast China
Vol. 22, Issue 1, Pages: 174-184(2018)
Received：20 January 2017，

Accepted：09 August 2017，

Published：2018-01
DOI： 10.11834/jrs.20186498
稿件说明：

移动端阅览

于慧娜, 倪文俭, 蔡玉林, 张志玉, 孙国清, 于浩洋. 2018. TerraSAR-X立体雷达数据提取东北典型林区DSM. 遥感学报, 22(1): 174–184 DOI： 10.11834/jrs.20186498.

Yu H N, Ni W J, Cai Y L, Zhang Z Y, Sun G Q and Yu H Y. 2018. Extraction of digital surface model based on TerraSAR-X radargrammetry over a typical forest region in northeast China. Journal of Remote Sensing, 22(1): 174–184 DOI： 10.11834/jrs.20186498.

摘要

森林垂直结构信息缺乏严重制约森林地上生物量估算精度的提高。立体雷达具备对森林垂直结构探测的能力，但早期雷达图像分辨率低。TerraSAR-X等高分辨率雷达数据的出现为利用立体雷达数据进行森林垂直结构探测提供了新的契机。本研究尝试采用立体雷达处理技术，利用TerraSAR-X stripmap模式数据，以内蒙古根河大兴安岭林区和长白山自然保护区为研究区，重点探讨金字塔分层匹配策略中涉及的关键匹配参数对DSM提取精度的影响规律。结果发现：(1) 影像匹配采用的金字塔层数对DSM提取精度影响明显，在大兴安岭研究区，采用5、6、7层金字塔匹配得到的DSM误差在±10 m内的像元百分比分别为81.8%、77.7%和77.1%，5层金字塔能以较高的初始分辨率减少林区纹理信息的损失；在长白山研究区，采用7层金字塔得到的DSM能够抑制明显的误匹配点，提高地形提取精度；(2) 影像匹配窗口对同名点识别的质量影响明显，采用25×25的匹配窗口，与9×9匹配窗口相比，大兴安岭和长白山研究区影像的平均相关性分别由0.43、0.40提高到0.49、0.45，林区纹理信息欠丰富，宜采用较大匹配窗口；(3) 大兴安岭和长白山研究区提取的DSM与参考DSM线性回归的RMSE分别为6.682 m和10.384 m，DSM误差主要存在于坡度变化剧烈的地区，透视收缩和叠掩等几何畸变导致匹配结果不可靠。

Abstract

The information on vertical forest structure is important to accurately estimate aboveground biomass. Stereoscopic radar has the capability to detect the vertical structure of forest stands. However

the radar image resolution is low in the early stages. The emergence of high-resolution radar data such as TerraSAR-X provides an opportunity to detect vertical forest structures using stereoscopic radar data. The goal of the current study is to examine the influence of critical matching parameters on DSM extraction using stereoscopic radar data. We evaluated the DSMs extracted using the TerraSAR-X stereoscopic radar data of stripmap mode over the Daxing’anling forest area and Changbai Mountain nature reserve. The critical parameters examined included the number of pyramid layers

matching window size

and search range. Result: (1) In the Daxing’anling study area where the parallax was small

the DSM accuracy improved as the number of pyramid layers decreased. We used five

six

and seven pyramid layers in the matching process. DSM errors within ± 10 m accounted for 81.8%

77.7%

and 77.1% of the total number of pixels. Over the area where the parallax was large

such as in the Changbai Mountain study area

increasing the number of pyramids proved useful in correcting matching errors. The DSM obtained by the seven pyramid layers could reflect the correct terrain. (2) A large matching window improved the correlation of the image pair and reduced the noise caused by the lack of texture information in the forest area. The average correlation of the two study areas increased from 0.43 and 0.40 to 0.49 and 0.45

respectively

when a large window was applied over the two test areas. (3) Compared with that of the reference data

the RMSEs of the extracted DSM were 6.682 and 10.384 m over the Daxing’anling area and Changbai Mountain

respectively. Large errors occurred where the slope changed significantly. Significant slope changes resulted in large geometric distortions such as foreshortening and overlap. In these cases

corresponding matching points could not be found with our matching algorithm

resulting in the failure of matching results. The influences of critical matching parameters on DSM extraction were obvious. The proper settings of the number of pyramid layers

matching window size

and search ranges should be carefully evaluated.

关键词

Keywords

references

Capaldo P, Crespi M, Fratarcangeli F, Nascetti A and Pieralice F. 2011. High-resolution SAR radargrammetry: a first application with COSMO-SkyMed spotlight imagery. IEEE Geoscience and Remote Sensing Letters, 8(6): 1100–1104

Capaldo P, Nascetti A, Porfiri M, Pieralice F, Fratarcangeli F, Crespi M and Toutin T. 2015. Evaluation and comparison of different radargrammetric approaches for digital surface models generation from COSMO-SkyMed, TerraSAR-X, RADARSAT-2 imagery: analysis of Beauport (Canada) test site. ISPRS Journal of Photogrammetry and Remote Sensing, 100: 60–70

d’Ozouville N, Deffontaines B, Benveniste J, Wegmüller U, Violette S and de Marsily G. 2008. DEM generation using ASAR (ENVISAT) for addressing the lack of freshwater ecosystems management, Santa Cruz Island, Galapagos. Remote Sensing of Environment, 112(11): 4131–4147

贺雪艳, 张路, Balz T, 廖明生. 2013. 利用外部DEM辅助山区SAR立体像对匹配及地形制图. 测绘学报, 42(3): 425–432

He X Y, Zhang L, Balz T and Liao M S. 2013. Topographic mapping in mountainous areas using StereoSAR assisted by external DEM. Acta Geodaetica et Cartographica Sinica, 42(3): 425–432 (

侯光雷, 张洪岩, 郭聃, 郭笑怡. 2012. 长白山区植被生长季NDVI时空变化及其对气候因子敏感性. 地理科学进展, 31(3): 285–292

Hou G L, Zhang H Y, Guo D and Guo X Y. 2012. Spatial-temporal variation of NDVI in the growing season and its sensitivity to climatic factors in Changbai mountains. Progress in Geography, 31(3): 285–292 (

黄世奇, 刘代志. 2007. 星载SAR成像与SAR图像中一些不确定性因素分析. 测绘学报, 36(2): 152–157

Huang S Q and Liu D Z. 2007. Analysis of some uncertain factors in spaceborne SAR imaging and SAR image. Acta Geodaetica et Cartographica Sinica, 36(2): 152–157 (

La Prade G. 1963. An analytical and experimental study of stereo for radar. Photogrammetric Engineering, 29(2): 294–300

Lee J S, Wen J H, Ainsworth T L, Chen K S and Chen A J. 2009. Improved sigma filter for speckle filtering of SAR imagery. IEEE Transactions on Geoscience and Remote Sensing, 47(1): 202–213

Li Z L, Liu G X and Ding X L. 2006. Exploring the generation of digital elevation models from same-side ERS SAR images: topographic and temporal effects. The Photogrammetric Record, 21(114): 124–140

刘茜, 杨乐, 柳钦火, 李静. 2015. 森林地上生物量遥感反演方法综述. 遥感学报, 19(1): 62–74

Liu Q, Yang L, Liu Q H and Li J. 2015. Review of forest above ground biomass inversion methods based on remote sensing technology. Journal of Remote Sensing, 19(1): 62–74 (

Nonaka T, Hayakawa T, Griffiths S and Mercer B. 2009. DEM production utilizing stereo technology of TerraSAR-X data//Proceedings of IEEE International, IGARSS 2009 Geoscience and Remote Sensing Symposium. Cape Town: IEEE: IV-157-IV-160 [DOI: 10.1109/IGARSS.2009.5417350]

Palm S, Oriot H M and Cantalloube H M. 2012. Radargrammetric DEM extraction over urban area using circular SAR imagery. IEEE Transactions on Geoscience and Remote Sensing, 50(11): 4720–4725

Perko R, Raggam H, Deutscher J, Gutjahr K and Schardt M. 2011. Forest assessment using high resolution SAR data in X-band. Remote Sensing, 3(4): 792–815

Persson H and Fransson J E S. 2014. Forest variable estimation using radargrammetric processing of Terrasar-X images in boreal forests. Remote Sensing, 6(3): 2084–2107

Raggam H, Gutjahr K, Perko R and Schardt M. 2010. Assessment of the stereo-radargrammetric mapping potential of TerraSAR-X multibeam spotlight data. IEEE Transactions on Geoscience and Remote Sensing, 48(2): 971–977

Salvini R, Carmignani L, Francioni M and Casazza P. 2015. Elevation modelling and palaeo-environmental interpretation in the Siwa area (Egypt): application of SAR interferometry and radargrammetry to COSMO-SkyMed imagery. CATENA, 129: 46–62

Solberg S, Riegler G and Nonin P. 2015. Estimating forest biomass from TerraSAR-X stripmap radargrammetry. IEEE Transactions on Geoscience and Remote Sensing, 53(1): 154–161

Toutin T. 2000. Evaluation of radargrammetric DEM from RADARSAT images in high relief areas. IEEE Transactions on Geoscience and Remote Sensing, 38(2): 782–789

魏亚伟, 周旺明, 周莉, 于大炮, 周永斌, 秦胜金, 代力民. 2015. 兴安落叶松天然林碳储量及其碳库分配特征. 生态学报, 35(1): 189–195

Wei Y W, Zhou W M, Zhou L, Yu D P, Zhou Y B, Qin S J and Dai L M. 2015. Carbon storage and its distribution pattern in the natural Larix gmelinii forests on Daxing’an mountains. Acta Ecologica Sinica, 35(1): 189–195 (

Woodwell G M, Whittaker R H, Reiners W A, Likens G E, Delwiche C C and Botkin D B. 1978. The biota and the world carbon budget. Science, 199(4325): 141–146

Yu J H, Ge L L and Li X J. 2014. Radargrammetry for digital elevation model generation using envisat reprocessed image and simulation image. IEEE Geoscience and Remote Sensing Letters, 11(9): 1589–1593

张永红, 张继贤, 刘明军, 林宗坚. 2007. 星载合成孔径雷达构像方程及其应用于轨道精化的研究. 遥感学报, 11(6): 771–777

Zhang Y H, Zhang J X, Liu M J and Lin Z J. 2007. Imaging model for space-borne SAR and its application in orbit refinement. Journal of Remote Sensing, 11(6): 771–777 (

周月琴, 郑肇葆, 李德仁, 舒宁. 1998. SAR图像立体定位原理与精度分析. 遥感学报, 2(4): 245–250

Zhou Y Q, Zheng Z B, Li D R and Shu N. 1998. Stereopair positioning algorithm for SAR images and its accuracy analysis model. Journal of Remote Sensing, 2(4): 245–250 (

Alert me when the article has been cited

提交

Monitoring displacement of Laohugou glacier No. 12 based on Landsat 8 and TerraSAR-X images

A Detailed Protected Method of Extracting Digital Terrain Model from Airborne Laser Point Cloud in Urban Areas