浏览全部资源
扫码关注微信
Published： 07 July 2023 ，
扫 描 看 全 文
曹海玲，王正海，秦昊洋，孙袁超，尹国盼.2023.基于加权融合TIR数据的LST反演与硅化信息提取——以广东仁差盆地铀多金属矿区为例.遥感学报，27（7）： 1691-1701
Cao H L，Wang Z H，Qin H Y，Sun Y C and Yin G P. 2023. Inversion of LST and extraction of silicification alteration informationbased on the weighted fusion TIR data： A case study of the Uranium Polymetallic mining area in RenCha basin of Guangdong province. National Remote Sensing Bulletin， 27（7）：1691-1701
硅化蚀变带是多种金属热液矿床的重要找矿标志之一，利用遥感技术实现快速大范围识别硅化蚀变信息具有重要意义，但硅化蚀变通常为弱信息，目前常规的遥感方法难以有效识别。本文以广东省仁差盆地铀矿区为例，以PAN图像高频分量图与TIR图像进行加权融合并进行地温反演，分析硅化蚀变带与地温异常的关系，建立遥感硅化蚀变弱信息增强识别模型。结果表明：采用PAN图像高频分量图像与TIR图像进行加权融合，可提高TIR图像的空间分辨率，较好保存热目标光谱特征；融合前后数据反演的LST图变化不大，后者提高了对地物热异常识别能力；硅化蚀变带在近似LST图中表现为较断裂带更为细小的高温异常带，并以此为依据进行预测识别。经验证，已知硅化带与识别硅化带较为吻合。
The silicification alteration zone is an important prospecting indicator for many kinds of metallic hydrothermal deposits. Identifying the silicification alteration information rapidly and widely by remote sensing technology is vital. However
the width of the silicide alteration zone is only a few meters to hundreds of meters
and it appears as a thin band of a fine ribbon. At present
most of the commonly used thermal infrared data have low spatial resolution and fuzzy spatial details
which limit their applications in identifying microsilicide alteration zones. Based on the study of the land surface temperature anomaly characteristics of the siliceous alteration zone in the Rencha basin
the enhancement recognition model of siliceous alteration with weak information is established to strengthen the recognition and analysis of the siliceous alteration information.
In this study
the PAN image high-frequency component map and TIR image are weighted and fused by taking the uranium mining area in the Rencha basin of Guangdong Province as an example. Then
a remote sensing model of silicified alteration weakening information enhancement identification is established. This model is based on the analysis of the topographic characteristics of the silicified alteration zone in the Rencha basin and the discussion of its relationship with LST anomalies.
The results show that the weighted fusion of the PAN and TIR image can improve the spatial resolution of the TIR image and preserve the spectral characteristics of the thermal target effectively. In addition
the LST image slightly changes before and after fusion
and the latter improves the ability to identify the thermal anomalies of ground objects. Finally
the silicatization alteration zone
a high-temperature anomaly zone smaller than the fault zone in the approximate LST diagram
is predicted and identified accordingly.
In conclusion
the information on the silicified alteration zone in the Rencha basin can be enhanced by the LST retrieval of the weighted fusion image. The silicified bands predicted and identified via this method are consistent with the known ones. This finding illustrates that this method is well applied to identifying the silicified alteration zone in the uranium mining area of the Rencha basin.
仁差盆地热红外TIR图像融合硅化蚀变带
RenCha BasinThermal Infrared (TIR)image fusionsilicified alteration zone
Deng S B, Chen Q J, Du H J and Xu E H. 2014. ENVI Remote Sensing Image Processing Methods. 2nd ed. Beijing: Higher Education Press: 419-420
邓书斌, 陈秋锦, 杜会建, 徐恩惠. 2014. ENVI遥感图像处理方法.2版. 北京: 高等教育出版社: 419-420
Duan S B，Ru C，Li Z L，Wang M M，Xu H Q，Li H，Wu P H，Zhan W F，Zhou J，Zhao W，Ren H Z，Wu H，Tang B H，Zhang X，Shang Guo F and Qin Z H. 2021. Reviews of methods for land surface temperature retrieval from Landsat thermal infrared data. National Remote Sensing Bulletin， 25（8）：1591-1617 .
段四波，茹晨，李召良，王猛猛，徐涵秋，历华，吴鹏海，占文凤，周纪，赵伟，任华忠，吴骅，唐伯惠，张霞，尚国琲，覃志豪.2021.Landsat卫星热红外数据地表温度遥感反演研究进展.遥感学报，25（8）：1591-1617 DOI：10.11834/jrs.20211296http://dx.doi.org/10.11834/jrs.20211296
Guo B J, Zhang J L, Wu D and Zhang C. 2017a. Application of airborne hyperspectral remote sensing in the exploration of granite type Sn deposit. Uranium Geology, 33(4): 241-245
郭帮杰, 张杰林, 武鼎, 张川. 2017a. 航空高光谱遥感在花岗岩型锡矿勘查中的应用研究. 铀矿地质, 33(4): 241-245 [DOI: 10.3969/j.issn.1000-0658.2017.04.008http://dx.doi.org/10.3969/j.issn.1000-0658.2017.04.008]
Guo B J, Zhang J L, Wu D and Zhang C. 2017b. Application of hyperspectral remote sensing in silicified zone identification. Science Technology and Engineering, 17(3): 154-158
郭帮杰, 张杰林, 武鼎, 张川. 2017b. 高光谱遥感在硅化带识别中的应用. 科学技术与工程, 17(3): 154-158 [DOI: 10.3969/j.issn.1671-1815.2017.03.022http://dx.doi.org/10.3969/j.issn.1671-1815.2017.03.022]
Hou M P and Gao S D. 2001. The silicified zones characteristics of Dang Chong formation and the preliminarily exploration on its coming into Being in Ore Area No. 320. Journal of East China Geological Institute, 24(4): 277-281
侯满平, 高仕达. 2001. 320矿区当冲组“硅化带”的特征及成因初探. 华东地质学院学报, 24(4): 277-281 [DOI: 10.3969/j.issn.1674-3504.2001.04.003http://dx.doi.org/10.3969/j.issn.1674-3504.2001.04.003]
Hua L Z, Deng Q Q, Zhang M L, Yin K and Zhang X X. 2017. Comparisons of fusion algorithms using Landsat 8 OLI image. Journal of Xiamen University of Technology, 25(1): 5-11
花利忠, 邓琪琪, 张敏莉, 尹锴, 章欣欣. 2017. 基于Landsat 8 OLI遥感影像的融合算法比较. 厦门理工学院学报, 25(1): 5-11 [DOI: 10.3969/j.issn.1673-4432.2017.01.002http://dx.doi.org/10.3969/j.issn.1673-4432.2017.01.002]
Jiang X C, Deng Z D, Wu G Y and Wang D H. 2018. Comparisons on fusion algorithms of Landsat 8 OLI multi-spectral and panchromatic images. Information Technology and Network Security, 37(8): 31-35
姜晓晨, 邓正栋, 武国瑛, 王东豪. 2018. Landsat 8 OLI多光谱与全色影像融合算法的比较. 信息技术与网络安全, 37(8): 31-35 [DOI: 10.19358/j.issn.2096-5133.2018.08.008http://dx.doi.org/10.19358/j.issn.2096-5133.2018.08.008]
Jung H S and Park S W. 2014. Multi-sensor fusion of Landsat 8 thermal infrared (TIR) and panchromatic (PAN) images. Sensors, 14(12): 24425-24440 [DOI: 10.3390/s141224425http://dx.doi.org/10.3390/s141224425]
Laben C A, Bernard V and Brower W. 2000. Process for enhancing the spatial resolution of multispectral imagery using pan-sharpening. U.S. No. 6011875
Li C J, Liu L Y, Wang J H and Wang R C. 2004. Comparison of two methods of fusing remote sensing images with fidelity of spectral information. Journal of Image and Graphics, 9(11): 1376-1385
李存军, 刘良云, 王纪华, 王人潮. 2004. 两种高保真遥感影像融合方法比较. 中国图象图形学报, 9(11): 1376-1385
Liu D F, Chen S B, Chen L and Ma M. 2015. Silicification information extraction based on the content of SiO2 from ASTER TIR data. Earth Science—Journal of China University of Geosciences, 40(8): 1396-1402
刘道飞, 陈圣波, 陈磊, 马明. 2015. 以SiO2含量为辅助因子的ASTER热红外遥感硅化信息提取. 地球科学—中国地质大学学报, 40(8): 1396-1402 [DOI: 10.3799/dqkx.2015.124http://dx.doi.org/10.3799/dqkx.2015.124]
Liu L, Wu M M, Yin C J, Zhou J, Xie W Y and Yin C T. 2019. Influence of the different spatial resolutions for alteration mineral mapping. Remote Sensing Technology and Application, 34(5): 1040-1047
刘磊, 吴朦朦, 尹翠景, 周军, 谢文杨, 尹春涛. 2019. 影像空间分辨率对蚀变信息提取结果的影响研究. 遥感技术与应用, 34(5): 1040-1047 [DOI: 10.11873/j.issn.1004-0323.2019.5.1040http://dx.doi.org/10.11873/j.issn.1004-0323.2019.5.1040]
Liu Q. 2019. Characteristics and metallogenic mechanism of Chagan volcanic-type uranium-polymetal deposits in Rencha basin, Northeastern Guangdong. Mineral Resources and Geology, 33(1): 77-82
刘峤. 2019. 粤东北仁差盆地察甘火山岩型铀—多金属矿床成矿特征及其成矿机理探讨. 矿产与地质, 33(1): 77-82 [DOI: 10.3969/j.issn.1001-5663.2019.01.010http://dx.doi.org/10.3969/j.issn.1001-5663.2019.01.010]
Liu Y Y, Lu Y X, Liang Y W, Peng Z L, Huang Q R and Ma H M. 2007. Analysis on metallogenic conditions of Rencha volcanic basin. Journal of Guilin University of Technology, 27(4): 469-473
刘延勇, 卢映新, 梁业武, 彭卓伦, 黄秋荣, 马浩明. 2007. 仁差火山盆地多金属成矿条件分析. 桂林工学院学报, 27(4): 469-473 [DOI: 10.3969/j.issn.1674-9057.2007.04.002http://dx.doi.org/10.3969/j.issn.1674-9057.2007.04.002]
Lou F, Yu Y S, Zheng Y, Lan H C, Zhu X Q and Qiu W. 2017. Tectonic evolution and mechanism of uranium mineralization structure in the Rencha Basin, Northeastern Guangdong. Acta Scientiarum Naturalium Universitatis Sunyatseni, 56(4): 145-153
娄峰, 于玉帅, 郑义, 蓝恒春, 朱晓琼, 邱惟. 2017. 粤东北仁差盆地构造演化与铀成矿构造机制探讨. 中山大学学报 (自然科学版), 56(4): 145-153 [DOI: 10.13471/j.cnki.acta.snus.2017.04.022http://dx.doi.org/10.13471/j.cnki.acta.snus.2017.04.022]
Lu S L, Shen X H, Zou L J, Li C J, Zhang G F, Wu W Y, Liu Y and Zhang Z. 2009. Subsection mean method for relation analysis of the land surface temperature field and the fault: a case study of the Jiangshan-Shaoxing fault between Jinhua and Quzhou of Zhejiang province. Acta Geologica Sinica, 83(2): 239-246
卢善龙, 沈晓华, 邹乐君, 李长江, 章桂芳, 吴文渊, 刘瑛, 张重. 2009. 用于地表温度场与断裂构造关系分析的分段均值法——以江山—绍兴断裂金衢段为例. 地质学报, 83(2): 239-246 [DOI: 10.3321/j.issn:0001-5717.2009.02.009http://dx.doi.org/10.3321/j.issn:0001-5717.2009.02.009]
Qin Z H, Li W J, Xu B, Chen Z X, and Liu J. 2004. The estimation of land surface emissivity for Landsat TM6. Remote Sensing for Land and Resources, (3): 28-32, 36, 41
覃志豪, 李文娟, 徐斌, 陈仲新, 刘佳. 2004. 陆地卫星TM6波段范围内地表比辐射率的估计. 国土资源遥感, (3): 28-32, 36, 41
Shi C, Huang C, Li S and Nie F. 2020. Identification of buried fault based on TVDI index and land surface temperature inversion. Yangtze River, 51(2): 107-111
史超, 黄超, 李书, 聂峰. 2020. 基于TVDI指数的隐伏断层识别. 人民长江, 51(2): 107-111 [DOI: 10.16232/j.cnki.1001-4179.2020.02.019http://dx.doi.org/10.16232/j.cnki.1001-4179.2020.02.019]
Tang S L，Cao J N and Wang K. 2021. Remote sensing mineralization alteration information extraction based on PCA， Multilevel Segment Method， and SVM. National Remote Sensing Bulletin， 25(2)：653-664 DOI： 10.11834/jrs.20219091http://dx.doi.org/10.11834/jrs.20219091.
唐淑兰，曹建农，王凯.2021.结合PCA、多尺度分割及SVM的ASTER遥感蚀变信息提取.遥感学报，25(2)： 653-664 DOI： 10.11834/jrs.20219091http://dx.doi.org/10.11834/jrs.20219091
Wang B, Chen L Y, Wang H, Ren G L, Wu Y F, Huang Z Y, and Fu W W. 2011. Ore prospecting for the Taxkorgan area of west Kunlun using quantitative extraction of mineralized alteration information. Geotectonica et Metallogenia, 35(3): 372-377
王彪, 陈利燕, 王核, 任广利, 吴玉峰, 黄朝阳, 付王伟. 2011. 遥感蚀变信息定量提取方法在成矿预测中的应用——以西昆仑塔什库尔干地区为例. 大地构造与成矿学, 35(3): 372-377 [DOI: 10.16539/j.ddgzyckx.2011.03.006http://dx.doi.org/10.16539/j.ddgzyckx.2011.03.006]
Wang J H, Wu D, Zhang J L and Guo B J. 2020. Identification and new discovery of Qiansxuilan fault belt in Gaudeanmus area, Namibia based on the multi-source remote sensing data. Bulletin of Geological Science and Technology, 39(5): 183-190
王俊虎, 武鼎, 张杰林, 郭帮杰. 2020. 基于多源遥感数据的纳米比亚欢乐谷地区千岁兰断裂带识别及新发现. 地质科技通报, 39(5): 183-190 [DOI: 10.19509/j.cnki.dzkq.2020.0630http://dx.doi.org/10.19509/j.cnki.dzkq.2020.0630]
Wang J H and Zhang J L. 2012. Silicification information extraction of Taoshan uranium ore field based on the aster thermal infrared data//Proceedings of the National Symposium on the Construction of Uranium Mining Bases (Volume 2). Haikou: Chinese Nuclear Society: 257-265.
王俊虎, 张杰林. 2012. 基于ASTER热红外数据的桃山铀矿田硅化信息提取//全国铀矿大基地建设学术研讨会论文集 (下). 海口: 中国核学会: 257-265
Wang J H, Zhang J L and Zhang J B. 2010. SiO2 content retrieving and metallogenic factors identification of a granite-type uranium ore-field based on thermal infrared data. Journal of Geo-Information Science, 12(1): 126-132
王俊虎, 张杰林, 张静波. 2010. 基于热红外数据的花岗岩铀矿田地表SiO2含量反演及其铀成矿要素识别. 地球信息科学学报, 12(1): 126-132
Wang Z G, Wang X J and Hu S L. 2008. Role of silicified alteration belt in ore forming process of Hexi gold deposit. Metal Mine, 5: 86-88, 92
王自国, 王秀娟, 胡世利. 2008. 浅析硅化蚀变带在河西金矿成矿过程中的作用. 金属矿山, (5): 86-88, 92 [DOI: 10.3321/j.issn:1001-1250.2008.05.024http://dx.doi.org/10.3321/j.issn:1001-1250.2008.05.024]
Wu L X. 2003. An arithmetic RS image fusion method for spectral preservation: high pass filter fusion. Remote Sensing for Land and Resources, (4): 26-29.
吴连喜. 2003. 一种保持光谱特征的图像融合方法——高通滤波融合法. 国土资源遥感, (4): 26-29 [DOI: 10.3969/j.issn.1001-070X.2003.04.007http://dx.doi.org/10.3969/j.issn.1001-070X.2003.04.007]
Yan B K. 2006. Study on Mechanism of Spectrums of Rocks and Minerals and Information Extraction Method in Thermal Remote Sensing Geology. Beijing: China University of Geosciences, Beijing
闫柏琨. 2006. 热红外遥感岩矿波谱机理及信息提取技术方法研究.北京: 中国地质大学(北京)
Yang C B, Zhu Q, Jiang Q G and Liu B. 2009. Silicon dioxide content of surface rock quantify inversion and retrieval by thermal infrared ASTER data. Geology and Exploration, 45(6): 692-696
杨长保, 朱群, 姜琦刚, 刘斌. 2009. ASTER热红外遥感地表岩石的二氧化硅含量定量反演. 地质与勘探, 45(6): 692-696
Yu D Z. 2012. The geological characteristics and genetic analyses of north deposit in Guangdong northeast Renchai basin. Sichuan Building Materials, 38(6): 243-245
余端珍. 2012. 粤东北仁差盆地北部某矿床地质特征及矿床成因分析. 四川建材, 38(6): 243-245
Zhang B, Zhou J and Wang J N. 2008. Analyses of alteration mineral mapping and mineral resources prospecting using TM or ETM data. Journal of Earth Sciences and Environment, 30(3): 254-259
张兵, 周军, 王军年. 2008. 遥感蚀变矿物填图与找矿方法. 地球科学与环境学报, 30(3): 254-259 [DOI: 10.3969/j.issn.1672-6561.2008.03.005http://dx.doi.org/10.3969/j.issn.1672-6561.2008.03.005]
Zhang F K, Xing L X, Han T T, Wang S Z and Liang M. 2016. Relationship between main fault and land surface temperature field of Changbai Mountain area. Global Geology, 35(1): 153-162
张福坤, 邢立新, 韩婷婷, 王守志, 梁敏. 2016. 长白山地区主要断裂带与地表温度场关系研究. 世界地质, 35(1): 153-162 [DOI: 10.3969/j.issn.1004-5589.2016.01.015http://dx.doi.org/10.3969/j.issn.1004-5589.2016.01.015]
Zhang T B, Tang J X and Huang D F. 2009. The model of alteration information extraction with TM/ETM+ remote sensing image. Remote Sensing Information, (2): 47-51
张廷斌, 唐菊兴, 黄丁发. 2009. 矿化蚀变信息提取的TM/ETM+遥感影像模式. 遥感信息, (2): 47-51 [DOI: 10.3969/j.issn.1000-3177.2009.02.009http://dx.doi.org/10.3969/j.issn.1000-3177.2009.02.009]
Zhen M and Wang S P. 2019. An adaptive weighted average fusion method for visible and infrared images. Infrared Technology, 41(4): 341-346
甄媚, 王书朋. 2019. 可见光与红外图像自适应加权平均融合方法. 红外技术, 41(4): 341-346
Zhou D, Zhang Z F, Long F and Luo C. 2013. Mapping buried faults using the temperature-vegetation-dryness index with an application in Yangla copper Mining area, Yunnan. Earth Science——Journal of China University of Geosciences, 38(2): 423-430
周丹, 张振飞, 龙斐, 罗成. 2013. 用温度植被干旱指数(TVDI)识别隐伏断层: 以云南羊拉铜矿区为例. 地球科学——中国地质大学学报, 38(2): 423-430 [DOI: 10.3799/dqkx.2013.042http://dx.doi.org/10.3799/dqkx.2013.042]
Zhou G S. 2017. Discussion on the relationship between CO2 gas and uranium Polymetallic mineralization in Rencha Basin, Pingyuan county, Guangdong province. Western Resources, (3): 46-48
邹观石. 2017. 广东省平远县仁差盆地CO2气与铀多金属成矿关系探讨. 西部资源, (3): 46-48 [DOI: 10.3969/j.issn.1672-562X.2017.03.021http://dx.doi.org/10.3969/j.issn.1672-562X.2017.03.021]
相关作者
相关机构
京公网安备11010802024621