PALSAR数据在植被覆盖区构造信息提取中的应用
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摘要
为解决光学遥感在植被覆盖区地质构造信息难以识别提取的问题,利用具有一定穿透能力的L波段PALSAR双极化雷达数据对福建寿宁地区开展了研究。对双极化雷达图像进行了假彩色合成、滤波增强,针对HH极化通道将灰度图像变换成HSV彩色图像,突显了地质信息,并与该区ASTER多光谱影像进行了对比,分析了雷达影像优劣。结果表明PALSAR雷达构造解译结果与研究区的区域主要断裂方向基本一致,PALSAR雷达数据可以作为高效、准确的方法 ,在植被覆盖区开展遥感地质工作。
In order to solve the problems that the remote sensing technology facing in the geological structure information extraction of the vegetation-covered area, taking Fujian Shouning Area as a research area, we used L-band PALSAR dualpolarization radar data with certain penetrating power to do research. For detailed structural information, we performed the false color synthesis and filter to the data, and transformed the HH polarization channel into HSV color image. Finally, comparing with ASTER multi-spectral images in this area, we analyzed the advantages and disadvantages of PALSAR radar images. The results show that the interpretations of PALSAR radar structures are consistent with the main faults in the study area. The achievements of this investigation established the helpfulness of PALSAR data for geological structure analysis in the vegetation-covered area.
In order to solve the problems that the remote sensing technology facing in the geological structure information extraction of the vegetation-covered area, taking Fujian Shouning Area as a research area, we used L-band PALSAR dualpolarization radar data with certain penetrating power to do research. For detailed structural information, we performed the false color synthesis and filter to the data, and transformed the HH polarization channel into HSV color image. Finally, comparing with ASTER multi-spectral images in this area, we analyzed the advantages and disadvantages of PALSAR radar images. The results show that the interpretations of PALSAR radar structures are consistent with the main faults in the study area. The achievements of this investigation established the helpfulness of PALSAR data for geological structure analysis in the vegetation-covered area.
引文
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[2]赵小星.西藏桑木岗地区遥感线性构造和蚀变信息提取与找矿预测[J].现代地质,2017,31(4):851-859
[3]朱钟正,陈玉福,朱文泉,等.适用于多目标遥感自动解译的最佳专题指数筛选[J].遥感技术与应用,2017,32(3):564-574
[4]Singhroy V H.Radar Geology:Techniques and Results[J].Episodes,1992(15):15-20
[5]Kusky T M,Ramadan T M.Structural Controls on Neoproterozoic Mineralization in the South Eastern Desert,Egypt:An Integrated Field,Landsat TM,and SIR.C/X SAR Approach[J].Journal of Africa Earth Sciences,2002(35):107-121
[6]Thumound A K,Abdelsalam M G,Thumound J B.Optical Radar.DEM Remote Sensing Data Integration for Geological Mapping in the Afar Depression,Ethiopia[J].Journal of African Earth Sciences,2006(44):11-134
[7]Zandbergen P.Applications of Shuttle Radar Topography Mission Elevation Data[J].Geography Compass,2008(2):1 404-1 431
[8]Pettinato S,Santi E,Paloscia S,et al.The Intercomparison of X-Band SAR Image from Cosmo SkyMed and TerraSARX Satellites:Case Studies[J].Remote Sensing,2013(5):2 928-2 942
[9]张志军,潘思远,李明,等.北巴颜喀拉山地区岩性遥感解译标志建立[J].国土资源遥感,2017,29(1):199-207
[10]李先瑞,侯鹏辉,李根军,等.基于高分遥感解译的成矿地质环境分析--以克勒青河谷地区中东部为例[J].科学技术与工程,2013,13(23):6 810-6 814
[11]何雅枫,何政伟,赵银兵,等.地质构造与遥感蚀变的相关性分析[J].地理空间信息,2015(2):91-93
[12]谭衢霖,邵芸.成像雷达(SAR)遥感地质应用综述[J].地质找矿论丛,2003,18(1):59-65
[13]Mccauley J F,Schaber G G,Breed C S,et al.Subsurface Valleys and Geoarcheology of the Eastern Sahara Revealed by Shuttle Radar[J].Science,1982,218(4 576):1 004
[14]王心源,郭华东,邵芸,等.航天飞机SIR.C数据对内蒙古额济纳旗北部浅层地下水的探测分析[J].遥感学报,2002,6(6):523-527
[15]Beiranvand Pour A,Hashim M.Geolgical Structure Mapping of the Bentong.Raub Suture Zone,Peninsular Malaysia Using Palsar Remote Sensing Data[J].Isprs Annals of Photogrammetry Remote Sensing&Spatial Information Sciences,2015,II.2/W2:89-92
[16]Pour A B,Hashim M.Structural Mapping Using Palsar Data in the Central Gold Belt,Peninsular Malaysia[J].Ore Geology Reviews,2015,64(1):13-22
[17]马金清,徐维光.福安-南靖断裂带特征及其地质意义讨论[J].福建地质,2010,29(1):67-72
[18]刘可思.福建寿宁大安银金矿地质特征及找矿标志[J].福建地质,2012,31(3):197-205
[19]Bannari A,El.Battay A,Saquaque A,et al.0 Palsar.FBS L.HHMode and Landsat.TM Data Fusion for Geological Mapping[J].Advances in Remote Sensing,2016,5(4):246-268
[20]叶超.基于极化波穿透能力对浅覆盖区域地质信息的研究[D].吉林:吉林大学,2015
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