首页> 外文会议>Proceedings of Fringe 2015 Workshop >EXTRACTION OF SUBSURFACE FEATURES FROM INSAR-DERIVED DIGITAL ELEVATION MODELS
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EXTRACTION OF SUBSURFACE FEATURES FROM INSAR-DERIVED DIGITAL ELEVATION MODELS

机译:从InSAR衍生的数字高程模型中提取表面特征

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摘要

Microwave remote sensing has the potential to be arnbeneficial tool to detect and analyse subsurface featuresrnin desert areas due to its penetration ability overrnhyperarid regions with extremely low loss and low bulkrnhumidity. Global Digital Elevation Models (DEMs) ofrnresolution up to 30 m are now publicly available, somernof which show subsurface features over these hyperaridrnareas. This study compares different elevations detectedrnby different EO microwave and lidar profilers andrndemonstrates their effectiveness in terms of extractionrnof subsurface features compared with that delineated inrnALOS/PALSAR polarisation map. Results show thatrnSRTM-C DEM agrees closely with ICESat elevationsrnand that SRTM-C DEM clearly show paleoriverrnfeatures, some of which can’t be observed inrnALOS/PALSAR images affected by backgroundrnbackscatter. However, craterlike features are morernrecognisable in ALOS/PALSAR images compared withrnSRTM-C DEM.
机译:微波遥感具有穿透能力强,损耗低,体积湿度低的高海拔地区,因此有可能成为沙漠地区探测和分析地下特征的有益工具。分辨率高达30 m的全球数字高程模型(DEM)现在已公开可用,其中一些显示了这些超蛛网膜下的地下特征。这项研究比较了由不同的EO微波和激光雷达轮廓仪检测到的不同高度,并证明了它们与地下inLOS / PALSAR极化图相比在提取地下特征方面的有效性。结果表明,SRTM-C DEM与ICESat高程高度吻合,并且SRTM-C DEM清楚地显示了古特征,其中某些在背景背向散射影响的ALOS / PALSAR图像中无法观察到。但是,与SRTM-C DEM相比,在ALOS / PALSAR图像中更容易识别出火山口状特征。

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  • 会议地点 1609-042X
  • 作者

    Siting Xiong; Jan-Peter Muller;

  • 作者单位

    Imaging Group, Mullard Space Science Laboratory (MSSL), University College London, Department of Space Climate Physics, Holmbury St Mary, Surrey, RH5 6NT, UK;

    Imaging Group, Mullard Space Science Laboratory (MSSL), University College London, Department of Space Climate Physics, Holmbury St Mary, Surrey, RH5 6NT, UK, Email: j.muller@ucl.ac.uk;

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