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EXTRACTION OF SUBSURFACE FEATURES FROM INSAR-DERIVED DIGITAL ELEVATION MODELS

机译:从Insar衍生的数字高度模型提取地下特征

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Microwave remote sensing has the potential to be a beneficial tool to detect and analyse subsurface features in desert areas due to its penetration ability over hyperarid regions with extremely low loss and low bulk humidity. Global Digital Elevation Models (DEMs) of resolution up to 30 m are now publicly available, some of which show subsurface features over these hyperarid areas. This study compares different elevations detected by different EO microwave and lidar profilers and demonstrates their effectiveness in terms of extraction of subsurface features compared with that delineated in ALOS/PALSAR polarisation map. Results show that SRTM-C DEM agrees closely with ICESat elevations and that SRTM-C DEM clearly show paleoriver features, some of which can’t be observed in ALOS/PALSAR images affected by background backscatter. However, craterlike features are more recognisable in ALOS/PALSAR images compared with SRTM-C DEM.
机译:微波遥感有可能成为一种有益的工具,可以是检测和分析沙漠地区的地下特征,这是由于其在具有极低损失和低散装湿度的过渡区域的穿透能力。全球数字高度模型(DEM)的分辨率高达30米现在可公开可用,其中一些在这些超具区域显示了地下功能。该研究比较了不同EO微波和激光雷达分布器检测到的不同升高,并在与Alos / Palsar偏振图中划定的横向划定的逐叠的地下特征的提取方面证明了它们的有效性。结果表明,SRTM-C DEM与ICESAT高度密切合作,SRTM-C DEM清楚地显示了古地区特征,其中一些在由背景反向散射的alos / palsar图像中无法观察到。然而,与SRTM-C DEM相比,Alos / Palsar图像中的速球功能更容易识别。

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