首页> 外文会议>Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International >Synthetic aperture radar for DEM generation in snow-covered mountain terrain
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Synthetic aperture radar for DEM generation in snow-covered mountain terrain

机译:在积雪覆盖的山地中生成DEM的合成孔径雷达

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Digital elevation model (DEM) generation has mainly been based on optical imagery and photogrammetric techniques. However, in recent years there has been a growing interest in the use of synthetic aperture radar (SAR) for this purpose. It is mainly two techniques that are used, SAR interferometry and stereoSAR. We have studied the influence of the snow cover on the accuracy of SAR derived DEMs. Three different Interferometric ERS1/2 tandem acquisitions are investigated, a dry-snow case, a wet-snow case and a no-snow case. It is found that with wet-snow the InSAR DEM has lowest accuracy. The dry-snow DEM is less accurate than the no-snow DEM, even though the coherence Is higher. This is explained by a redistribution of dry snow that can degrade the accuracy of interferometric DEM but still maintain high coherence. Six different Radamat s2-s7 stereo pair combinations covering dry-snow/dry-snow, wet-snowtwet-snow, partly-snow/partly-snow, no-snowo-snow, dry-snowo-snow and wet-snowo-snow situations are considered. With stereoSAR It is observed that the type of snow cover has no significant Influence on the DEM accuracy. This is even the case for dry-snowo-snow and wet-snowo-snow stereopairs, even though these DEMs are less accurate than those originating from data with the same snow cover.
机译:数字高程模型(DEM)生成主要基于光学图像和摄影测量技术。然而,近年来,对于为此目的使用合成孔径雷达(SAR)的兴趣日益增长。主要使用两种技术,SAR干涉测量法和stereoSAR。我们已经研究了积雪对SAR衍生DEM准确性的影响。研究了三种不同的ERS1 / 2串联干涉仪采集方法,分别是干雪情况,湿雪情况和无雪情况。发现在湿雪中,InSAR DEM的精度最低。即使相干性较高,干雪DEM的准确性也比无雪DEM差。这可以通过干雪的重新分布来解释,该干燥雪可以降低干涉DEM的准确性,但仍保持较高的相干性。六种不同的Radamat s2-s7立体声对组合,包括干雪/干雪,湿雪推雪,部分雪/部分雪,无雪/无雪,干雪/无雪和湿雪考虑下雪/无雪情况。使用stereoSAR可以观察到,积雪的类型对DEM精度没有显着影响。即使对于干雪/无雪和湿雪/无雪立体对,情况也是如此,即使这些DEM的准确性低于源自具有相同积雪的数据的DEM。

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