Detection of Slope Failures Including Shadow Area Using High Resolution Satellite Images
Detection of Slope Failures Including Shadow Area Using High Resolution Satellite Images
复制标题
使用高分辨率卫星图像检测包括阴影区域在内的斜坡破坏
DOI：
10.4287/jsprs.41.5_20
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发表时间：
2002
期刊：
影响因子：
--
通讯作者：
Y. Tsujiko
中科院分区：
文献类型：
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作者：
M. Kawamura;K. Tsujino;Y. Tsujiko
在日本陡峭的山坡上，大多数情况下，边坡破坏都延伸到阳光区和阴影区。为了评估实际灾害，必须进行准确可靠的检测。因此，检测必须能够估计阴影中的故障。在这项研究中，提出了一种基于区域生长算法的高分辨率卫星图像边坡破坏检测。在阳光充足的地区检测到故障后，计算出故障的大小和形态。该方法被应用于检测暴雨诱发的边坡破坏的上游的八哈吉河引发的东海强降雨，2000年。主要结论如下：（1）采用阈值法可以准确地检测出大部分滑动故障。(2)阴影地形处理对沿着沟泥石流溃决的检测是有效的，提高了检测精度。
In most case of steep mountainside in Japan, slope failures are extending both sunny area and shadow area. To assess the actual disaster, accurate and reliable detection has to be required. Therefore the detection has to be able to estimate failures in the shade. In this study, a slope failure detector based on region growing algorithm is proposed for high-resolution satellite images. It calculates the magnitude and the morphology after the detection of failures in sunny area. The method was applied to detection of heavy rainfall induced slope failures in the upstream of the Yahagi River triggered by the Tokai Heavy rainfall, 2000. The conclusion is shown as follows:(1) Most of sliding failures can be detected precisely using a threshold value.(2) The shaded relief processing was effective to detect the debris flow failure along a valley, and the accuracy was improved.