基于SPOT5影像的雨致浅层滑坡裸地提取方法

Shuwen Yang, Yikun Li, Guangsheng Feng, Tao Liu, Zhihua Zhang, Lifeng Zhang
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引用次数: 1

摘要

针对植被受损较为严重的影像特征、遥感地质特征及机理,提出了基于遥感影像背景值的植被指数、土壤亮度指数、主成分变换PC1和地形数据等能够反映滑坡崩塌背景信息的遥感指标。同时,提出了遥感指数的综合计算方法,可以有效地增加裸地与植被、地形阴影、河流等地物的光谱差异。裸地灰度值在图像中最低,因此基于阈值自动选择算法获取分割值,准确提取裸地多边形。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bare land extraction method of rain-induced shallow landslides based on SPOT5 images
For the image characteristics of more serious damage to vegetation, geological characteristics and mechanism of remote sensing, the paper put forward some remote sensing indices based on background value of remote sensing images, such as vegetation index, soil brightness index, PC1 of principal components transformation and terrain data, which could reflect background information of landslides and collapses. Meanwhile, integrated calculation method of remote sensing index was proposed, which could effectively increase spectral differences of bare land with vegetation, terrain shadows, rivers and other surface features. Gray value of bare land was the lowest in the image so as to obtain segmenting value to accurately extract polygons of bare land based on automatic selection algorithm of threshold.
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