A method aimed at automatic landslide extraction based on background values of satellite imagery
作者： Shuwen Yang , Yikun Li , Guangsheng Feng , Lifeng Zhang
DOI: 10.1080/01431161.2014.890760
关键词:
摘要: The vegetation and soil layers of land surfaces become damaged during landslides. When viewed in remote-sensing images, these post-landslide appear significantly different from the surrounding background. This article proposes an integrated method for calculating indices to extract background information areas that have undergone landslides by increasing spectral difference between bare other surface features, such as vegetation, shadow, settlements, waterbodies. Based on values satellite include index, brightness first component (PC1) principal transformation image, also terrain data. An automatic extraction model is proposed based improved multi-peak histogram threshold algorithm mathematical morphology filtering algorithm. Landslide extracted verified using experimental system built Enviro...
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