Find in Library

With the improvement of remote sensing image technology, researchers pay more and more attention to detecting landslides in optical remote sensing images. In this paper, the landslide is detected by semantic segmentation model based on deep learning, U-shaped network is used to enhance the extraction ability of landslide features, and the model pays more attention to landslide area through attention mechanism, so as to make the model detect landslide more accurately. Through experiments on the Bijie Landslide Dataset, the values of OA and mIoU in this model are increased by 1% and 16% respectively. The boundary of landslide is more straightforward and more accurate.