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发表刊物：IEEE Trans. Geoscience and Remote Sensing

项目来源：国家重点研发项目

关键字：意义分割； 高分遥感；孪生网络；滑坡识别

摘要：Landslide is one of the most dangerous and frequently occurred natural disasters. The semantic segmentation technique is efficient for wide area landslide identification from high-resolution remote sensing images (HRSIs). However, considerable challenges exist because the effects of sediments, vegetation, and human activities over long periods of time make visually blurred old landslides very challenging to detect based upon HRSIs. Moreover, for terrain features like slopes, aspect and altitude variations cannot be sufficiently extracted from 2-D HRSIs but can be from DEM data.

论文类型：期刊论文

论文编号：doi: 10.1109/TGRS.2022.3233637

学科门类：工学

一级学科：信息与通信工程*

文献类型：J

期号：61

页面范围：1-14

是否译文：否

发表时间：2023-01-03

收录刊物：SCI

发布期刊链接：https://ieeexplore.ieee.org/document/10004996