Landslide Inventory Mapping From Bitemporal Images Using Deep Convolutional Neural Networks

IEEE Geoscience and Remote Sensing Letters, no. 6 (2019): 982-986

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Abstract:

Most of the approaches used for Landslide inventory mapping (LIM) rely on traditional feature extraction and unsupervised classification algorithms. However, it is difficult to use these approaches to detect landslide areas because of the complexity and spatial uncertainty of landslides. In this letter, we propose a novel approach based o...More

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