2 papers
cs.CV2025
A Multi-Source Data Fusion-based Semantic Segmentation Model for Relic Landslide Detection
Yiming Zhou, Yuexing Peng, Daqing Ge +2
As a natural disaster, landslide often brings tremendous losses to human lives, so it urgently demands reliable detection of landslide risks. When detecting relic landslides that p…
cs.CV2024
MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic Segmentation Network For Relic Landslide Detection
Juefei He, Yuexing Peng, Wei Li +3
Relic landslide, formed over a long period, possess the potential for reactivation, making them a hazardous geological phenomenon. While reliable relic landslide detection benefits…