Sequential Forward Floating Selection with a U-Net++ proxy identifies an 8-channel subset from multi-spectral and terrain data that matches or exceeds F1 scores of full 30-channel configurations for landslide segmentation.
Landslide4Sense: Reference Benchmark Data and Deep Learning Models for Landslide Detection
2 Pith papers cite this work. Polarity classification is still indexing.
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Evaluates U-Net, DeepLabV3+, and Res-Net on Sentinel-2 multispectral and ALOS PALSAR slope/DEM data for landslide segmentation and mapping.
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Sequential Feature Selection for Efficient Landslide Segmentation from Multi-Spectral Data
Sequential Forward Floating Selection with a U-Net++ proxy identifies an 8-channel subset from multi-spectral and terrain data that matches or exceeds F1 scores of full 30-channel configurations for landslide segmentation.
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Landslide Detection and Mapping Using Deep Learning Across Multi-Source Satellite Data and Geographic Regions
Evaluates U-Net, DeepLabV3+, and Res-Net on Sentinel-2 multispectral and ALOS PALSAR slope/DEM data for landslide segmentation and mapping.