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Published in 2024 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2023.3339295
Abstract: Landslide inventory mapping (LIM) is an important prerequisite for disaster emergency rescue and landslide sensitivity analysis. It has been proven that convolutional neural networks have better performance for LIM than traditional machine learning methods such…
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Keywords:
analysis;
component analysis;
inventory mapping;
independent component ... See more keywords
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Published in 2020 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2020.3041409
Abstract: Landslide inventory mapping (LIM) plays an important role in landslide susceptibility analysis. Many LIM approaches based on change detection techniques have been proposed, but with various drawbacks. For example, existing approaches have limited capability to…
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Keywords:
high resolution;
inventory mapping;
change detection;
approach ... See more keywords