Comparative Evaluation of State-of-the-Art Semantic Segmentation Networks for Long-Term Landslide Map Production

Comparative Evaluation of State-of-the-Art Semantic Segmentation Networks for Long-Term Landslide Map Production

The production of long-term landslide maps (LAM) holds crucial importance in estimating landslide activity, vegetation disturbance, and regional stability. However, the availability of LAMs remains limited in many regions, despite the application of various machine-learning methods, deep-learning (D...

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Bibliographic Details
Main Authors: Zekun Hu, Bangjin Yi, Hui Li, Cheng Zhong, Peng Gao, Jiaoqi Chen, Qianxiang Yao, Haojia Guo
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Sensors
Subjects:
landslide inventory
machine learning
deep learning
transfer learning
U-Net3+
Online Access:https://www.mdpi.com/1424-8220/23/22/9041

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