Automatic Extraction of Bare Soil Land from High-Resolution Remote Sensing Images Based on Semantic Segmentation with Deep Learning

Automatic Extraction of Bare Soil Land from High-Resolution Remote Sensing Images Based on Semantic Segmentation with Deep Learning

Accurate monitoring of bare soil land (BSL) is an urgent need for environmental governance and optimal utilization of land resources. High-resolution imagery contains rich semantic information, which is beneficial for the recognition of objects on the ground. Simultaneously, it is susceptible to the...

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Bibliographic Details
Main Authors: Chen He, Yalan Liu, Dacheng Wang, Shufu Liu, Linjun Yu, Yuhuan Ren
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Remote Sensing
Subjects:
bare soil land
high-resolution remote sensing imagery
semantic segmentation
deep learning
Deeplabv3+
CBAM
Online Access:https://www.mdpi.com/2072-4292/15/6/1646

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