A Texture-Enhanced Deep Learning Network for Cloud Detection of GaoFen/WFV by Integrating an Object-Oriented Dynamic Threshold Labeling Method and Texture-Feature-Enhanced Attention Module

A Texture-Enhanced Deep Learning Network for Cloud Detection of GaoFen/WFV by Integrating an Object-Oriented Dynamic Threshold Labeling Method and Texture-Feature-Enhanced Attention Module

Cloud detection in satellite imagery plays a pivotal role in achieving high-accuracy retrieval of biophysical parameters and subsequent remote sensing applications. Although numerous methods have been developed and operationally deployed, their accuracy over challenging surfaces—such as snow-covered...

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Bibliographic Details
Main Authors: Bo Zhong, Xiao Tang, Xiaobo Luo, Shanlong Wu, Kai Ao
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Remote Sensing
Subjects:
cloud detection
deep learning
object-oriented approach
dynamic thresholding
inaccurate supervision
attention mechanism
Online Access:https://www.mdpi.com/2072-4292/17/10/1677
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