End-to-End Detail-Enhanced Dehazing Network for Remote Sensing Images

End-to-End Detail-Enhanced Dehazing Network for Remote Sensing Images

Space probes are always obstructed by floating objects in the atmosphere (clouds, haze, rain, etc.) during imaging, resulting in the loss of a significant amount of detailed information in remote sensing images and severely reducing the quality of the remote sensing images. To address the problem of...

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Bibliographic Details
Main Authors: Weida Dong, Chunyan Wang, Hao Sun, Yunjie Teng, Huan Liu, Yue Zhang, Kailin Zhang, Xiaoyan Li, Xiping Xu
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Remote Sensing
Subjects:
remote sensing image
haze removal
normalization
attention mechanism
convolutional neural network
Online Access:https://www.mdpi.com/2072-4292/16/2/225

Internet

https://www.mdpi.com/2072-4292/16/2/225

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