A Remote Sensing Image Dehazing Method Based on Heterogeneous Priors-Reference-Cited by-同舟云学术

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A Remote Sensing Image Dehazing Method Based on Heterogeneous Priors

Published:2024 Issue: Volume:62 Page:1-13
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Liang Shan¹^ORCID,Gao Tao²^ORCID,Chen Ting¹^ORCID,Cheng Peng³^ORCID

Affiliation:

1. Department of Information Engineering, Chang’an University, Xi’an, China

2. School of Big Data and Artificial Intelligence, School of Information Engineering, Chang'an University, Xi’an, China

3. Department of Computer Science and Information Technology, La Trobe University, Melbourne, VIC, Australia

Funder

National Key Research and Devolpment Program of China

Shaanxi International S&T Cooperation Program Project

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10476500.pdf?arnumber=10476500

Reference48 articles.

1. Encoder-Free Multiaxis Physics-Aware Fusion Network for Remote Sensing Image Dehazing

2. Feature-Driven Active Learning for Hyperspectral Image Classification

3. Lightweight Multiresolution Feature Fusion Network for Spectral Super-Resolution

4. A Task-Balanced Multiscale Adaptive Fusion Network for Object Detection in Remote Sensing Images

5. Attention-Free Global Multiscale Fusion Network for Remote Sensing Object Detection

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