High-Resolution, Lightweight Remote Sensing via Harmonic Diffractive Optical Imaging Systems and Deep Denoiser Prior Image Restoration-Reference-Cited by-同舟云学术

High-Resolution, Lightweight Remote Sensing via Harmonic Diffractive Optical Imaging Systems and Deep Denoiser Prior Image Restoration

Published:2024 Issue: Volume:62 Page:1-17
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Zhong Shuo¹^ORCID,Zhao Xijun²,Liu Dun³,Su Haibing³,Xie Zongliang³^ORCID,Fan Bin³^ORCID

Affiliation:

1. National Key Laboratory of Optical Field Manipulation Science and Technology and the Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu, Sichuan, China

2. School of Electronic Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China

3. Institute of Optics and Electronics Chinese Academy of Sciences, Chengdu, Sichuan, China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10508972.pdf?arnumber=10508972

Reference71 articles.

1. Very High-Resolution Remote Sensing: Challenges and Opportunities [Point of View]

2. Classification for High Resolution Remote Sensing Imagery Using a Fully Convolutional Network

3. A Survey on Deep Learning-Based Change Detection from High-Resolution Remote Sensing Images

4. Remote Sensing Image Change Detection With Transformers

5. The Φ-Sat-1 mission: the first on-board deep neural network demonstrator for satellite earth observation

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