Real-Time Compressed Sensing for Joint Hyperspectral Image Transmission and Restoration for CubeSat-Reference-Cited by-同舟云学术

Real-Time Compressed Sensing for Joint Hyperspectral Image Transmission and Restoration for CubeSat

Published:2024 Issue: Volume:62 Page:1-16
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Hsu Chih-Chung¹^ORCID,Jian Chih-Yu¹,Tu Eng-Shen²^ORCID,Lee Chia-Ming¹^ORCID,Chen Guan-Lin³

Affiliation:

1. Institute of Data Science, the Department of Statistics, and the Miin Wu School of Computing, National Cheng Kung University, Tainan, Taiwan

2. Department of Computer Science, National Cheng Kung University, Tainan, Taiwan

3. Artificial Intelligence R&D Department, MobileDrive, New Taipei City, Taiwan

Funder

National Science and Technology Council (NSTC), Taiwan

Higher Education Sprout Project of the Ministry of Education (MOE) to the Headquarters of University Advancement at the National Cheng Kung University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10474407.pdf?arnumber=10474407

Reference45 articles.

1. DCSN: Deep Compressed Sensing Network for Efficient Hyperspectral Data Transmission of Miniaturized Satellite

2. Hyperspectral Image Super-Resolution via Deep Progressive Zero-Centric Residual Learning

3. Deep Blind Hyperspectral Image Fusion

4. Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution

5. Spectral unmixing

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