MASCAR: Multidomain Adaptive Spatial–Spectral Variable Compression Artifact Removal Network for Multispectral Remote Sensing Images-Reference-Cited by-同舟云学术

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MASCAR: Multidomain Adaptive Spatial–Spectral Variable Compression Artifact Removal Network for Multispectral Remote Sensing Images

Published:2024 Issue: Volume:62 Page:1-20
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Kim Jaemyung¹^ORCID,Kim Hyun-Ho²^ORCID,Seo Doo-Chun²^ORCID,Jeong Jae-Heon²^ORCID,Kang Jin-Ku¹^ORCID,Kim Yongwoo³^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, Inha University, Incheon, South Korea

2. Satellite Ground Station Research and Development Division, Korea Aerospace Research Institute (KARI), Daejeon, South Korea

3. Department of System Semiconductor Engineering, Sangmyung University, Cheonan, South Korea

Funder

Korea Aerospace Research Institute (KARI) through Development of Calibration and Validation of Microsatellite Constellation System

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10375317.pdf?arnumber=10375317

Reference64 articles.

1. Image Restoration for Remote Sensing: Overview and Toolbox

2. A survey on hyperspectral image restoration: from the view of low-rank tensor approximation

3. The JPEG still picture compression standard

4. Adaptive postfiltering of transform coefficients for the reduction of blocking artifacts

5. Pointwise Shape-Adaptive DCT for High-Quality Denoising and Deblocking of Grayscale and Color Images

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