A Coupled Compression Generation Network for Remote-Sensing Images at Extremely Low Bitrates
Author:
Affiliation:
1. College of Electronic and Information Engineering, Shenyang Aerospace University, Shenyang, China
Funder
Xingliao Talents Program of Liaoning Province
Liaoning Province Education Administration
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/10006360/10108029.pdf?arnumber=10108029
Reference59 articles.
1. CompressNet: Generative Compression at Extremely Low Bitrates
2. Perceptually Lossless Compression for Mastcam Multispectral Images: A Comparative Study
3. The Cityscapes Dataset for Semantic Urban Scene Understanding
4. Edge-Guided Hyperspectral Image Compression With Interactive Dual Attention
5. ESRGAN: Enhanced super-resolution generative adversarial networks;wang;Proc ECC,2018
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