SAR Image Compression Based on Multi-Resblock and Global Context-Reference-Cited by-同舟云学术

SAR Image Compression Based on Multi-Resblock and Global Context

Published:2023 Issue: Volume:20 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Fu Chuan¹^ORCID,Du Bo²^ORCID,Zhang Liangpei¹^ORCID

Affiliation:

1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China

2. National Engineering Research Center for Multimedia Software, School of Computer Science, Institute of Artificial Intelligence, and the Hubei Key Laboratory of Multimedia and Network Communication Engineering, Wuhan University, Wuhan, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Science and Technology Major Project of Hubei Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Link

http://xplorestaging.ieee.org/ielx7/8859/10034981/10040649.pdf?arnumber=10040649

Reference21 articles.

1. Enhanced Invertible Encoding for Learned Image Compression

2. Learned Image Compression With Discretized Gaussian Mixture Likelihoods and Attention Modules

3. Coarse-to-Fine Hyper-Prior Modeling for Learned Image Compression

4. Synthetic aperture radar image compression based on a variational autoencoder;xu;IEEE Geosci Remote Sens Lett,2021

5. The JPEG still picture compression standard

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