Discrete Wavelet Transform-Based Gaussian Mixture Model for Remote Sensing Image Compression-Reference-Cited by-同舟云学术

Discrete Wavelet Transform-Based Gaussian Mixture Model for Remote Sensing Image Compression

Published:2023 Issue: Volume:61 Page:1-12
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Xiang Shao¹^ORCID,Liang Qiaokang¹^ORCID,Fang Leyuan¹^ORCID

Affiliation:

1. College of Electrical and Information Engineering, National Engineering Research Center of Robot Visual Perception and Control Technology, Hunan University, Changsha, China

Funder

Hunan Provincial Natural Science Foundation of China

National Natural Science Foundation of China

Project of the National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10120984.pdf?arnumber=10120984

Reference41 articles.

1. Causal Contextual Prediction for Learned Image Compression

2. High-order Markov random field as attention network for high-resolution remote-sensing image compression;chong;IEEE Trans Geosci Remote Sens,2021

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

4. High-fidelity generative image compression;mentzer;Proc Adv Neural Inf Process Syst,2020

5. End-to-End Optimized Image Compression With Deep Gaussian Process Regression

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