Lossy compression of noisy remote sensing images with prediction of optimal operation point existence and parameters-Reference-Cited by-同舟云学术

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Lossy compression of noisy remote sensing images with prediction of optimal operation point existence and parameters

Published:2015-08-11 Issue:1 Volume:9 Page:095066
ISSN:1931-3195
Container-title:Journal of Applied Remote Sensing
language:en
Short-container-title:J. Appl. Remote Sens

Author:

Zemliachenko Alexander N.¹,Abramov Sergey K.¹,Lukin Vladimir V.¹,Vozel Benoit²,Chehdi Kacem²

Affiliation:

1. National Aerospace University, Kharkov 61070, Ukraine

2. University of Rennes 1, IETR UMR CNRS 6164, Lannion Cedex 22305, France

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Earth and Planetary Sciences

Cited by 16 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Lossy Compression of Single-channel Noisy Images by Modern Coders;Remote Sensing;2024-06-10

2. Intelligent visually lossless compression of dental images;Advanced Optical Technologies;2024-02-23

3. BPG-Based Lossy Compression of Three-Channel Noisy Images with Prediction of Optimal Operation Existence and Its Parameters;Remote Sensing;2023-03-20

4. BPG-Based Automatic Lossy Compression of Noisy Images with the Prediction of an Optimal Operation Existence and Its Parameters;Applied Sciences;2022-07-27

5. Prediction of Parameters in Optimal Operation Point for BPG-based Lossy Compression of Noisy Images;Ukrainian journal of remote sensing;2022-06-27

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