An end-to-end deep learning image compression method for satellite images based on entropy model.
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| Title: | An end-to-end deep learning image compression method for satellite images based on entropy model. |
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| Authors: | Gao Y; Sichuan Expressway Construction and Development Group Co., Ltd, Chengdu, Sichuan, China., Xu H; Sichuan Expressway Construction and Development Group Co., Ltd, Chengdu, Sichuan, China., Huang W; Sichuan Expressway Construction and Development Group Co., Ltd, Chengdu, Sichuan, China., Bai H; Sichuan Expressway Construction and Development Group Co., Ltd, Chengdu, Sichuan, China., Peng B; Sichuan Panyan Expressway Construction and Development Co., Ltd, Chengdu, Sichuan, China., Xu H; School of Information Engineering, Yancheng Institute of Technology, Yancheng, Jiangsu, China. |
| Source: | PloS one [PLoS One] 2026 Aug 03; Vol. 21 (8), pp. e0355234. Date of Electronic Publication: 2026 Aug 03 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0355234 |
