{"title":"基于 CCSDS-123 标准的贝叶滤波图像压缩：为立方体卫星量身定制的方法","authors":"El habib BENSIKADDOUR, Youcef BENTOUTOU","doi":"10.1016/j.rio.2024.100729","DOIUrl":null,"url":null,"abstract":"<div><p>CubeSats, popular for enabling affordable-access to various space missions, face challenges related to their limited resources. Image compression combined with Bayer filtering, could be a potential key to maximize the efficiency of CubeSats’ limited resources. This paper aims to customize the CCSDS-123 recommendation for lossless compression of Bayer-filtered images onboard CubeSats, with emphasis on simplicity and efficiency. The results obtained with images obtained from the Alsat-1 N CubeSat demonstrate the feasibility and satisfactory performance of the proposed approach.</p></div>","PeriodicalId":21151,"journal":{"name":"Results in Optics","volume":"16 ","pages":"Article 100729"},"PeriodicalIF":3.0000,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666950124001263/pdfft?md5=be9e00761637a4a4d36b5157ebad1139&pid=1-s2.0-S2666950124001263-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Bayer-filtered image compression based on CCSDS-123 standard: A tailored approach for CubeSats\",\"authors\":\"El habib BENSIKADDOUR, Youcef BENTOUTOU\",\"doi\":\"10.1016/j.rio.2024.100729\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>CubeSats, popular for enabling affordable-access to various space missions, face challenges related to their limited resources. Image compression combined with Bayer filtering, could be a potential key to maximize the efficiency of CubeSats’ limited resources. This paper aims to customize the CCSDS-123 recommendation for lossless compression of Bayer-filtered images onboard CubeSats, with emphasis on simplicity and efficiency. The results obtained with images obtained from the Alsat-1 N CubeSat demonstrate the feasibility and satisfactory performance of the proposed approach.</p></div>\",\"PeriodicalId\":21151,\"journal\":{\"name\":\"Results in Optics\",\"volume\":\"16 \",\"pages\":\"Article 100729\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2024-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2666950124001263/pdfft?md5=be9e00761637a4a4d36b5157ebad1139&pid=1-s2.0-S2666950124001263-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Results in Optics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2666950124001263\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/7/20 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"Physics and Astronomy\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Results in Optics","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666950124001263","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/7/20 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"Physics and Astronomy","Score":null,"Total":0}
引用次数: 0
摘要
立方体卫星因其资源有限而面临挑战。图像压缩与贝叶滤波相结合，可能是最大限度地利用立方体卫星有限资源的关键。本文旨在对 CCSDS-123 建议进行定制，以便在立方体卫星上对贝叶滤波图像进行无损压缩，重点是简单和高效。利用从 Alsat-1 N 立方体卫星获得的图像得出的结果证明了所建议方法的可行性和令人满意的性能。
Bayer-filtered image compression based on CCSDS-123 standard: A tailored approach for CubeSats
CubeSats, popular for enabling affordable-access to various space missions, face challenges related to their limited resources. Image compression combined with Bayer filtering, could be a potential key to maximize the efficiency of CubeSats’ limited resources. This paper aims to customize the CCSDS-123 recommendation for lossless compression of Bayer-filtered images onboard CubeSats, with emphasis on simplicity and efficiency. The results obtained with images obtained from the Alsat-1 N CubeSat demonstrate the feasibility and satisfactory performance of the proposed approach.
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