D. Amblas, J. Mora, X. Rayo, A. G. Villafranca, Enrique García-Berro Montilla, M. Canals
{"title":"Real-time lossless compression of multibeam echosounder water column data","authors":"D. Amblas, J. Mora, X. Rayo, A. G. Villafranca, Enrique García-Berro Montilla, M. Canals","doi":"10.17863/CAM.7908","DOIUrl":null,"url":null,"abstract":"Multibeam echosounders can generate vast amounts of data when recording \nthe complete water column, which poses logistic, economic and technical \nchallenges. Lossy data compression can reduce data size up to one or two orders of \nmagnitude, but often at the expense of significant image distortion. Lossless compression \nratios tend to be modest and at a high computing cost. In this work we \ntest a high-performance data compression algorithm, FAPEC, initially developed \nfor Space data communications with low computing requirements. FAPEC provides \ngood compression ratios and supports tailored pre-processing stages. Here we \nshow its advantages over standard and high-end lossless compression solutions \ncurrently available, both in terms of ratios and speed.","PeriodicalId":196404,"journal":{"name":"Instrumentation viewpoint","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Instrumentation viewpoint","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17863/CAM.7908","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Multibeam echosounders can generate vast amounts of data when recording
the complete water column, which poses logistic, economic and technical
challenges. Lossy data compression can reduce data size up to one or two orders of
magnitude, but often at the expense of significant image distortion. Lossless compression
ratios tend to be modest and at a high computing cost. In this work we
test a high-performance data compression algorithm, FAPEC, initially developed
for Space data communications with low computing requirements. FAPEC provides
good compression ratios and supports tailored pre-processing stages. Here we
show its advantages over standard and high-end lossless compression solutions
currently available, both in terms of ratios and speed.