{"id":"https://openalex.org/W4387828943","doi":"https://doi.org/10.1109/igarss52108.2023.10282205","title":"Filtered Residual Compression for Satellite Images","display_name":"Filtered Residual Compression for Satellite Images","publication_year":2023,"publication_date":"2023-07-16","ids":{"openalex":"https://openalex.org/W4387828943","doi":"https://doi.org/10.1109/igarss52108.2023.10282205"},"language":"en","primary_location":{"id":"doi:10.1109/igarss52108.2023.10282205","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss52108.2023.10282205","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-04125811/document","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006898740","display_name":"Pascal Bacchus","orcid":null},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en informatique et en automatique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I4210133778","display_name":"Inria Rennes - Bretagne Atlantique Research Centre","ror":"https://ror.org/04040yw90","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210133778"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Pascal Bacchus","raw_affiliation_strings":["INRIA,Rennes,France","INRIA, Rennes, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INRIA,Rennes,France","institution_ids":["https://openalex.org/I4210133778","https://openalex.org/I1326498283"]},{"raw_affiliation_string":"INRIA, Rennes, France","institution_ids":["https://openalex.org/I4210133778","https://openalex.org/I1326498283"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037462302","display_name":"R. Fra\u00efss\u00e9","orcid":"https://orcid.org/0009-0005-4159-4276"},"institutions":[{"id":"https://openalex.org/I112991645","display_name":"Airbus (France)","ror":"https://ror.org/023qdcg29","country_code":"FR","type":"company","lineage":["https://openalex.org/I112991645","https://openalex.org/I4210121748"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Renaud Fraisse","raw_affiliation_strings":["Airbus Defence and Space,Toulouse,France","Airbus Defence and Space, Toulouse, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Airbus Defence and Space,Toulouse,France","institution_ids":["https://openalex.org/I112991645"]},{"raw_affiliation_string":"Airbus Defence and Space, Toulouse, France","institution_ids":["https://openalex.org/I112991645"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010468033","display_name":"Christine Guillemot","orcid":"https://orcid.org/0000-0003-1604-967X"},"institutions":[{"id":"https://openalex.org/I4210133778","display_name":"Inria Rennes - Bretagne Atlantique Research Centre","ror":"https://ror.org/04040yw90","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210133778"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en informatique et en automatique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Christine Guillemot","raw_affiliation_strings":["INRIA,Rennes,France","INRIA, Rennes, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INRIA,Rennes,France","institution_ids":["https://openalex.org/I4210133778","https://openalex.org/I1326498283"]},{"raw_affiliation_string":"INRIA, Rennes, France","institution_ids":["https://openalex.org/I4210133778","https://openalex.org/I1326498283"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004726647","display_name":"Aline Roumy","orcid":"https://orcid.org/0000-0002-6352-8166"},"institutions":[{"id":"https://openalex.org/I4210133778","display_name":"Inria Rennes - Bretagne Atlantique Research Centre","ror":"https://ror.org/04040yw90","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210133778"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en informatique et en automatique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Aline Roumy","raw_affiliation_strings":["INRIA,Rennes,France","INRIA, Rennes, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INRIA,Rennes,France","institution_ids":["https://openalex.org/I4210133778","https://openalex.org/I1326498283"]},{"raw_affiliation_string":"INRIA, Rennes, France","institution_ids":["https://openalex.org/I4210133778","https://openalex.org/I1326498283"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5006898740"],"corresponding_institution_ids":["https://openalex.org/I1326498283","https://openalex.org/I4210133778"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12957556,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":null,"first_page":"5131","last_page":"5134"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.8044430017471313},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7609283328056335},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.7518240213394165},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.6161063313484192},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.5772163271903992},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5701186656951904},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5577674508094788},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5569239258766174},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.5260030031204224},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4859062731266022},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.48551011085510254},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4731912612915039},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.41598808765411377},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2732502222061157},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2277297079563141},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.139670729637146},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.07292208075523376},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07041150331497192}],"concepts":[{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.8044430017471313},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7609283328056335},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7518240213394165},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.6161063313484192},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.5772163271903992},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5701186656951904},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5577674508094788},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5569239258766174},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.5260030031204224},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4859062731266022},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.48551011085510254},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4731912612915039},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.41598808765411377},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2732502222061157},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2277297079563141},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.139670729637146},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.07292208075523376},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07041150331497192},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/igarss52108.2023.10282205","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss52108.2023.10282205","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-04125811v1","is_oa":true,"landing_page_url":"https://hal.science/hal-04125811","pdf_url":"https://hal.science/hal-04125811/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://2023.ieeeigarss.org/","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-04125811v1","is_oa":true,"landing_page_url":"https://hal.science/hal-04125811","pdf_url":"https://hal.science/hal-04125811/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://2023.ieeeigarss.org/","raw_type":"Conference papers"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4387828943.pdf"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2142796063","https://openalex.org/W2552465432","https://openalex.org/W2768814045","https://openalex.org/W2785562966","https://openalex.org/W2949361041","https://openalex.org/W2962676454","https://openalex.org/W2963430933","https://openalex.org/W2964098744","https://openalex.org/W2969965779","https://openalex.org/W2985368596","https://openalex.org/W3097448661","https://openalex.org/W3098418424","https://openalex.org/W3127964924","https://openalex.org/W4206986746","https://openalex.org/W4287605633","https://openalex.org/W4304465966","https://openalex.org/W4372260589","https://openalex.org/W6637373629","https://openalex.org/W6754634825"],"related_works":["https://openalex.org/W3210332869","https://openalex.org/W2547124190","https://openalex.org/W4210785996","https://openalex.org/W4327499886","https://openalex.org/W2385628723","https://openalex.org/W1680283075","https://openalex.org/W2751842002","https://openalex.org/W3180760233","https://openalex.org/W2096442341","https://openalex.org/W4210455546"],"abstract_inverted_index":{"Learned":[0],"image":[1,11,66,88],"compression":[2,47,89],"neural":[3,39],"networks":[4],"have":[5],"difficulties":[6],"adapting":[7],"to":[8,59,67,94],"certain":[9],"satellite":[10,76],"characteristics,":[12],"especially":[13],"high":[14,20],"frequencies":[15],"that":[16],"disappear":[17],"at":[18],"a":[19,35,45,50,56],"bit-rate":[21],"in":[22,26,74],"the":[23,27,61,65,70,75],"blur":[24],"generated":[25],"reconstruction.":[28],"To":[29],"answer":[30],"this":[31],"problem":[32],"we":[33],"describe":[34],"joint":[36],"end-to-end":[37],"trainable":[38],"network.":[40,53],"It":[41],"is":[42],"separated":[43],"into":[44],"general":[46],"network":[48,58],"and":[49,91],"smaller":[51],"specialised":[52],"We":[54],"train":[55],"specialized":[57],"compress":[60],"residual":[62],"part":[63],"of":[64],"best":[68],"preserve":[69],"high-frequency":[71],"details":[72,96],"present":[73],"images.":[77],"The":[78],"proposed":[79],"model":[80],"achieves":[81],"higher":[82],"rate-distortion":[83],"performance":[84],"than":[85],"current":[86],"lossy":[87],"standards":[90],"also":[92],"manages":[93],"retrieve":[95],"previously":[97],"poorly":[98],"reconstructed.":[99]},"counts_by_year":[],"updated_date":"2026-05-07T13:39:58.223016","created_date":"2025-10-10T00:00:00"}