{"id":"https://openalex.org/W4386590117","doi":"https://doi.org/10.1109/tii.2023.3309030","title":"Task-Oriented Compression Framework for Remote Sensing Satellite Data Transmission","display_name":"Task-Oriented Compression Framework for Remote Sensing Satellite Data Transmission","publication_year":2023,"publication_date":"2023-09-11","ids":{"openalex":"https://openalex.org/W4386590117","doi":"https://doi.org/10.1109/tii.2023.3309030"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2023.3309030","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2023.3309030","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069346878","display_name":"Shao Xiang","orcid":"https://orcid.org/0000-0002-2797-1937"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shao Xiang","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-2797-1937","affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064773330","display_name":"Qiaokang Liang","orcid":"https://orcid.org/0000-0002-5504-9966"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiaokang Liang","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-5504-9966","affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031131124","display_name":"Peng Tang","orcid":"https://orcid.org/0000-0003-4099-6677"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Peng Tang","raw_affiliation_strings":["Department of informatics, Technical University of Munich, Munchen, Germany"],"raw_orcid":"https://orcid.org/0000-0003-4099-6677","affiliations":[{"raw_affiliation_string":"Department of informatics, Technical University of Munich, Munchen, Germany","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8181,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.8768508,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"20","issue":"3","first_page":"3487","last_page":"3496"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9959999918937683,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9959999918937683,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9182000160217285,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9096999764442444,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8010208606719971},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.7345756888389587},{"id":"https://openalex.org/keywords/codec","display_name":"Codec","score":0.6763654947280884},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.6388722062110901},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.5448151230812073},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.491285502910614},{"id":"https://openalex.org/keywords/compression-ratio","display_name":"Compression ratio","score":0.467408686876297},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4112117886543274},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4085044264793396},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3633536696434021},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.30339348316192627},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.27937018871307373},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12144848704338074}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8010208606719971},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.7345756888389587},{"id":"https://openalex.org/C161765866","wikidata":"https://www.wikidata.org/wiki/Q184748","display_name":"Codec","level":2,"score":0.6763654947280884},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.6388722062110901},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.5448151230812073},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.491285502910614},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.467408686876297},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4112117886543274},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4085044264793396},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3633536696434021},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.30339348316192627},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.27937018871307373},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12144848704338074},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C511840579","wikidata":"https://www.wikidata.org/wiki/Q12757","display_name":"Internal combustion engine","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2023.3309030","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2023.3309030","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1218379829","display_name":null,"funder_award_id":"2022JJ10020","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"},{"id":"https://openalex.org/G178330605","display_name":null,"funder_award_id":"62073129","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4710913493","display_name":null,"funder_award_id":"U21A20490","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2099563019","https://openalex.org/W2178928294","https://openalex.org/W2398470758","https://openalex.org/W2552465432","https://openalex.org/W2560023338","https://openalex.org/W2604392022","https://openalex.org/W2740336064","https://openalex.org/W2785562966","https://openalex.org/W2909778353","https://openalex.org/W2961958512","https://openalex.org/W2962847516","https://openalex.org/W2963149687","https://openalex.org/W2991488782","https://openalex.org/W3034469748","https://openalex.org/W3139281747","https://openalex.org/W3147173580","https://openalex.org/W3157795530","https://openalex.org/W4246399668","https://openalex.org/W4313047186","https://openalex.org/W4323567911","https://openalex.org/W4375928920","https://openalex.org/W6694251005","https://openalex.org/W6697974390","https://openalex.org/W6754634825","https://openalex.org/W6773431304","https://openalex.org/W6777046832"],"related_works":["https://openalex.org/W2973199290","https://openalex.org/W2903809284","https://openalex.org/W3210332869","https://openalex.org/W2547124190","https://openalex.org/W2751842002","https://openalex.org/W3180760233","https://openalex.org/W2096442341","https://openalex.org/W3080614128","https://openalex.org/W4210455546","https://openalex.org/W2078838509"],"abstract_inverted_index":{"High-ratio":[0],"image":[1,12,21,44,57],"compression":[2,22,45,50,125],"has":[3],"always":[4],"been":[5],"a":[6,16,35,48,67],"hotspot":[7],"for":[8,15,38],"remote":[9],"sensing":[10],"satellite":[11,123],"transmission.":[13,31],"Especially":[14],"resource-limited":[17],"environment":[18],"on":[19,109],"board,":[20],"plays":[23],"an":[24],"important":[25],"role":[26],"in":[27,52],"data":[28,124],"storage":[29],"and":[30,43],"This":[32],"article":[33],"proposes":[34],"novel":[36],"method":[37],"integrating":[39],"information":[40],"extraction":[41],"network":[42,46],"into":[47],"comprehensive":[49],"framework":[51,119],"order":[53],"to":[54,81],"achieve":[55],"high-ratio":[56],"codec.":[58],"To":[59,97],"reconstruct":[60],"region-of-interest":[61],"(ROI)":[62],"latent":[63,68],"representations,":[64],"we":[65,105],"propose":[66],"feature":[69],"selection":[70],"(LFS)":[71],"module.":[72],"Some":[73],"of":[74,85,92,102],"the":[75,82,86,89,100,117],"channel":[76,90],"representations":[77,91],"are":[78,94],"removed":[79],"according":[80],"spatial":[83],"location":[84],"background,":[87],"but":[88],"ROI":[93],"entirely":[95],"retained.":[96],"effectively":[98],"validate":[99],"performance":[101],"our":[103],"method,":[104],"conduct":[106],"extensive":[107],"experiments":[108],"multiple":[110],"datasets.":[111],"The":[112],"experimental":[113],"results":[114],"show":[115],"that":[116],"proposed":[118],"is":[120],"better":[121],"at":[122],"than":[126],"traditional":[127],"codecs.":[128]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-04T07:58:01.006859","created_date":"2025-10-10T00:00:00"}