{"id":"https://openalex.org/W4414540039","doi":"https://doi.org/10.1109/icc52391.2025.11160867","title":"Multi-Task Driven Semantic Communication for Satellite Imagery","display_name":"Multi-Task Driven Semantic Communication for Satellite Imagery","publication_year":2025,"publication_date":"2025-06-08","ids":{"openalex":"https://openalex.org/W4414540039","doi":"https://doi.org/10.1109/icc52391.2025.11160867"},"language":"en","primary_location":{"id":"doi:10.1109/icc52391.2025.11160867","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc52391.2025.11160867","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2025 - IEEE International Conference on Communications","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100385429","display_name":"Yuhan Zhang","orcid":"https://orcid.org/0009-0001-0686-3865"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhan Zhang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,Beijing,China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019682415","display_name":"Bingxuan Xu","orcid":"https://orcid.org/0000-0003-0921-899X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingxuan Xu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,Beijing,China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059295869","display_name":"Shujun Han","orcid":"https://orcid.org/0000-0002-6257-7732"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shujun Han","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,Beijing,China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061030501","display_name":"Xiaodong Xu","orcid":"https://orcid.org/0000-0003-4245-5989"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaodong Xu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,Beijing,China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2460","last_page":"2465"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.9621999859809875,"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"}},"topics":[{"id":"https://openalex.org/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.9621999859809875,"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"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9196000099182129,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9178000092506409,"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/preprocessor","display_name":"Preprocessor","score":0.6345999836921692},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5918999910354614},{"id":"https://openalex.org/keywords/satellite-imagery","display_name":"Satellite imagery","score":0.5360000133514404},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.5121999979019165},{"id":"https://openalex.org/keywords/communications-satellite","display_name":"Communications satellite","score":0.5023999810218811},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.4848000109195709},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.48179998993873596},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.3765000104904175}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8123000264167786},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6345999836921692},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5918999910354614},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.5360000133514404},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5121999979019165},{"id":"https://openalex.org/C121308736","wikidata":"https://www.wikidata.org/wiki/Q149918","display_name":"Communications satellite","level":3,"score":0.5023999810218811},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.4848000109195709},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.48179998993873596},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4731999933719635},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.3765000104904175},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.3709999918937683},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.36910000443458557},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.35839998722076416},{"id":"https://openalex.org/C101765175","wikidata":"https://www.wikidata.org/wiki/Q577764","display_name":"Communications system","level":2,"score":0.34450000524520874},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.33959999680519104},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3296000063419342},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.32249999046325684},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.30640000104904175},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.3028999865055084},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.2976999878883362},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.2759000062942505},{"id":"https://openalex.org/C557945733","wikidata":"https://www.wikidata.org/wiki/Q389772","display_name":"Data transmission","level":2,"score":0.26969999074935913},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.2639000117778778}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc52391.2025.11160867","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc52391.2025.11160867","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2025 - IEEE International Conference on Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3787336175","display_name":null,"funder_award_id":"L242012,L232051","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G5231788624","display_name":null,"funder_award_id":"2020YFB1806905","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5643818590","display_name":null,"funder_award_id":"62201079,62401074","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/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"In":[0,48],"the":[1,6,20,23,34,41,52,88,116,122,144,165,178,184],"space-air-ground":[2],"integrated":[3],"networks":[4],"of":[5,36,45,54,95,148,181],"sixth":[7],"generation":[8],"(6":[9],"G)":[10],"systems,":[11],"many":[12],"satellite":[13,21,80,149],"imagery":[14,81,150],"need":[15],"to":[16,22],"be":[17,109,152],"transmitted":[18],"from":[19],"ground":[24],"with":[25,133],"high":[26],"resolution":[27],"for":[28,57,79,121,157],"further":[29],"processing.":[30],"However,":[31],"it":[32],"faces":[33],"challenges":[35],"limited":[37,61,89],"available":[38],"bandwidth":[39,62],"and":[40,63,72,114,139,154,175],"poor":[42],"channel":[43],"conditions":[44],"satellite-to-ground":[46],"links.":[47],"this":[49],"paper,":[50],"leveraging":[51],"benefits":[53],"semantic":[55,112,130,146],"communication":[56,131],"efficient":[58],"transmission":[59,82],"under":[60,189],"low":[64,190],"signal-to-noise":[65],"ratio":[66],"(SNR)":[67],"conditions,":[68],"a":[69,93,127,134],"joint":[70,136],"Preprocessing":[71],"Multi-task":[73],"driven":[74,129],"Semantic":[75],"Communication":[76],"(PMSC)":[77],"system":[78,132,168],"is":[83],"proposed.":[84],"To":[85],"efficiently":[86],"use":[87],"bandwidth,":[90],"we":[91,125],"propose":[92],"region":[94],"interest":[96,182],"(ROI)":[97],"based":[98],"preprocessing":[99],"method,":[100],"which":[101],"focuses":[102],"on":[103],"only":[104],"relevant":[105],"regions":[106,180],"that":[107,118,164],"will":[108],"encoded":[110],"into":[111],"information,":[113],"processes":[115],"ROIs":[117],"are":[119],"pivotal":[120],"tasks.":[123],"Moreover,":[124],"formulate":[126],"multi-task":[128],"universal":[135],"semantic-channel":[137],"encoder":[138],"distinct":[140],"decoding":[141],"processes,":[142],"making":[143],"received":[145],"features":[147],"can":[151],"accurately":[153],"effectively":[155],"utilized":[156],"different":[158],"applications.":[159],"The":[160],"simulation":[161],"results":[162],"demonstrate":[163],"proposed":[166],"PMSC":[167],"has":[169],"better":[170],"performance":[171],"in":[172,177],"enhancing":[173],"reconstruction":[174],"classification":[176],"target":[179],"at":[183],"same":[185],"compression":[186],"ratio,":[187],"especially":[188],"SNR":[191],"conditions.":[192]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
