{"id":"https://openalex.org/W4408353413","doi":"https://doi.org/10.1109/icassp49660.2025.10890210","title":"Comprehensive Perturbation Consistency for Semi-Supervised Change Detection in Remote Sensing Images","display_name":"Comprehensive Perturbation Consistency for Semi-Supervised Change Detection in Remote Sensing Images","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408353413","doi":"https://doi.org/10.1109/icassp49660.2025.10890210"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10890210","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10890210","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-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/A5017703904","display_name":"Zan Mao","orcid":"https://orcid.org/0000-0003-3804-524X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210108629","display_name":"Computer Network Information Center","ror":"https://ror.org/01s0wyf50","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210108629"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zan Mao","raw_affiliation_strings":["Chinese Academy of Sciences,Computer Network Information Center"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Computer Network Information Center","institution_ids":["https://openalex.org/I4210108629","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100658181","display_name":"Xin Li","orcid":"https://orcid.org/0000-0002-1670-1368"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Li","raw_affiliation_strings":["PengCheng Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PengCheng Laboratory","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090964624","display_name":"Ze Luo","orcid":"https://orcid.org/0000-0002-6261-6279"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210108629","display_name":"Computer Network Information Center","ror":"https://ror.org/01s0wyf50","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210108629"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ze Luo","raw_affiliation_strings":["Chinese Academy of Sciences,Computer Network Information Center"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Computer Network Information Center","institution_ids":["https://openalex.org/I4210108629","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015473075","display_name":"Yingjuan Tang","orcid":"https://orcid.org/0000-0002-4838-7211"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingjuan Tang","raw_affiliation_strings":["Beijing Institute of Technology,National Key Laboratory of Advanced Vehicle Integration and Control"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology,National Key Laboratory of Advanced Vehicle Integration and Control","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102021513","display_name":"Dongmei Jiang","orcid":"https://orcid.org/0000-0002-2737-5537"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongmei Jiang","raw_affiliation_strings":["PengCheng Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PengCheng Laboratory","institution_ids":["https://openalex.org/I4210136793"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05615705,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9656999707221985,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9656999707221985,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9455000162124634,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"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/computer-science","display_name":"Computer science","score":0.6314953565597534},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.5867279767990112},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5662656426429749},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5152419209480286},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46301576495170593},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4299783706665039},{"id":"https://openalex.org/keywords/perturbation","display_name":"Perturbation (astronomy)","score":0.41731441020965576},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.19544333219528198},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08929267525672913}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6314953565597534},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.5867279767990112},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5662656426429749},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5152419209480286},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46301576495170593},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4299783706665039},{"id":"https://openalex.org/C177918212","wikidata":"https://www.wikidata.org/wiki/Q803623","display_name":"Perturbation (astronomy)","level":2,"score":0.41731441020965576},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.19544333219528198},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08929267525672913},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10890210","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10890210","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.800000011920929,"display_name":"Climate action"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2036798369","https://openalex.org/W2891248708","https://openalex.org/W2896092083","https://openalex.org/W2908320224","https://openalex.org/W2963073217","https://openalex.org/W2995808743","https://openalex.org/W3009942016","https://openalex.org/W3011156941","https://openalex.org/W3015038817","https://openalex.org/W3048064159","https://openalex.org/W3120467244","https://openalex.org/W3130754787","https://openalex.org/W3180045188","https://openalex.org/W4226246368","https://openalex.org/W4282553729","https://openalex.org/W4307701816","https://openalex.org/W4312549298","https://openalex.org/W4312870419","https://openalex.org/W4312893921","https://openalex.org/W4313525965","https://openalex.org/W4321488161","https://openalex.org/W4375868908","https://openalex.org/W4391305801","https://openalex.org/W4392910515","https://openalex.org/W4394595673","https://openalex.org/W6769242847","https://openalex.org/W6809890315"],"related_works":["https://openalex.org/W2568858292","https://openalex.org/W1515964938","https://openalex.org/W2389381914","https://openalex.org/W2376528221","https://openalex.org/W196800607","https://openalex.org/W2359428812","https://openalex.org/W3181296946","https://openalex.org/W2015705630","https://openalex.org/W2355368334","https://openalex.org/W2073313993"],"abstract_inverted_index":{"Currently,":[0],"many":[1],"change":[2],"detection":[3],"(CD)":[4],"methods":[5,46],"rely":[6],"on":[7,136],"supervised":[8],"learning,":[9],"which":[10,33,78],"necessitates":[11],"extensive":[12],"manually":[13],"annotated":[14],"data,":[15],"resulting":[16],"in":[17,29,107],"significant":[18],"labor":[19],"and":[20,94,111,139],"time":[21],"requirements.":[22],"Recently,":[23],"semi-supervised":[24],"(SS)":[25],"approaches":[26],"have":[27],"emerged":[28],"the":[30,50,59,83,91,129,137,144,149],"CD":[31,69],"community,":[32],"exploit":[34],"large":[35],"amounts":[36],"of":[37,58],"unlabeled":[38],"data":[39],"by":[40],"utilizing":[41],"consistency":[42,53,75,81],"regularization.":[43],"However,":[44],"these":[45],"do":[47],"not":[48],"consider":[49],"broader":[51],"perturbation":[52,74,80,120],"to":[54,82,126],"confer":[55],"better":[56],"generalization":[57],"model.":[60],"In":[61],"this":[62],"paper,":[63],"we":[64,102,115],"propose":[65,116],"a":[66,72,117],"novel":[67],"SS":[68],"framework":[70],"with":[71],"comprehensive":[73,98],"called":[76],"CPC,":[77],"extends":[79],"entire":[84],"learning":[85],"period.":[86],"Specifically,":[87],"our":[88],"CPC":[89,110],"combines":[90],"input,":[92],"feature,":[93],"network":[95],"perturbations":[96],"for":[97],"perturb":[99,131],"space.":[100,132],"And,":[101],"design":[103],"two":[104],"distinct":[105],"structures":[106],"practice,":[108],"decoupled":[109],"coupled":[112],"CPC.":[113],"Furthermore,":[114],"change-aware":[118],"input":[119,130],"that":[121,143],"introduces":[122],"expensive":[123],"annotation":[124],"information":[125],"further":[127],"expand":[128],"Extensive":[133],"experiments":[134],"conducted":[135],"WHUCD,":[138],"GZ-CD":[140],"datasets":[141],"demonstrate":[142],"proposal":[145],"performs":[146],"favorably":[147],"against":[148],"state-of-the-art":[150],"methods.":[151]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}