{"id":"https://openalex.org/W4414603458","doi":"https://doi.org/10.1109/tcsvt.2025.3615718","title":"Exploring Self-Image and Cross-Image Consistency Learning for Remote Sensing Burned Area Segmentation","display_name":"Exploring Self-Image and Cross-Image Consistency Learning for Remote Sensing Burned Area Segmentation","publication_year":2025,"publication_date":"2025-09-29","ids":{"openalex":"https://openalex.org/W4414603458","doi":"https://doi.org/10.1109/tcsvt.2025.3615718"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2025.3615718","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2025.3615718","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","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/A5100755464","display_name":"Heng Zhou","orcid":"https://orcid.org/0000-0003-2770-2785"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heng Zhou","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science and the International Joint Laboratory on Artificial Intelligence, Ministry of Education, Jiangnan University, Wuxi, China","School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China"],"raw_orcid":"https://orcid.org/0000-0003-2770-2785","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science and the International Joint Laboratory on Artificial Intelligence, Ministry of Education, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]},{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111910557","display_name":"Zhenxi Zhang","orcid":"https://orcid.org/0009-0009-6297-623X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenxi Zhang","raw_affiliation_strings":["School of Electronic Engineering, Xidian University, Xi’an, China"],"raw_orcid":"https://orcid.org/0009-0009-6297-623X","affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100646040","display_name":"Chengyang Li","orcid":"https://orcid.org/0000-0002-1379-1222"},"institutions":[{"id":"https://openalex.org/I204553293","display_name":"China University of Petroleum, Beijing","ror":"https://ror.org/041qf4r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I204553293"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengyang Li","raw_affiliation_strings":["College of Artificial Intelligence and Beijing Key Laboratory of Petroleum Data Mining, China University of Petroleum (Beijing), Beijing, China","College of Artificial Intelligence, China University of Petroleum (Beijing), Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1379-1222","affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence and Beijing Key Laboratory of Petroleum Data Mining, China University of Petroleum (Beijing), Beijing, China","institution_ids":["https://openalex.org/I204553293"]},{"raw_affiliation_string":"College of Artificial Intelligence, China University of Petroleum (Beijing), Beijing, China","institution_ids":["https://openalex.org/I204553293"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083602794","display_name":"Chunna Tian","orcid":"https://orcid.org/0000-0002-3217-0368"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunna Tian","raw_affiliation_strings":["School of Electronic Engineering, Xidian University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0002-3217-0368","affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102025878","display_name":"Yongqiang Xie","orcid":"https://orcid.org/0000-0002-3537-9116"},"institutions":[{"id":"https://openalex.org/I4210113342","display_name":"Systems Engineering Society of China","ror":"https://ror.org/024pse488","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210113342"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongqiang Xie","raw_affiliation_strings":["Institute of Systems Engineering, AMS, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3537-9116","affiliations":[{"raw_affiliation_string":"Institute of Systems Engineering, AMS, Beijing, China","institution_ids":["https://openalex.org/I4210113342"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101598389","display_name":"Zhongbo Li","orcid":"https://orcid.org/0000-0002-9227-6914"},"institutions":[{"id":"https://openalex.org/I4210113342","display_name":"Systems Engineering Society of China","ror":"https://ror.org/024pse488","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210113342"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongbo Li","raw_affiliation_strings":["Institute of Systems Engineering, AMS, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9227-6914","affiliations":[{"raw_affiliation_string":"Institute of Systems Engineering, AMS, Beijing, China","institution_ids":["https://openalex.org/I4210113342"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087450445","display_name":"Xiao\u2010Jun Wu","orcid":"https://orcid.org/0000-0002-0310-5778"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao-Jun Wu","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science and the International Joint Laboratory on Artificial Intelligence, Ministry of Education, Jiangnan University, Wuxi, China","School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China"],"raw_orcid":"https://orcid.org/0000-0002-0310-5778","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science and the International Joint Laboratory on Artificial Intelligence, Ministry of Education, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]},{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":0.923,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.75779455,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"36","issue":"3","first_page":"2924","last_page":"2937"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.8463000059127808,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.8463000059127808,"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.8008000254631042,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6473000049591064},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5619000196456909},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.550000011920929},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.508899986743927},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5087000131607056},{"id":"https://openalex.org/keywords/terrain","display_name":"Terrain","score":0.4632999897003174},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.41100001335144043},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.37549999356269836}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7111999988555908},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6473000049591064},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.599399983882904},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5619000196456909},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.550000011920929},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.508899986743927},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5087000131607056},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4975000023841858},{"id":"https://openalex.org/C161840515","wikidata":"https://www.wikidata.org/wiki/Q186131","display_name":"Terrain","level":2,"score":0.4632999897003174},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.41100001335144043},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.37549999356269836},{"id":"https://openalex.org/C183365957","wikidata":"https://www.wikidata.org/wiki/Q17140402","display_name":"Remote sensing application","level":3,"score":0.34380000829696655},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32899999618530273},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.31779998540878296},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.3140000104904175},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3091999888420105},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.30090001225471497},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.296999990940094},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.29409998655319214},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.27880001068115234},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2720000147819519},{"id":"https://openalex.org/C64754055","wikidata":"https://www.wikidata.org/wiki/Q7574053","display_name":"Spatial contextual awareness","level":2,"score":0.26829999685287476},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.2653000056743622},{"id":"https://openalex.org/C39399123","wikidata":"https://www.wikidata.org/wiki/Q1348989","display_name":"Earth observation","level":3,"score":0.26190000772476196},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.25060001015663147}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2025.3615718","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2025.3615718","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2070706591","display_name":null,"funder_award_id":"62332008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2203804899","display_name":null,"funder_award_id":"62401429","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3953870557","display_name":null,"funder_award_id":"BK20251623","funder_id":"https://openalex.org/F4320334982","funder_display_name":"Basic Research Program of Jiangsu Province"},{"id":"https://openalex.org/G565014631","display_name":null,"funder_award_id":"2025M771739","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G7966462360","display_name":null,"funder_award_id":"2024M761178","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G8494200937","display_name":null,"funder_award_id":"62173265","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G928427748","display_name":null,"funder_award_id":"JUSRP202501074","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320334982","display_name":"Basic Research Program of Jiangsu Province","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1982075130","https://openalex.org/W2100470808","https://openalex.org/W2123350263","https://openalex.org/W2194775991","https://openalex.org/W2412782625","https://openalex.org/W2765095361","https://openalex.org/W2807746031","https://openalex.org/W2866634454","https://openalex.org/W2939217524","https://openalex.org/W2958038879","https://openalex.org/W2963112696","https://openalex.org/W2963150697","https://openalex.org/W2963529609","https://openalex.org/W2963706010","https://openalex.org/W2963868681","https://openalex.org/W2997316506","https://openalex.org/W3000653780","https://openalex.org/W3002301267","https://openalex.org/W3022555805","https://openalex.org/W3028333026","https://openalex.org/W3034453930","https://openalex.org/W3034684132","https://openalex.org/W3108948422","https://openalex.org/W3113755791","https://openalex.org/W3122412340","https://openalex.org/W3164098653","https://openalex.org/W3164803610","https://openalex.org/W3166092877","https://openalex.org/W3170841864","https://openalex.org/W3193915232","https://openalex.org/W4220856005","https://openalex.org/W4220867483","https://openalex.org/W4225257078","https://openalex.org/W4226456028","https://openalex.org/W4285285265","https://openalex.org/W4285310685","https://openalex.org/W4290715747","https://openalex.org/W4310332935","https://openalex.org/W4361278486","https://openalex.org/W4367663481","https://openalex.org/W4376464584","https://openalex.org/W4384282013","https://openalex.org/W4386065385","https://openalex.org/W4386282945","https://openalex.org/W4387005346","https://openalex.org/W4387225938","https://openalex.org/W4387747474","https://openalex.org/W4390874575","https://openalex.org/W4392173011","https://openalex.org/W4392267099","https://openalex.org/W4393397443","https://openalex.org/W4396949068","https://openalex.org/W4399880785","https://openalex.org/W4402568752","https://openalex.org/W4402667894","https://openalex.org/W4404056751","https://openalex.org/W4405939921","https://openalex.org/W4406163715","https://openalex.org/W4406657538","https://openalex.org/W4412110568"],"related_works":[],"abstract_inverted_index":{"The":[0,57,197],"increasing":[1],"frequency":[2],"of":[3,11,51,59,121],"global":[4,60,109],"wildfires":[5],"has":[6],"led":[7],"to":[8,139,192],"the":[9,47],"destruction":[10],"vast":[12],"forests":[13],"and":[14,72,79,92,108,118,125,135,145,155,169,194,201],"wetlands.":[15],"Non-contact":[16],"remote":[17],"sensing":[18],"technologies":[19],"provide":[20],"an":[21,156],"effective":[22],"means":[23],"for":[24,171],"accurate":[25],"burned":[26,52,67,122,144],"area":[27],"segmentation":[28,130],"(BAS).":[29],"However,":[30],"existing":[31],"BAS":[32,165,199],"methods":[33],"often":[34],"treat":[35],"each":[36],"image":[37,107],"independently,":[38],"focusing":[39],"primarily":[40],"on":[41,175],"local":[42,101],"pixel":[43],"contexts":[44],"while":[45],"neglecting":[46],"broader":[48],"semantic":[49,110],"consistency":[50],"regions":[53,123],"across":[54,81,112,126],"different":[55],"scenes.":[56],"lack":[58],"context":[61],"modeling":[62],"limits":[63],"their":[64],"robustness,":[65],"as":[66,77],"areas":[68],"typically":[69],"exhibit":[70],"distinctive":[71],"consistent":[73,117],"visual":[74],"characteristics":[75],"such":[76],"color":[78],"texture":[80],"diverse":[82],"environments.":[83],"To":[84],"address":[85],"this":[86],"limitation,":[87],"we":[88,148],"propose":[89],"a":[90,105,150],"Self-image":[91],"Cross-image":[93],"Consistency":[94],"Learning":[95],"(SCCL)":[96],"framework,":[97],"which":[98],"captures":[99],"both":[100],"pixel-level":[102],"relationships":[103],"within":[104,124],"single":[106],"dependencies":[111],"multiple":[113],"images.":[114],"By":[115],"enforcing":[116],"compact":[119],"representations":[120],"images,":[127],"SCCL":[128],"enhances":[129],"robustness":[131],"under":[132],"varying":[133],"weather":[134],"terrain":[136],"conditions.":[137],"Additionally,":[138],"refine":[140],"boundary":[141],"delineation":[142],"between":[143],"unburned":[146],"areas,":[147],"introduce":[149],"Burned":[151],"Edge":[152],"Injector":[153],"(BEI)":[154],"Edge-Injected":[157],"Decoder":[158],"(EID).":[159],"We":[160],"further":[161],"construct":[162],"two":[163],"large-scale":[164],"benchmark":[166],"datasets,":[167],"BAS-AUS":[168],"BAS-EUR,":[170],"comprehensive":[172],"evaluation.":[173],"Experiments":[174],"these":[176],"benchmarks":[177,200],"demonstrate":[178],"that":[179],"our":[180],"method":[181],"achieves":[182],"state-of-the-art":[183],"performance,":[184],"significantly":[185],"outperforming":[186],"previous":[187],"approaches,":[188],"with":[189],"MAE":[190],"reduced":[191],"0.017":[193],"0.016,":[195],"respectively.":[196],"new":[198],"code":[202],"are":[203],"available":[204],"at":[205],"https://github.com/VisionVerse/SCCL.":[206]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}