{"id":"https://openalex.org/W4396535401","doi":"https://doi.org/10.1109/tgrs.2024.3395135","title":"Remote Sensing Image Semantic Change Detection Boosted by Semi-Supervised Contrastive Learning of Semantic Segmentation","display_name":"Remote Sensing Image Semantic Change Detection Boosted by Semi-Supervised Contrastive Learning of Semantic Segmentation","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4396535401","doi":"https://doi.org/10.1109/tgrs.2024.3395135"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3395135","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3395135","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","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/A5040327019","display_name":"Xiuwei Zhang","orcid":"https://orcid.org/0000-0001-7230-1476"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiuwei Zhang","raw_affiliation_strings":["Shaanxi Provincial Key Laboratory of Speech and Image Information Processing and the National Engineering Laboratory for Integrated Aerospace-Ground-Ocean Big Data Application Technology, School of Computer Science, Northwestern Polytechnical University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"Shaanxi Provincial Key Laboratory of Speech and Image Information Processing and the National Engineering Laboratory for Integrated Aerospace-Ground-Ocean Big Data Application Technology, School of Computer Science, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102859190","display_name":"Yizhe Yang","orcid":"https://orcid.org/0000-0003-4335-4047"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yizhe Yang","raw_affiliation_strings":["Shaanxi Provincial Key Laboratory of Speech and Image Information Processing and the National Engineering Laboratory for Integrated Aerospace-Ground-Ocean Big Data Application Technology, School of Computer Science, Northwestern Polytechnical University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"Shaanxi Provincial Key Laboratory of Speech and Image Information Processing and the National Engineering Laboratory for Integrated Aerospace-Ground-Ocean Big Data Application Technology, School of Computer Science, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062259874","display_name":"Lingyan Ran","orcid":"https://orcid.org/0000-0002-3084-9860"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingyan Ran","raw_affiliation_strings":["Shaanxi Provincial Key Laboratory of Speech and Image Information Processing and the National Engineering Laboratory for Integrated Aerospace-Ground-Ocean Big Data Application Technology, School of Computer Science, Northwestern Polytechnical University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"Shaanxi Provincial Key Laboratory of Speech and Image Information Processing and the National Engineering Laboratory for Integrated Aerospace-Ground-Ocean Big Data Application Technology, School of Computer Science, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100594364","display_name":"Liang Chen","orcid":"https://orcid.org/0009-0005-1917-8719"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liang Chen","raw_affiliation_strings":["Information Center, Yellow River Conservancy Commission, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"Information Center, Yellow River Conservancy Commission, Zhengzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102811828","display_name":"Kangwei Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kangwei Wang","raw_affiliation_strings":["Shaanxi Provincial Key Laboratory of Speech and Image Information Processing and the National Engineering Laboratory for Integrated Aerospace-Ground-Ocean Big Data Application Technology, School of Computer Science, Northwestern Polytechnical University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"Shaanxi Provincial Key Laboratory of Speech and Image Information Processing and the National Engineering Laboratory for Integrated Aerospace-Ground-Ocean Big Data Application Technology, School of Computer Science, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054262297","display_name":"Lei Yu","orcid":"https://orcid.org/0000-0001-9106-7515"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Yu","raw_affiliation_strings":["Shaanxi Provincial Key Laboratory of Speech and Image Information Processing and the National Engineering Laboratory for Integrated Aerospace-Ground-Ocean Big Data Application Technology, School of Computer Science, Northwestern Polytechnical University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"Shaanxi Provincial Key Laboratory of Speech and Image Information Processing and the National Engineering Laboratory for Integrated Aerospace-Ground-Ocean Big Data Application Technology, School of Computer Science, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100396097","display_name":"Peng Wang","orcid":"https://orcid.org/0000-0002-9218-9132"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Wang","raw_affiliation_strings":["Shaanxi Provincial Key Laboratory of Speech and Image Information Processing and the National Engineering Laboratory for Integrated Aerospace-Ground-Ocean Big Data Application Technology, School of Computer Science, Northwestern Polytechnical University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"Shaanxi Provincial Key Laboratory of Speech and Image Information Processing and the National Engineering Laboratory for Integrated Aerospace-Ground-Ocean Big Data Application Technology, School of Computer Science, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028235866","display_name":"Yanning Zhang","orcid":"https://orcid.org/0000-0002-2977-8057"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanning Zhang","raw_affiliation_strings":["Shaanxi Provincial Key Laboratory of Speech and Image Information Processing and the National Engineering Laboratory for Integrated Aerospace-Ground-Ocean Big Data Application Technology, School of Computer Science, Northwestern Polytechnical University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"Shaanxi Provincial Key Laboratory of Speech and Image Information Processing and the National Engineering Laboratory for Integrated Aerospace-Ground-Ocean Big Data Application Technology, School of Computer Science, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5040327019"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":3.85,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.93892201,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9980000257492065,"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"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9847000241279602,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.751619815826416},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6406257152557373},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6195789575576782},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5608301162719727},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.5404532551765442},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.44326645135879517},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4179397225379944},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3988015055656433},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3669055700302124},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36163970828056335},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1389065980911255}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.751619815826416},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6406257152557373},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6195789575576782},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5608301162719727},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.5404532551765442},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.44326645135879517},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4179397225379944},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3988015055656433},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3669055700302124},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36163970828056335},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1389065980911255},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3395135","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3395135","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.4699999988079071,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G257927810","display_name":null,"funder_award_id":"61971356U19B2037","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3143984095","display_name":null,"funder_award_id":"2024JC-YBQN-0719","funder_id":"https://openalex.org/F4320336567","funder_display_name":"Natural Science Basic Research Program of Shaanxi Province"},{"id":"https://openalex.org/G4282181707","display_name":null,"funder_award_id":"2023YFC32093042023YFC3209305","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G4521256747","display_name":null,"funder_award_id":"2021KWZ-03","funder_id":"https://openalex.org/F4320324173","funder_display_name":"Natural Science Foundation of Shaanxi Province"},{"id":"https://openalex.org/G6636164533","display_name":null,"funder_award_id":"2023J262","funder_id":"https://openalex.org/F4320332587","funder_display_name":"Natural Science Foundation of Ningbo"},{"id":"https://openalex.org/G7603402184","display_name":null,"funder_award_id":"2022JQ-686","funder_id":"https://openalex.org/F4320324173","funder_display_name":"Natural Science Foundation of Shaanxi Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324173","display_name":"Natural Science Foundation of Shaanxi Province","ror":null},{"id":"https://openalex.org/F4320332587","display_name":"Natural Science Foundation of Ningbo","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320336567","display_name":"Natural Science Basic Research Program of Shaanxi Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":86,"referenced_works":["https://openalex.org/W1972022496","https://openalex.org/W2011572981","https://openalex.org/W2017479570","https://openalex.org/W2030257787","https://openalex.org/W2063145744","https://openalex.org/W2069746772","https://openalex.org/W2100335098","https://openalex.org/W2157026765","https://openalex.org/W2194775991","https://openalex.org/W2261462550","https://openalex.org/W2274749644","https://openalex.org/W2343427588","https://openalex.org/W2560023338","https://openalex.org/W2606635696","https://openalex.org/W2741377155","https://openalex.org/W2778764040","https://openalex.org/W2787241931","https://openalex.org/W2792827505","https://openalex.org/W2842511635","https://openalex.org/W2899101283","https://openalex.org/W2901437370","https://openalex.org/W2908510526","https://openalex.org/W2910587630","https://openalex.org/W2951970475","https://openalex.org/W2953308875","https://openalex.org/W2964159205","https://openalex.org/W2964201867","https://openalex.org/W2966542792","https://openalex.org/W2984033187","https://openalex.org/W2995808743","https://openalex.org/W3014641072","https://openalex.org/W3021472582","https://openalex.org/W3035160371","https://openalex.org/W3035680157","https://openalex.org/W3040988483","https://openalex.org/W3083065220","https://openalex.org/W3096831136","https://openalex.org/W3102127038","https://openalex.org/W3107695429","https://openalex.org/W3109620645","https://openalex.org/W3113328489","https://openalex.org/W3122412340","https://openalex.org/W3123291413","https://openalex.org/W3153332184","https://openalex.org/W3157653192","https://openalex.org/W3171581326","https://openalex.org/W3172288085","https://openalex.org/W3193414609","https://openalex.org/W3194467570","https://openalex.org/W3194470774","https://openalex.org/W3202623927","https://openalex.org/W3202757651","https://openalex.org/W3217456364","https://openalex.org/W4200000656","https://openalex.org/W4206422044","https://openalex.org/W4221161877","https://openalex.org/W4283736234","https://openalex.org/W4283804319","https://openalex.org/W4285204591","https://openalex.org/W4287642547","https://openalex.org/W4297808394","https://openalex.org/W4297883960","https://openalex.org/W4311759608","https://openalex.org/W4312310512","https://openalex.org/W4312421335","https://openalex.org/W4312683235","https://openalex.org/W4313855809","https://openalex.org/W4319966415","https://openalex.org/W4324116324","https://openalex.org/W4365131396","https://openalex.org/W4366504419","https://openalex.org/W4378194802","https://openalex.org/W6623329352","https://openalex.org/W6681588610","https://openalex.org/W6717772578","https://openalex.org/W6718379498","https://openalex.org/W6732249622","https://openalex.org/W6748692255","https://openalex.org/W6757817989","https://openalex.org/W6764051988","https://openalex.org/W6765939562","https://openalex.org/W6776411772","https://openalex.org/W6776700526","https://openalex.org/W6793972746","https://openalex.org/W6794968592","https://openalex.org/W6846675041"],"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/W3112772842","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Semantic":[0],"change":[1,122,142],"detection":[2],"(SCD)":[3],"is":[4,88,104],"a":[5,71,82,91,95,157,239],"challenging":[6,45,186],"task":[7],"in":[8,66,80,246],"remote":[9],"sensing":[10],"image":[11],"(RSI)":[12],"interpretation,":[13],"which":[14,81],"adopts":[15],"multitemporal":[16],"images":[17],"to":[18,46,106],"detect,":[19],"locate,":[20],"and":[21,34,84,94,129,141,211,224,244],"analyze":[22],"pixel-level":[23],"land-cover":[24],"\u201cfrom-to\u201d":[25],"changes.":[26],"In":[27],"SCD,":[28],"the":[29,35,49,108,136,146,151,193,207,212,222,225,230,234,247],"severe":[30],"class":[31],"imbalance":[32],"problem":[33],"occurrence":[36],"of":[37,100,110,138,150,242],"confusing":[38],"categories":[39,52,195],"are":[40],"very":[41],"typical,":[42],"making":[43],"it":[44],"accurately":[47],"distinguish":[48],"easily":[50,170],"confused":[51,171],"with":[53,177,238],"limited":[54],"semantic":[55,101,115,139,147],"context":[56,116,140,148],"information.":[57,143],"However,":[58],"previous":[59],"works":[60],"did":[61],"not":[62],"address":[63],"these":[64],"issues":[65],"depth.":[67],"This":[68],"article":[69],"proposes":[70],"novel":[72],"SCD":[73,86,133],"method":[74,160],"named":[75],"semi-supervised":[76,96,162],"contrastive":[77,97,175],"learning":[78,98,176],"(SSCLNet),":[79],"simple":[83],"effective":[85],"network":[87,119],"designed":[89],"as":[90],"strong":[92],"baseline,":[93],"module":[99],"segmentation":[102],"(SS)":[103],"presented":[105],"enhance":[107],"distinguishability":[109],"categories.":[111],"Our":[112],"baseline":[113],"extracts":[114],"through":[117,125],"high-resolution":[118],"(HRNet),":[120],"gets":[121],"information":[123,149],"simply":[124],"an":[126,178],"absolute":[127],"difference,":[128],"then":[130],"directly":[131],"performs":[132],"based":[134],"on":[135,221],"fusion":[137],"To":[144,164],"utilize":[145],"unlabeled":[152],"non-changed":[153,213],"regions,":[154],"we":[155,173],"employ":[156],"self-training":[158],"(ST)":[159],"for":[161,169,182,189],"SS.":[163,183],"learn":[165],"distinguishable":[166],"feature":[167],"representations":[168],"categories,":[172],"present":[174],"adaptive":[179],"sampling":[180,203],"strategy":[181],"It":[184],"selects":[185],"negative":[187],"samples":[188,210,214],"each":[190],"category":[191],"from":[192],"other":[194],"that":[196,229],"exhibit":[197],"similar":[198],"features":[199],"or":[200],"attributes.":[201],"The":[202,218],"space":[204],"includes":[205],"both":[206],"labeled":[208],"changed":[209],"predicted":[215],"by":[216],"ST.":[217],"comprehensive":[219],"experiments":[220],"SECOND":[223],"Landsat-SCD":[226],"dataset":[227],"demonstrate":[228],"proposed":[231],"SSCLNet":[232],"achieves":[233],"state-of-the-art":[235],"(SOTA)":[236],"performance,":[237],"significant":[240],"improvement":[241],"2.07%":[243],"4.15%":[245],"score":[248],"value,":[249],"respectively.":[250]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}
