{"id":"https://openalex.org/W4411948827","doi":"https://doi.org/10.1109/tgrs.2025.3585229","title":"DSFDcd: Joint Distribution Sampling and Feature Decoupling Deep Network for Remote Sensing Change Detection","display_name":"DSFDcd: Joint Distribution Sampling and Feature Decoupling Deep Network for Remote Sensing Change Detection","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4411948827","doi":"https://doi.org/10.1109/tgrs.2025.3585229"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2025.3585229","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3585229","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/A5101505758","display_name":"Bin Wang","orcid":"https://orcid.org/0000-0002-3372-7906"},"institutions":[{"id":"https://openalex.org/I135714990","display_name":"North University of China","ror":"https://ror.org/047bp1713","country_code":"CN","type":"education","lineage":["https://openalex.org/I135714990"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Wang","raw_affiliation_strings":["Department of Computer Science and Technology, North University of China, Taiyuan, China","Department of computer science and technology, North University of China, Taiyuan, China"],"raw_orcid":"https://orcid.org/0000-0002-3372-7906","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, North University of China, Taiyuan, China","institution_ids":["https://openalex.org/I135714990"]},{"raw_affiliation_string":"Department of computer science and technology, North University of China, Taiyuan, China","institution_ids":["https://openalex.org/I135714990"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114002019","display_name":"Xiaohu Jiang","orcid":"https://orcid.org/0009-0000-3133-1986"},"institutions":[{"id":"https://openalex.org/I135714990","display_name":"North University of China","ror":"https://ror.org/047bp1713","country_code":"CN","type":"education","lineage":["https://openalex.org/I135714990"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohu Jiang","raw_affiliation_strings":["Department of Computer Science and Technology, North University of China, Taiyuan, China","Department of computer science and technology, North University of China, Taiyuan, China"],"raw_orcid":"https://orcid.org/0009-0000-3133-1986","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, North University of China, Taiyuan, China","institution_ids":["https://openalex.org/I135714990"]},{"raw_affiliation_string":"Department of computer science and technology, North University of China, Taiyuan, China","institution_ids":["https://openalex.org/I135714990"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067778788","display_name":"Pinle Qin","orcid":"https://orcid.org/0000-0002-9086-7366"},"institutions":[{"id":"https://openalex.org/I135714990","display_name":"North University of China","ror":"https://ror.org/047bp1713","country_code":"CN","type":"education","lineage":["https://openalex.org/I135714990"]},{"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/I4210160793","display_name":"Institute of Geographic Sciences and Natural Resources Research","ror":"https://ror.org/04t1cdb72","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pinle Qin","raw_affiliation_strings":["State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China","Department of computer science and technology, North University of China, Taiyuan, China"],"raw_orcid":"https://orcid.org/0000-0002-9086-7366","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]},{"raw_affiliation_string":"Department of computer science and technology, North University of China, Taiyuan, China","institution_ids":["https://openalex.org/I135714990"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030630089","display_name":"Jianchao Zeng","orcid":"https://orcid.org/0000-0001-7755-7550"},"institutions":[{"id":"https://openalex.org/I135714990","display_name":"North University of China","ror":"https://ror.org/047bp1713","country_code":"CN","type":"education","lineage":["https://openalex.org/I135714990"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianchao Zeng","raw_affiliation_strings":["Department of Computer Science and Technology, North University of China, Taiyuan, China","Department of computer science and technology, North University of China, Taiyuan, China"],"raw_orcid":"https://orcid.org/0000-0001-7755-7550","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, North University of China, Taiyuan, China","institution_ids":["https://openalex.org/I135714990"]},{"raw_affiliation_string":"Department of computer science and technology, North University of China, Taiyuan, China","institution_ids":["https://openalex.org/I135714990"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6364,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.62511019,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.8995000123977661,"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"}},"topics":[{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.8995000123977661,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.8407999873161316,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6988828182220459},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6396305561065674},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5799341201782227},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.560576856136322},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.5492683053016663},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5000166893005371},{"id":"https://openalex.org/keywords/decoupling","display_name":"Decoupling (probability)","score":0.4636218845844269},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4423377215862274},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4150792062282562},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3945189416408539},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.331190288066864},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.214277982711792},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.20894759893417358},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07779616117477417}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6988828182220459},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6396305561065674},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5799341201782227},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.560576856136322},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.5492683053016663},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5000166893005371},{"id":"https://openalex.org/C205606062","wikidata":"https://www.wikidata.org/wiki/Q5249645","display_name":"Decoupling (probability)","level":2,"score":0.4636218845844269},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4423377215862274},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4150792062282562},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3945189416408539},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.331190288066864},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.214277982711792},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.20894759893417358},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07779616117477417},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2025.3585229","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3585229","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":[{"id":"https://metadata.un.org/sdg/13","score":0.41999998688697815,"display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G2639864943","display_name":"\u6d77\u5357\u7701\u996e\u7528\u6c34\u6e90\u5730\u751f\u6001\u73af\u5883\u53ef\u6301\u7eed\u53d1\u5c55\u9065\u611f\u76d1\u6d4b\u4e0e\u8bc4\u4f30","funder_award_id":"422QN350","funder_id":"https://openalex.org/F4320322866","funder_display_name":"Natural Science Foundation of Hainan Province"},{"id":"https://openalex.org/G4437378271","display_name":null,"funder_award_id":"42001360","funder_id":"https://openalex.org/F4320333688","funder_display_name":"National Outstanding Youth Science Fund Project of National Natural Science Foundation of China"},{"id":"https://openalex.org/G6046175522","display_name":null,"funder_award_id":"2024-118","funder_id":"https://openalex.org/F4320321884","funder_display_name":"Shanxi Scholarship Council of China"}],"funders":[{"id":"https://openalex.org/F4320321884","display_name":"Shanxi Scholarship Council of China","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320322866","display_name":"Natural Science Foundation of Hainan Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320326832","display_name":"State Key Laboratory of Resources and Environmental Information System","ror":null},{"id":"https://openalex.org/F4320333688","display_name":"National Outstanding Youth Science Fund Project of National Natural Science Foundation of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W2741094041","https://openalex.org/W3043645330","https://openalex.org/W3108457314","https://openalex.org/W3120467244","https://openalex.org/W3180045188","https://openalex.org/W3205648326","https://openalex.org/W4226305459","https://openalex.org/W4295935150","https://openalex.org/W4308640080","https://openalex.org/W4312271187","https://openalex.org/W4312549298","https://openalex.org/W4312683235","https://openalex.org/W4312986557","https://openalex.org/W4313120528","https://openalex.org/W4318767292","https://openalex.org/W4321487923","https://openalex.org/W4360930410","https://openalex.org/W4388157208","https://openalex.org/W4388937272","https://openalex.org/W4390874440","https://openalex.org/W4392902556","https://openalex.org/W4392940616","https://openalex.org/W4393207086","https://openalex.org/W4393906060","https://openalex.org/W4394007483","https://openalex.org/W4394730850","https://openalex.org/W4398188205","https://openalex.org/W4399310747","https://openalex.org/W4399449678","https://openalex.org/W4401023846","https://openalex.org/W4401992000","https://openalex.org/W4402388748","https://openalex.org/W4402702923","https://openalex.org/W4402704513","https://openalex.org/W4402715877","https://openalex.org/W4402716432","https://openalex.org/W4402726980","https://openalex.org/W4402727415","https://openalex.org/W4402727862","https://openalex.org/W4402733581","https://openalex.org/W4402742843","https://openalex.org/W4402753770","https://openalex.org/W4402753950","https://openalex.org/W4402754230","https://openalex.org/W4402776734","https://openalex.org/W4402782554","https://openalex.org/W4402952320","https://openalex.org/W4403977303","https://openalex.org/W4404914866","https://openalex.org/W4405440473","https://openalex.org/W4405600690","https://openalex.org/W4405632589","https://openalex.org/W4405778662","https://openalex.org/W4406089784","https://openalex.org/W4406089856","https://openalex.org/W4406171813","https://openalex.org/W4406171817","https://openalex.org/W4406207887","https://openalex.org/W4406610912","https://openalex.org/W4407212099","https://openalex.org/W4407361538","https://openalex.org/W4407851789","https://openalex.org/W4407900625"],"related_works":["https://openalex.org/W4313561376","https://openalex.org/W2568858292","https://openalex.org/W3103825105","https://openalex.org/W3027880158","https://openalex.org/W3207533102","https://openalex.org/W1617565119","https://openalex.org/W160381218","https://openalex.org/W1515964938","https://openalex.org/W2512958550","https://openalex.org/W2389381914"],"abstract_inverted_index":{"Remote":[0],"sensing":[1],"change":[2,64],"detection(RSCD)":[3],"aims":[4],"to":[5,33,44,100,141,151],"identify":[6],"the":[7,39,60,84,87,91,102,113,121,128,135,158,163,167,170,180],"regions":[8],"of":[9,47,90,205],"interest":[10],"that":[11,197],"have":[12],"changed":[13],"between":[14],"dual-temporal":[15],"images.":[16],"However,":[17],"most":[18],"deep":[19],"models":[20],"predict":[21],"CD":[22,189],"results":[23,202],"by":[24,161],"extracting":[25],"multi-scale":[26],"hybrid":[27],"features,":[28],"which":[29],"could":[30],"easily":[31],"lead":[32],"ambiguous":[34],"semantic":[35],"boundaries;":[36],"in":[37,203],"addition,":[38],"existing":[40],"feature":[41,108,115,181],"acquisition":[42],"tends":[43],"lack":[45],"consideration":[46],"capturing":[48],"their":[49],"diversity":[50],"usually":[51],"causing":[52],"poor":[53],"model":[54],"generalization.":[55],"Thus,":[56],"this":[57],"paper":[58],"decomposes":[59],"mixed":[61],"features":[62,67,93,130,150],"into":[63],"and":[65,73,125,147,188,207],"invariant":[66],"jointly":[68],"with":[69,117],"stochastic":[70],"distribution":[71,89,104,185,193],"sampling":[72,119],"convolution":[74],"thus":[75],"accomplishing":[76],"robust":[77,107,171],"RSCD":[78,172],"based":[79,173],"on":[80,174],"decoupled":[81,122,129,175,183],"representations.":[82],"In":[83,166],"training":[85],"stage,":[86,169],"posterior":[88,192],"uncoupled":[92],"is":[94,110,139,177],"first":[95],"learned":[96],"through":[97,131,179],"label":[98],"calibration":[99],"train":[101],"prior":[103,184],"generator;":[105],"then,":[106],"decoupling":[109],"implemented":[111],"combining":[112],"convolutional":[114],"separator":[116],"re-parameterized":[118],"over":[120],"posteriori":[123],"distribution,":[124],"further":[126],"aggregating":[127],"prototype":[132],"learning;":[133],"finally,":[134],"exceed-expectation":[136],"loss":[137],"regularizer":[138],"proposed":[140],"push":[142],"or":[143],"pull":[144],"these":[145],"positive":[146],"negative":[148],"sample":[149],"a":[152],"more":[153],"distant":[154],"end,":[155],"thereby":[156],"increasing":[157],"inter-class":[159],"distance":[160],"boosting":[162],"predicted":[164],"expectation.":[165],"testing":[168],"representation":[176],"accomplished":[178],"separator,":[182],"random":[186],"sampling,":[187],"head":[190],"without":[191],"support.":[194],"Experiments":[195],"prove":[196],"DSFDcd":[198],"has":[199],"achieved":[200],"remarkable":[201],"terms":[204],"qualitative":[206],"quantitative":[208],"metrics.":[209],"Our":[210],"codes":[211],"will":[212],"be":[213],"available":[214],"at":[215],"https://github.com/iceking111/DSFDcd.":[216]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
