{"id":"https://openalex.org/W4392543909","doi":"https://doi.org/10.1109/tgrs.2024.3374600","title":"DCENet: Diff-Feature Contrast Enhancement Network for Semi-Supervised Hyperspectral Change Detection","display_name":"DCENet: Diff-Feature Contrast Enhancement Network for Semi-Supervised Hyperspectral Change Detection","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4392543909","doi":"https://doi.org/10.1109/tgrs.2024.3374600"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3374600","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3374600","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/A5064046752","display_name":"Fulin Luo","orcid":"https://orcid.org/0000-0002-7696-0775"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fulin Luo","raw_affiliation_strings":["College of Computer Science, Chongqing University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087326265","display_name":"Tianyuan Zhou","orcid":"https://orcid.org/0000-0002-6551-4497"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianyuan Zhou","raw_affiliation_strings":["College of Computer Science, Chongqing University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101744185","display_name":"Jiamin Liu","orcid":"https://orcid.org/0000-0001-7187-8708"},"institutions":[{"id":"https://openalex.org/I50632499","display_name":"Chongqing University of Technology","ror":"https://ror.org/04vgbd477","country_code":"CN","type":"education","lineage":["https://openalex.org/I50632499"]},{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiamin Liu","raw_affiliation_strings":["Key Laboratory of Optoelectronic Technology and Systems, Education Ministry of China, Chongqing University, Chongqing, China","Key Laboratory of Optoelectronic Technology and Systems of the Education Ministry of China, Chongqing University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Optoelectronic Technology and Systems, Education Ministry of China, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]},{"raw_affiliation_string":"Key Laboratory of Optoelectronic Technology and Systems of the Education Ministry of China, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I50632499"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009251831","display_name":"Tan Guo","orcid":"https://orcid.org/0000-0001-9523-8094"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tan Guo","raw_affiliation_strings":["School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008251375","display_name":"Xiuwen Gong","orcid":"https://orcid.org/0000-0002-1078-1571"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xiuwen Gong","raw_affiliation_strings":["Faculty of Engineering, The University of Sydney, Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, The University of Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101785348","display_name":"Xinbo Gao","orcid":"https://orcid.org/0000-0003-1443-0776"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinbo Gao","raw_affiliation_strings":["Chongqing Key Laboratory of Image Cognition, Chongqing University of Posts and Telecommunications, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Image Cognition, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5064046752"],"corresponding_institution_ids":["https://openalex.org/I158842170"],"apc_list":null,"apc_paid":null,"fwci":12.8541,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.98870473,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9879000186920166,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9013000130653381,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7662289142608643},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7328844666481018},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7219080924987793},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6877105236053467},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5957319140434265},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.558222770690918},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.5343605279922485},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5273595452308655},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5106573700904846},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.42599859833717346},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2039720118045807}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7662289142608643},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7328844666481018},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7219080924987793},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6877105236053467},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5957319140434265},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.558222770690918},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.5343605279922485},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5273595452308655},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5106573700904846},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.42599859833717346},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2039720118045807},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3374600","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3374600","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":[],"awards":[{"id":"https://openalex.org/G1722848255","display_name":null,"funder_award_id":"CSTB2022NSCQ-MSX0452","funder_id":"https://openalex.org/F4320323172","funder_display_name":"Natural Science Foundation of Chongqing"},{"id":"https://openalex.org/G2532463097","display_name":null,"funder_award_id":"62071340","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4480856173","display_name":null,"funder_award_id":"2023CDJXY-039","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G5658058112","display_name":null,"funder_award_id":"62371076","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5922005406","display_name":null,"funder_award_id":"62201109","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/F4320323172","display_name":"Natural Science Foundation of Chongqing","ror":"https://ror.org/01h0zpd94"},{"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":49,"referenced_works":["https://openalex.org/W2006383776","https://openalex.org/W2026653933","https://openalex.org/W2064675550","https://openalex.org/W2118116484","https://openalex.org/W2123649031","https://openalex.org/W2144552105","https://openalex.org/W2194775991","https://openalex.org/W2565639579","https://openalex.org/W2746791238","https://openalex.org/W2792827505","https://openalex.org/W2800240447","https://openalex.org/W2922706279","https://openalex.org/W2953308875","https://openalex.org/W2989751901","https://openalex.org/W2997043451","https://openalex.org/W3034552520","https://openalex.org/W3035524453","https://openalex.org/W3093222659","https://openalex.org/W3102127038","https://openalex.org/W3114632476","https://openalex.org/W3183846167","https://openalex.org/W3212604410","https://openalex.org/W3215176889","https://openalex.org/W4206267281","https://openalex.org/W4206550078","https://openalex.org/W4211155378","https://openalex.org/W4213124617","https://openalex.org/W4285177833","https://openalex.org/W4289752563","https://openalex.org/W4293812296","https://openalex.org/W4294734931","https://openalex.org/W4294811351","https://openalex.org/W4313048911","https://openalex.org/W4319865968","https://openalex.org/W4366957284","https://openalex.org/W4386299119","https://openalex.org/W4386590775","https://openalex.org/W4387757711","https://openalex.org/W4387828757","https://openalex.org/W4387829499","https://openalex.org/W4388019109","https://openalex.org/W4389104771","https://openalex.org/W4389104779","https://openalex.org/W4390357767","https://openalex.org/W4396499215","https://openalex.org/W6717367658","https://openalex.org/W6766978945","https://openalex.org/W6842796554","https://openalex.org/W6852415189"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2070598848","https://openalex.org/W2044184146","https://openalex.org/W1973197867","https://openalex.org/W4281675222","https://openalex.org/W2568271140"],"abstract_inverted_index":{"Multi-temporal":[0],"Hyperspectral":[1],"images":[2],"(HSIs)":[3],"have":[4],"wide":[5],"applications":[6],"in":[7,43,124,151],"change":[8,86],"detection":[9],"(CD)":[10],"of":[11,34,66,78,85,121,159],"different":[12],"land-covers":[13],"for":[14,57,181],"their":[15],"rich":[16],"spectral":[17],"features":[18,102,123],"and":[19,74,132,163],"image":[20],"details.":[21],"Traditional":[22],"supervised":[23],"learning-based":[24],"HSI":[25,59,107,169,182],"CD":[26],"algorithms":[27],"often":[28],"rely":[29],"on":[30,167],"a":[31,40,51,63,75,91],"substantial":[32],"number":[33,65,77],"labeled":[35,67],"samples.":[36],"However,":[37],"it":[38],"requires":[39],"significant":[41],"cost":[42],"sample":[44],"annotation.":[45],"In":[46],"this":[47],"paper,":[48],"we":[49],"propose":[50],"diff-feature":[52],"contrast":[53,135],"enhancement":[54,112],"network":[55],"(DCENet)":[56],"semi-supervised":[58],"CD,":[60],"which":[61],"leverages":[62],"limited":[64],"samples":[68,80],"to":[69,81,99,117,139],"guide":[70],"the":[71,83,104,119,125,141,156,173,177],"training":[72],"process":[73],"large":[76],"unlabeled":[79],"improve":[82],"confidence":[84],"detection.":[87],"To":[88],"achieve":[89],"this,":[90],"differential":[92,122],"fusion":[93],"attention":[94],"(DFA)":[95],"sub-network":[96],"is":[97,115],"constructed":[98],"extract":[100],"temporal":[101],"from":[103],"initial":[105],"input":[106],"patches.":[108],"The":[109,143,161],"dual-branch":[110],"siamese":[111],"module":[113],"(SEM)":[114],"utilized":[116],"enhance":[118],"generalization":[120,157],"feature":[126],"maps.":[127],"Herein,":[128],"multi-scale":[129],"Kullback-Leibler":[130],"divergence":[131],"feature-enhanced":[133],"probabilistic":[134],"loss":[136],"are":[137],"designed":[138],"constrain":[140],"SEM.":[142],"proposed":[144,174],"method":[145],"excels":[146],"at":[147],"detecting":[148],"subtle":[149],"changes":[150],"bi-temporal":[152],"HSIs":[153],"simultaneously":[154],"improving":[155],"performance":[158],"networks.":[160],"visual":[162],"quantitative":[164],"experimental":[165],"results":[166],"four":[168],"datasets":[170],"show":[171],"that":[172],"DCENet":[175],"outperforms":[176],"compared":[178],"state-of-the-art":[179],"methods":[180],"CD.":[183],"Codes:":[184],"https://github.com/Zhoutya/ChangeDetection-DCENet.":[185]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":22},{"year":2024,"cited_by_count":13}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
