{"id":"https://openalex.org/W4378965891","doi":"https://doi.org/10.1109/lgrs.2023.3281335","title":"Depthwise Separable Convolutional Autoencoders for Hyperspectral Image Change Detection","display_name":"Depthwise Separable Convolutional Autoencoders for Hyperspectral Image Change Detection","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4378965891","doi":"https://doi.org/10.1109/lgrs.2023.3281335"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2023.3281335","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2023.3281335","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","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/A5101397279","display_name":"Yiyan Zhang","orcid":"https://orcid.org/0000-0001-7584-381X"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yiyan Zhang","raw_affiliation_strings":["College of Computer and Information, Hohai University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103050511","display_name":"Yongfeng Zhou","orcid":"https://orcid.org/0000-0003-0780-2973"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongfeng Zhou","raw_affiliation_strings":["College of Computer and Information, Hohai University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064694486","display_name":"Shufang Xu","orcid":"https://orcid.org/0000-0002-6802-9083"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shufang Xu","raw_affiliation_strings":["College of Computer and Information, Hohai University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075013625","display_name":"Danfeng Hong","orcid":"https://orcid.org/0000-0002-3212-9584"},"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/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Danfeng Hong","raw_affiliation_strings":["Chinese Academy of Sciences, Aerospace Information Research Institute, Beijing, China","Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Aerospace Information Research Institute, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044826967","display_name":"Hongmin Gao","orcid":"https://orcid.org/0000-0002-8404-2464"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongmin Gao","raw_affiliation_strings":["College of Computer and Information, Hohai University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100703823","display_name":"Chenming Li","orcid":"https://orcid.org/0000-0003-0959-7600"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenming Li","raw_affiliation_strings":["College of Computer and Information, Hohai University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102561586","display_name":"Qiqiang Zhong","orcid":null},"institutions":[{"id":"https://openalex.org/I4210160531","display_name":"Chinese People's Liberation Army","ror":"https://ror.org/05tf9r976","country_code":"CN","type":"funder","lineage":["https://openalex.org/I4210160531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiqiang Zhong","raw_affiliation_strings":["First Military Representative Office of Military Representative Bureau of Army Equipment Department, Nanjing, China","First Military Representative Office of Military Representative Bureau of Army Equipment Department in Nanjing, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"First Military Representative Office of Military Representative Bureau of Army Equipment Department, Nanjing, China","institution_ids":["https://openalex.org/I4210160531"]},{"raw_affiliation_string":"First Military Representative Office of Military Representative Bureau of Army Equipment Department in Nanjing, Nanjing, China","institution_ids":["https://openalex.org/I4210160531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100389658","display_name":"Bing Zhang","orcid":"https://orcid.org/0000-0001-7311-9844"},"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/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Zhang","raw_affiliation_strings":["Chinese Academy of Sciences, Aerospace Information Research Institute, Beijing, China","Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Aerospace Information Research Institute, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5101397279"],"corresponding_institution_ids":["https://openalex.org/I163340411"],"apc_list":null,"apc_paid":null,"fwci":2.8578,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.91776807,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"20","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":0.9998000264167786,"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":0.9998000264167786,"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":0.9883999824523926,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8103032112121582},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7889459133148193},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7667491436004639},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7397468090057373},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6609306335449219},{"id":"https://openalex.org/keywords/concatenation","display_name":"Concatenation (mathematics)","score":0.6328781843185425},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.5228046178817749},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.47799888253211975},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.44869258999824524},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42494839429855347},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15140223503112793}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8103032112121582},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7889459133148193},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7667491436004639},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7397468090057373},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6609306335449219},{"id":"https://openalex.org/C87619178","wikidata":"https://www.wikidata.org/wiki/Q126002","display_name":"Concatenation (mathematics)","level":2,"score":0.6328781843185425},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.5228046178817749},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.47799888253211975},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.44869258999824524},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42494839429855347},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15140223503112793},{"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2023.3281335","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2023.3281335","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7799999713897705,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1812132384","display_name":null,"funder_award_id":"2021M690885","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G2100995429","display_name":null,"funder_award_id":"BK20211201","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G4658630977","display_name":null,"funder_award_id":"62071168","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5484287860","display_name":null,"funder_award_id":"42271350","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G993160810","display_name":null,"funder_award_id":"42241109","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/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1968573840","https://openalex.org/W2167208453","https://openalex.org/W2423704522","https://openalex.org/W2755992512","https://openalex.org/W2792827505","https://openalex.org/W3102127038","https://openalex.org/W3154634026","https://openalex.org/W3171001481","https://openalex.org/W3183846167","https://openalex.org/W3195547108","https://openalex.org/W3207488093","https://openalex.org/W4226038296","https://openalex.org/W4292171529","https://openalex.org/W4312335845","https://openalex.org/W4313048911"],"related_works":["https://openalex.org/W2373577936","https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3095575180","https://openalex.org/W2389596151","https://openalex.org/W3034375524","https://openalex.org/W1973197867","https://openalex.org/W4281675222","https://openalex.org/W2568271140"],"abstract_inverted_index":{"Hyperspectral":[0],"image":[1],"change":[2,25],"detection":[3,26,141],"(HSI-CD)":[4],"has":[5],"recently":[6],"become":[7],"a":[8,16],"research":[9],"hotspot.":[10],"Current":[11],"methods":[12,158],"rely":[13],"heavily":[14],"on":[15,51,145],"huge":[17],"amount":[18],"of":[19,35,109],"training":[20],"samples":[21,70],"to":[22,71,93,112,137],"perform":[23],"the":[24,32,61,73,88,101,107,110,115,124,130,139,152],"tasks.":[27],"While":[28],"acquiring":[29],"data":[30],"from":[31,97,129],"same":[33],"region":[34],"bi-temporal":[36,98],"HSIs":[37],"is":[38,66],"extraordinarily":[39],"time-consuming":[40],"and":[41,81,117,133],"laborious.":[42],"Therefore,":[43],"this":[44],"letter":[45],"proposes":[46],"an":[47],"unsupervised":[48],"method":[49],"based":[50],"three":[52,146],"dimensional":[53],"(3D)":[54],"depthwise":[55],"separable":[56],"convolutional":[57],"autoencoders":[58,103],"(DSConvAE).":[59],"First,":[60],"dual-branch":[62],"symmetrical":[63],"3D":[64],"DSConvAE":[65],"pre-trained":[67],"with":[68],"limited":[69],"obtain":[72],"optimal":[74],"weights,":[75],"which":[76],"facilitates":[77],"extracting":[78],"discriminative":[79],"spatial":[80],"spectral":[82],"features":[83],"subsequently.":[84],"Second,":[85],"we":[86,122],"adopt":[87],"temporal-specific":[89],"feature":[90,119],"concatenation":[91],"strategy":[92],"acquire":[94],"comprehensive":[95],"characteristics":[96],"HSIs.":[99],"Third,":[100],"general":[102],"are":[104],"employed":[105],"at":[106],"end":[108],"model":[111],"further":[113],"explore":[114],"high-level":[116],"abstract":[118],"vectors.":[120],"Finally,":[121],"compare":[123],"mean":[125],"square":[126],"loss":[127],"calculated":[128],"spatial-spectral":[131],"branches":[132],"apply":[134],"threshold":[135],"judgement":[136],"generate":[138],"ultimate":[140],"maps.":[142],"Experimental":[143],"results":[144],"public":[147],"HSI":[148],"datasets":[149],"demonstrate":[150],"that":[151],"proposed":[153],"framework":[154],"outperforms":[155],"other":[156],"comparative":[157],"by":[159],"significant":[160],"improvements.":[161]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}