{"id":"https://openalex.org/W4321021423","doi":"https://doi.org/10.1109/tnnls.2023.3242075","title":"Semisupervised Change Detection Based on Bihierarchical Feature Aggregation and Extraction Network","display_name":"Semisupervised Change Detection Based on Bihierarchical Feature Aggregation and Extraction Network","publication_year":2023,"publication_date":"2023-02-16","ids":{"openalex":"https://openalex.org/W4321021423","doi":"https://doi.org/10.1109/tnnls.2023.3242075","pmid":"https://pubmed.ncbi.nlm.nih.gov/37022855"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2023.3242075","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3242075","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100432821","display_name":"Mingyang Zhang","orcid":"https://orcid.org/0000-0002-9768-516X"},"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":"Mingyang Zhang","raw_affiliation_strings":["School of Electronic Engineering, Xidian University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-9768-516X","affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027989310","display_name":"Tianqi Gao","orcid":"https://orcid.org/0000-0001-7367-2236"},"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":"Tianqi Gao","raw_affiliation_strings":["School of Electronic Engineering, Xidian University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0001-7367-2236","affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091227928","display_name":"Maoguo Gong","orcid":"https://orcid.org/0000-0002-0415-8556"},"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":"Maoguo Gong","raw_affiliation_strings":["School of Electronic Engineering, Xidian University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-0415-8556","affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079377634","display_name":"Shengqi Zhu","orcid":"https://orcid.org/0000-0002-3119-4472"},"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":"Shengqi Zhu","raw_affiliation_strings":["National Laboratory of Radar Signal Processing, Xidian University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-3119-4472","affiliations":[{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009576623","display_name":"Yue Wu","orcid":"https://orcid.org/0000-0002-3459-5079"},"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":"Yue Wu","raw_affiliation_strings":["School of Computer Science and Technology, Xidian University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-3459-5079","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100348617","display_name":"Hao Li","orcid":"https://orcid.org/0000-0002-6294-6761"},"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":"Hao Li","raw_affiliation_strings":["School of Electronic Engineering, Xidian University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-6294-6761","affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":1.6312,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.80762302,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"35","issue":"8","first_page":"10488","last_page":"10502"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9934999942779541,"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":0.9934999942779541,"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":0.9783999919891357,"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/change-detection","display_name":"Change detection","score":0.721678614616394},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6392651200294495},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5757648348808289},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5720056891441345},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.5338583588600159},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5040673017501831},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4690312147140503},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32384997606277466},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.09854722023010254},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.07245978713035583}],"concepts":[{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.721678614616394},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6392651200294495},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5757648348808289},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5720056891441345},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.5338583588600159},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5040673017501831},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4690312147140503},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32384997606277466},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.09854722023010254},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.07245978713035583},{"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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2023.3242075","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3242075","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:37022855","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37022855","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G1949608614","display_name":null,"funder_award_id":"62036006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1965026428","display_name":null,"funder_award_id":"61906147","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1523879065","https://openalex.org/W1998595580","https://openalex.org/W2011572981","https://openalex.org/W2036798369","https://openalex.org/W2042141552","https://openalex.org/W2084073239","https://openalex.org/W2104374858","https://openalex.org/W2105586246","https://openalex.org/W2107170853","https://openalex.org/W2113972550","https://openalex.org/W2114068285","https://openalex.org/W2118116484","https://openalex.org/W2118246710","https://openalex.org/W2138916851","https://openalex.org/W2144552105","https://openalex.org/W2153633422","https://openalex.org/W2157026765","https://openalex.org/W2158583102","https://openalex.org/W2221448138","https://openalex.org/W2312468355","https://openalex.org/W2479519232","https://openalex.org/W2497902795","https://openalex.org/W2564140372","https://openalex.org/W2567285691","https://openalex.org/W2587329506","https://openalex.org/W2738855634","https://openalex.org/W2779571083","https://openalex.org/W2883305476","https://openalex.org/W2884276099","https://openalex.org/W2908934617","https://openalex.org/W2910587630","https://openalex.org/W2946163361","https://openalex.org/W2963727135","https://openalex.org/W2967956124","https://openalex.org/W2978780657","https://openalex.org/W2980850230","https://openalex.org/W3011156941","https://openalex.org/W3015038817","https://openalex.org/W3017051070","https://openalex.org/W3017092406","https://openalex.org/W3048064159","https://openalex.org/W3099831940","https://openalex.org/W3131096279","https://openalex.org/W3156669901","https://openalex.org/W3164154062","https://openalex.org/W3164855829","https://openalex.org/W3178882511","https://openalex.org/W4283718418","https://openalex.org/W4384306313","https://openalex.org/W6631190155","https://openalex.org/W6631361901"],"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/W2355368334","https://openalex.org/W2073313993"],"abstract_inverted_index":{"With":[0],"the":[1,41,58,75,81,127,142,152,156,163,189,205,210],"rapid":[2],"development":[3],"of":[4,52,60,87,115,122,155,167,209],"remote":[5],"sensing":[6],"(RS)":[7],"technology,":[8],"high-resolution":[9,108],"RS":[10,53,88,109],"image":[11],"change":[12],"detection":[13],"(CD)":[14],"has":[15],"been":[16],"widely":[17,28],"used":[18,175],"in":[19,195],"many":[20],"applications.":[21],"Pixel-based":[22],"CD":[23,36,105,128],"techniques":[24,37],"are":[25,90],"maneuverable":[26],"and":[27,46,63,119,134,165,180,193,207],"used,":[29],"but":[30,49],"vulnerable":[31],"to":[32,56,77,93,125,140,161,176],"noise":[33],"interference.":[34],"Object-based":[35],"can":[38],"effectively":[39],"utilize":[40],"abundant":[42],"spectrum,":[43],"texture,":[44],"shape,":[45],"spatial":[47],"information":[48,86],"easy-to-ignore":[50],"details":[51],"images.":[54],"How":[55],"combine":[57],"advantages":[59],"pixel-based":[61],"methods":[62,65,73],"object-based":[64],"remains":[66],"a":[67,102,120,170,181,196],"challenging":[68],"problem.":[69],"Besides,":[70],"although":[71],"supervised":[72],"have":[74],"capability":[76],"learn":[78],"from":[79],"data,":[80],"true":[82,116],"labels":[83,179],"representing":[84],"changed":[85],"images":[89],"often":[91],"hard":[92],"obtain.":[94],"To":[95],"address":[96],"these":[97],"issues,":[98],"this":[99],"article":[100],"proposes":[101],"novel":[103,182],"semisupervised":[104,197],"framework":[106],"for":[107,151,187],"images,":[110],"which":[111],"employs":[112],"small":[113],"amounts":[114],"labeled":[117,168],"data":[118,124],"lot":[121],"unlabeled":[123],"train":[126],"network.":[129],"A":[130],"bihierarchical":[131],"feature":[132,147,149],"aggregation":[133],"extraction":[135],"network":[136],"(BFAEN)":[137],"is":[138,174,185],"designed":[139,186],"achieve":[141],"pixelwise":[143],"together":[144],"with":[145],"objectwise":[146],"concatenation":[148],"representation":[150],"comprehensive":[153],"utilization":[154],"two-level":[157],"features.":[158],"In":[159],"order":[160],"alleviate":[162],"coarseness":[164],"insufficiency":[166],"samples,":[169],"confident":[171],"learning":[172],"algorithm":[173],"eliminate":[177],"noisy":[178],"loss":[183],"function":[184],"training":[188],"model":[190],"using":[191],"true-":[192],"pseudo-labels":[194],"fashion.":[198],"Experimental":[199],"results":[200],"on":[201],"real":[202],"datasets":[203],"demonstrate":[204],"effectiveness":[206],"superiority":[208],"proposed":[211],"method.":[212]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
