{"id":"https://openalex.org/W4312857444","doi":"https://doi.org/10.1109/igarss46834.2022.9884488","title":"Remote Sensing Image Change Detection Based on Deep Siamese Neural Network with Convolutional Lstm and Channel Attention","display_name":"Remote Sensing Image Change Detection Based on Deep Siamese Neural Network with Convolutional Lstm and Channel Attention","publication_year":2022,"publication_date":"2022-07-17","ids":{"openalex":"https://openalex.org/W4312857444","doi":"https://doi.org/10.1109/igarss46834.2022.9884488"},"language":"en","primary_location":{"id":"doi:10.1109/igarss46834.2022.9884488","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9884488","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100348978","display_name":"Linlin Wang","orcid":"https://orcid.org/0000-0001-9619-2577"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linlin Wang","raw_affiliation_strings":["School of Electronics and Information Engineering, Harbin Institute of Technology,Harbin,China","School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology,Harbin,China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100696425","display_name":"Junping Zhang","orcid":"https://orcid.org/0000-0002-1082-114X"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junping Zhang","raw_affiliation_strings":["School of Electronics and Information Engineering, Harbin Institute of Technology,Harbin,China","School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology,Harbin,China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086637297","display_name":"Qingle Guo","orcid":"https://orcid.org/0000-0002-4028-5579"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingle Guo","raw_affiliation_strings":["School of Electronics and Information Engineering, Harbin Institute of Technology,Harbin,China","School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology,Harbin,China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100414663","display_name":"Jian Liu","orcid":"https://orcid.org/0000-0002-2993-9607"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Liu","raw_affiliation_strings":["School of Electronics and Information Engineering, Harbin Institute of Technology,Harbin,China","School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology,Harbin,China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3227","last_page":"3230"},"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":0.9944000244140625,"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":0.9901999831199646,"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":0.8211976289749146},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7106184959411621},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6781885623931885},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6467574238777161},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6171408891677856},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5620149970054626},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5365927219390869},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5086794495582581},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.5074965357780457},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5030507445335388},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.444267600774765},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.42279040813446045},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.261339396238327},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.06850647926330566},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.055010855197906494}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8211976289749146},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7106184959411621},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6781885623931885},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6467574238777161},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6171408891677856},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5620149970054626},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5365927219390869},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5086794495582581},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.5074965357780457},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5030507445335388},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.444267600774765},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.42279040813446045},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.261339396238327},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.06850647926330566},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.055010855197906494},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss46834.2022.9884488","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9884488","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1485009520","https://openalex.org/W2891248708","https://openalex.org/W2955058313","https://openalex.org/W2984954051","https://openalex.org/W3130754787","https://openalex.org/W4206591456","https://openalex.org/W6628877408","https://openalex.org/W6754663522","https://openalex.org/W6790731625","https://openalex.org/W6806810910"],"related_works":["https://openalex.org/W2568858292","https://openalex.org/W1515964938","https://openalex.org/W2389381914","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3167935049","https://openalex.org/W3029198973"],"abstract_inverted_index":{"With":[0],"the":[1,4,18,41,45,132,137,161],"increase":[2],"in":[3,23],"amount":[5],"of":[6,40,44,115,139],"remote":[7,24],"sensing":[8,25],"images":[9],"(RSIs),":[10],"deep":[11,61],"learning":[12],"(DL)":[13],"has":[14],"been":[15],"used":[16,129],"to":[17,100,110,130],"change":[19,144],"detection":[20],"(CD)":[21],"task":[22],"field":[26],"and":[27,72,80,118,141,156],"achieved":[28],"good":[29],"results.":[30],"However,":[31],"most":[32],"existing":[33],"methods":[34],"do":[35],"not":[36],"take":[37],"full":[38],"advantage":[39],"temporal":[42],"dependence":[43],"multi-temporal":[46,116],"images.":[47],"In":[48],"this":[49],"paper,":[50],"we":[51],"propose":[52],"a":[53,91,105],"novel":[54],"method":[55,163],"for":[56,78],"CD,":[57],"namely":[58],"SNN-LSTM":[59],"(a":[60],"Siamese":[62,95],"neural":[63],"network":[64,92],"(SNN)":[65],"with":[66],"convolutional":[67,96],"Long":[68],"Short-Term":[69],"Memory":[70],"(ConvLSTM)":[71],"channel":[73],"attention":[74],"module":[75],"(CAM)),":[76],"especially":[77],"capturing":[79],"representing":[81],"spatial-temporal":[82],"information":[83,120],"effectively.":[84],"It":[85],"mainly":[86],"contains":[87],"three":[88],"parts.":[89],"First,":[90],"based":[93],"on":[94,150],"architecture":[97],"is":[98,108,121],"designed":[99],"extract":[101],"multi-level":[102,134],"features.":[103],"Then,":[104],"ConvLSTM":[106],"block":[107],"introduced":[109],"further":[111],"obtain":[112],"time":[113],"dependency":[114],"RSIs,":[117],"spatial":[119],"also":[122],"extracted":[123,133],"simultaneously.":[124],"Finally,":[125],"CAM":[126],"blocks":[127],"are":[128,148],"refine":[131],"features,":[135],"enhance":[136],"feature":[138],"changes,":[140],"eventually":[142],"generate":[143],"map.":[145],"The":[146],"experiments":[147],"conducted":[149],"LEVIR-CD":[151],"dataset,":[152],"both":[153],"visual":[154],"results":[155],"quantitative":[157],"assessment":[158],"prove":[159],"that":[160],"proposed":[162],"outperforms":[164],"several":[165],"state-of-the-art":[166],"methods.":[167]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}