{"id":"https://openalex.org/W3130530888","doi":"https://doi.org/10.1109/igarss39084.2020.9323857","title":"Building Change Detection Using Modified Siamese Neural Networks","display_name":"Building Change Detection Using Modified Siamese Neural Networks","publication_year":2020,"publication_date":"2020-09-26","ids":{"openalex":"https://openalex.org/W3130530888","doi":"https://doi.org/10.1109/igarss39084.2020.9323857","mag":"3130530888"},"language":"en","primary_location":{"id":"doi:10.1109/igarss39084.2020.9323857","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9323857","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-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/A5051040196","display_name":"Sol Cummings","orcid":"https://orcid.org/0000-0002-9985-9274"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sol Cummings","raw_affiliation_strings":["PASCO CORPORATION"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PASCO CORPORATION","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008178871","display_name":"S. Nakamura","orcid":"https://orcid.org/0000-0002-5709-2298"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sho Nakamura","raw_affiliation_strings":["PASCO CORPORATION"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PASCO CORPORATION","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042171438","display_name":"Yasunobu Shimazaki","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yasunobu Shimazaki","raw_affiliation_strings":["PASCO CORPORATION"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PASCO CORPORATION","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3826,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.70229942,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"672","last_page":"675"},"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9760000109672546,"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"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9688000082969666,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/concatenation","display_name":"Concatenation (mathematics)","score":0.9702723622322083},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.8218003511428833},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7746304869651794},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6547084450721741},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6511590480804443},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6427616477012634},{"id":"https://openalex.org/keywords/combing","display_name":"Combing","score":0.6055920124053955},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5614076256752014},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5549611449241638},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5419647693634033},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5397592186927795},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5181944966316223},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.5030350089073181},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11091172695159912},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.07329362630844116},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.06591242551803589},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06284800171852112}],"concepts":[{"id":"https://openalex.org/C87619178","wikidata":"https://www.wikidata.org/wiki/Q126002","display_name":"Concatenation (mathematics)","level":2,"score":0.9702723622322083},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.8218003511428833},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7746304869651794},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6547084450721741},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6511590480804443},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6427616477012634},{"id":"https://openalex.org/C2778952367","wikidata":"https://www.wikidata.org/wiki/Q3491532","display_name":"Combing","level":2,"score":0.6055920124053955},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5614076256752014},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5549611449241638},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5419647693634033},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5397592186927795},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5181944966316223},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.5030350089073181},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11091172695159912},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.07329362630844116},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.06591242551803589},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06284800171852112},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","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},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","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":1,"locations":[{"id":"doi:10.1109/igarss39084.2020.9323857","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9323857","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320311508","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1955055330","https://openalex.org/W2109759383","https://openalex.org/W2127589108","https://openalex.org/W2157364932","https://openalex.org/W2194775991","https://openalex.org/W2752782242","https://openalex.org/W2901835867","https://openalex.org/W2963420686","https://openalex.org/W2984750311"],"related_works":["https://openalex.org/W2382950503","https://openalex.org/W2374316087","https://openalex.org/W2351264995","https://openalex.org/W2359486762","https://openalex.org/W2374605473","https://openalex.org/W2366644843","https://openalex.org/W2010977033","https://openalex.org/W2206164647","https://openalex.org/W2887741674","https://openalex.org/W2063145683"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"deep":[3,37],"learning":[4,38],"has":[5],"emerged":[6],"as":[7],"an":[8],"effective":[9,50],"tool":[10],"for":[11,84],"analyzing":[12],"remote":[13],"sensing":[14],"imagery.":[15],"One":[16],"such":[17],"application":[18],"is":[19],"change":[20,41],"detection,":[21],"where":[22],"locations":[23],"that":[24,76],"have":[25],"changed":[26],"over":[27],"time":[28],"must":[29],"be":[30],"identified.":[31],"This":[32],"work":[33],"improves":[34],"upon":[35],"previous":[36],"methods":[39],"of":[40,54,70,94,98,107,114],"detection":[42],"in":[43,57,117],"buildings":[44],"by":[45],"adding":[46],"a":[47],"simple":[48],"yet":[49],"module":[51,68],"after":[52,110],"concatenation":[53,97],"feature":[55,99],"maps":[56,100],"Siamese":[58,118],"Neural":[59,119],"Networks.":[60,120],"Named":[61],"the":[62,67,85,92,105,112,115],"Post":[63],"Concatenation":[64],"Module":[65],"(PCM),":[66],"comprises":[69],"convolution,":[71],"activation,":[72],"and":[73],"normalization":[74],"layers":[75],"increase":[77],"AUC":[78,102],"values":[79],"up":[80],"to":[81],"1.5":[82],"points":[83],"task":[86],"at":[87],"hand.":[88],"Furthermore,":[89],"experiments":[90],"demonstrate":[91],"addition":[93],"operations":[95,109],"before":[96],"decreases":[101],"values,":[103],"signifying":[104],"importance":[106],"introducing":[108],"combing":[111],"features":[113],"inputs":[116]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}