{"id":"https://openalex.org/W3132686929","doi":"https://doi.org/10.1109/igarss39084.2020.9324247","title":"A Deep Generalized Correlation Network for Bitemporal Image Change Detection","display_name":"A Deep Generalized Correlation Network for Bitemporal Image Change Detection","publication_year":2020,"publication_date":"2020-09-26","ids":{"openalex":"https://openalex.org/W3132686929","doi":"https://doi.org/10.1109/igarss39084.2020.9324247","mag":"3132686929"},"language":"en","primary_location":{"id":"doi:10.1109/igarss39084.2020.9324247","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9324247","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/A5101770794","display_name":"Rongfang Wang","orcid":"https://orcid.org/0000-0002-7253-7750"},"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":true,"raw_author_name":"Rongfang Wang","raw_affiliation_strings":["Key Laboratory of Intelligent Perception, Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception, Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100432942","display_name":"Weidong Wang","orcid":"https://orcid.org/0000-0003-1713-7890"},"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":"Weidong Wang","raw_affiliation_strings":["Key Laboratory of Intelligent Perception, Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception, Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100362822","display_name":"Jiawei Chen","orcid":"https://orcid.org/0000-0002-8195-1582"},"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":"Jia-Wei Chen","raw_affiliation_strings":["Key Laboratory of Intelligent Perception, Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception, Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050630882","display_name":"Licheng Jiao","orcid":"https://orcid.org/0000-0003-3354-9617"},"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":"Licheng Jiao","raw_affiliation_strings":["Key Laboratory of Intelligent Perception, Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception, Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069647057","display_name":"Hongxia Hao","orcid":"https://orcid.org/0000-0002-4382-200X"},"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":"Hongxia Hao","raw_affiliation_strings":["School of Computer Science and Technology, Xidian, University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xidian, University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101770794"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32583398,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2547","last_page":"2550"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9991000294685364,"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":0.9991000294685364,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9907000064849854,"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"}},{"id":"https://openalex.org/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9656000137329102,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7584847807884216},{"id":"https://openalex.org/keywords/speckle-pattern","display_name":"Speckle pattern","score":0.6889256238937378},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.688562273979187},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.634708046913147},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5707867741584778},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5687204003334045},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.556563138961792},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5081727504730225},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.45679405331611633},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4515784978866577},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3714812695980072}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7584847807884216},{"id":"https://openalex.org/C102290492","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle pattern","level":2,"score":0.6889256238937378},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.688562273979187},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.634708046913147},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5707867741584778},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5687204003334045},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.556563138961792},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5081727504730225},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.45679405331611633},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4515784978866577},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3714812695980072}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss39084.2020.9324247","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9324247","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":[],"awards":[{"id":"https://openalex.org/G1630076601","display_name":null,"funder_award_id":"61701361,61806154,61801124","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7644293737","display_name":null,"funder_award_id":"IPIU2019006","funder_id":"https://openalex.org/F4320323230","funder_display_name":"Xidian University"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323230","display_name":"Xidian University","ror":"https://ror.org/05s92vm98"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1964967908","https://openalex.org/W2030233108","https://openalex.org/W2127403029","https://openalex.org/W2195857622","https://openalex.org/W2221448138","https://openalex.org/W2342881418","https://openalex.org/W2531619007","https://openalex.org/W2745358476","https://openalex.org/W2901072184","https://openalex.org/W2916438948","https://openalex.org/W2931790542","https://openalex.org/W2952593576","https://openalex.org/W6764639343"],"related_works":["https://openalex.org/W2793402697","https://openalex.org/W2042019967","https://openalex.org/W4391491570","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W2964954556","https://openalex.org/W3103566983","https://openalex.org/W3029198973"],"abstract_inverted_index":{"Recently,":[0],"many":[1],"convolution":[2],"neural":[3,81],"networks":[4,82],"have":[5],"been":[6],"successfully":[7],"employed":[8],"in":[9,47],"bitemporal":[10,58,65,119],"SAR":[11,59,66,120],"image":[12,33],"change":[13],"detection.":[14],"However,":[15],"most":[16],"methods":[17,110],"are":[18,72,83,94],"developed":[19],"based":[20],"on":[21,115],"the":[22,27,40,62,75,91,97,103,113],"traditional":[23],"framework":[24],"that":[25,35,126],"exploits":[26],"changed":[28,92],"region":[29],"from":[30],"a":[31,52],"difference":[32],"(DI)":[34],"is":[36],"usually":[37],"subject":[38],"to":[39,85],"speckle.":[41],"To":[42],"essentially":[43],"solve":[44],"this":[45,48],"issue,":[46],"paper,":[49],"we":[50,101],"propose":[51],"deep":[53,80,108],"canonic":[54],"correlation":[55],"network":[56],"for":[57],"image.":[60],"In":[61],"proposed":[63,104,128],"network,":[64],"images":[67],"and":[68,77,111],"its":[69],"corresponding":[70],"DI":[71],"taken":[73],"as":[74],"inputs":[76],"then":[78],"three":[79],"designed":[84],"employ":[86],"their":[87],"features,":[88],"respectively.":[89],"Then":[90],"regions":[93],"obtained":[95],"by":[96],"exploited":[98],"features.":[99],"Finally,":[100],"compare":[102],"method":[105,129],"with":[106],"other":[107,131],"learning":[109],"perform":[112],"comparison":[114],"four":[116],"sets":[117],"of":[118],"images.":[121],"The":[122],"experimental":[123],"results":[124],"show":[125],"our":[127],"outperforms":[130],"methods.":[132]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}