{"id":"https://openalex.org/W2902305955","doi":"https://doi.org/10.1109/icpr.2018.8545885","title":"Heterogeneous image change detection using Deep Canonical Correlation Analysis","display_name":"Heterogeneous image change detection using Deep Canonical Correlation Analysis","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2902305955","doi":"https://doi.org/10.1109/icpr.2018.8545885","mag":"2902305955"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2018.8545885","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8545885","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Pattern Recognition (ICPR)","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/A5048153290","display_name":"Jing Yang","orcid":"https://orcid.org/0000-0002-5842-3220"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jing Yang","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067013431","display_name":"Yuan Zhou","orcid":"https://orcid.org/0000-0002-6072-337X"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Zhou","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102759361","display_name":"Ying Cao","orcid":"https://orcid.org/0000-0002-8256-8497"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Cao","raw_affiliation_strings":["Tianjin Branch, China Mobile Communications Corporation, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Tianjin Branch, China Mobile Communications Corporation, Tianjin, China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011683786","display_name":"Liyang Feng","orcid":"https://orcid.org/0000-0003-2152-2759"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liyang Feng","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5048153290"],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":1.6457,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.87399698,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2917","last_page":"2922"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9995999932289124,"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":0.9995999932289124,"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":0.994700014591217,"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/canonical-correlation","display_name":"Canonical correlation","score":0.740681529045105},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6181501150131226},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.5357356071472168},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5314751267433167},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.49039173126220703},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43997034430503845},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4243784546852112},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3636131286621094},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16926759481430054}],"concepts":[{"id":"https://openalex.org/C153874254","wikidata":"https://www.wikidata.org/wiki/Q115542","display_name":"Canonical correlation","level":2,"score":0.740681529045105},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6181501150131226},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.5357356071472168},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5314751267433167},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.49039173126220703},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43997034430503845},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4243784546852112},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3636131286621094},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16926759481430054},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2018.8545885","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8545885","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323993","display_name":"Natural Science Foundation of Tianjin City","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W191923771","https://openalex.org/W604059128","https://openalex.org/W1523385540","https://openalex.org/W1529802850","https://openalex.org/W1531883353","https://openalex.org/W1998595580","https://openalex.org/W2000454085","https://openalex.org/W2025341678","https://openalex.org/W2067441435","https://openalex.org/W2074564551","https://openalex.org/W2079438781","https://openalex.org/W2118116484","https://openalex.org/W2130055251","https://openalex.org/W2145094598","https://openalex.org/W2146954163","https://openalex.org/W2254691124","https://openalex.org/W2527621380","https://openalex.org/W2608434950","https://openalex.org/W2997574889","https://openalex.org/W4237723258","https://openalex.org/W6618493794","https://openalex.org/W6631216910","https://openalex.org/W6631767379","https://openalex.org/W6681096077"],"related_works":["https://openalex.org/W163798150","https://openalex.org/W2809147881","https://openalex.org/W2005185696","https://openalex.org/W2022535874","https://openalex.org/W2608348068","https://openalex.org/W2161229648","https://openalex.org/W2235753890","https://openalex.org/W2979649635","https://openalex.org/W2993674027","https://openalex.org/W2093195256"],"abstract_inverted_index":{"Cross-sensor":[0],"change":[1,14,35,83],"detection":[2,15,36,44,84],"is":[3],"nowadays":[4],"of":[5,53,130],"paramount":[6],"importance":[7],"for":[8],"earth":[9],"observation":[10],"applications.":[11],"Most":[12],"current":[13],"techniques":[16],"are":[17,97,106],"based":[18],"on":[19,65,118],"homogeneous":[20],"input":[21],"images.":[22],"Due":[23],"to":[24,50],"the":[25,93,109,114,119,128,131,136],"detailed":[26],"and":[27,30,104,123],"complementary":[28],"spatial":[29],"spectral":[31],"information,":[32],"heterogeneous":[33,82,95,124],"images":[34,96],"has":[37,58],"become":[38],"an":[39],"active":[40],"research":[41],"topic.":[42],"Change":[43],"models":[45],"need":[46],"effective":[47],"feature":[48],"representations":[49],"estimate":[51],"changes":[52],"interest.":[54],"Although":[55],"great":[56],"progress":[57],"been":[59],"made,":[60],"existing":[61],"approaches":[62],"mainly":[63],"focus":[64],"shallow":[66],"models,":[67],"which":[68],"only":[69],"extracting":[70],"handcrafted":[71],"low-level":[72],"features.":[73],"To":[74],"this":[75,77],"end,":[76],"paper":[78],"proposes":[79],"a":[80,100],"novel":[81],"method":[85,133],"using":[86],"deep":[87,101],"canonical":[88],"correlation":[89],"analysis":[90],"(DCCA).":[91],"Specifically,":[92],"two":[94],"transformed":[98],"via":[99],"neural":[102],"network,":[103],"they":[105],"projected":[107],"in":[108,113],"common":[110],"latent":[111],"space":[112],"output":[115],"layer.":[116],"Experiments":[117],"commonly":[120],"used":[121],"homogenous":[122],"image":[125],"datasets":[126],"demonstrate":[127],"superiority":[129],"proposed":[132],"compared":[134],"with":[135],"traditional":[137],"approaches.":[138]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
