{"id":"https://openalex.org/W2892059457","doi":"https://doi.org/10.1109/tgrs.2018.2865961","title":"An Illumination-Invariant Change Detection Method Based on Disparity Saliency Map for Multitemporal Optical Remotely Sensed Images","display_name":"An Illumination-Invariant Change Detection Method Based on Disparity Saliency Map for Multitemporal Optical Remotely Sensed Images","publication_year":2018,"publication_date":"2018-09-14","ids":{"openalex":"https://openalex.org/W2892059457","doi":"https://doi.org/10.1109/tgrs.2018.2865961","mag":"2892059457"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2018.2865961","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2018.2865961","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","raw_type":"journal-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/A5102796596","display_name":"Xue Wan","orcid":"https://orcid.org/0000-0002-0659-2559"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210086028","display_name":"Technology and Engineering Center for Space Utilization","ror":"https://ror.org/00cn03n83","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210086028"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xue Wan","raw_affiliation_strings":["Key Laboratory of Space Utilization, Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0659-2559","affiliations":[{"raw_affiliation_string":"Key Laboratory of Space Utilization, Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210086028"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030727488","display_name":"Jian Guo Liu","orcid":"https://orcid.org/0000-0002-3090-0152"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jianguo Liu","raw_affiliation_strings":["Earth Science and Engineering Department, Imperial College London, London, U.K"],"raw_orcid":"https://orcid.org/0000-0002-3090-0152","affiliations":[{"raw_affiliation_string":"Earth Science and Engineering Department, Imperial College London, London, U.K","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111003697","display_name":"Shengyang Li","orcid":"https://orcid.org/0000-0002-9888-9869"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210086028","display_name":"Technology and Engineering Center for Space Utilization","ror":"https://ror.org/00cn03n83","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210086028"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengyang Li","raw_affiliation_strings":["Key Laboratory of Space Utilization, Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Space Utilization, Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210086028"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103036793","display_name":"John Dawson","orcid":"https://orcid.org/0000-0001-8953-9288"},"institutions":[{"id":"https://openalex.org/I1339065421","display_name":"Defence Science and Technology Laboratory","ror":"https://ror.org/04jswqb94","country_code":"GB","type":"government","lineage":["https://openalex.org/I1306956679","https://openalex.org/I1339065421","https://openalex.org/I2802373619"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"John Dawson","raw_affiliation_strings":["Defence Science and Technology Laboratory, Porton Down, U.K"],"raw_orcid":"https://orcid.org/0000-0001-8953-9288","affiliations":[{"raw_affiliation_string":"Defence Science and Technology Laboratory, Porton Down, U.K","institution_ids":["https://openalex.org/I1339065421"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113850451","display_name":"Hongshi Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I130198913","display_name":"Jaguar Land Rover (United Kingdom)","ror":"https://ror.org/03b66v461","country_code":"GB","type":"company","lineage":["https://openalex.org/I130198913"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Hongshi Yan","raw_affiliation_strings":["Research Department, Jaguar Land Rover Limited, Warwick, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Department, Jaguar Land Rover Limited, Warwick, U.K","institution_ids":["https://openalex.org/I130198913"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":1.6848,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.86430754,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"57","issue":"3","first_page":"1311","last_page":"1324"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9912999868392944,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9882000088691711,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7081753015518188},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.6984797120094299},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6548186540603638},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6328458189964294},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6276684403419495},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5839834213256836},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5619987845420837},{"id":"https://openalex.org/keywords/shadow","display_name":"Shadow (psychology)","score":0.46870583295822144},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4653843939304352},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.4577263295650482},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.42548099160194397},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3821907639503479},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19778695702552795},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.18064424395561218}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7081753015518188},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.6984797120094299},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6548186540603638},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6328458189964294},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6276684403419495},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5839834213256836},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5619987845420837},{"id":"https://openalex.org/C117797892","wikidata":"https://www.wikidata.org/wiki/Q286363","display_name":"Shadow (psychology)","level":2,"score":0.46870583295822144},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4653843939304352},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.4577263295650482},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.42548099160194397},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3821907639503479},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19778695702552795},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.18064424395561218},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2018.2865961","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2018.2865961","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","score":0.5,"id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306101","display_name":"National Aeronautics and Space Administration","ror":"https://ror.org/027ka1x80"},{"id":"https://openalex.org/F4320337380","display_name":"Division of Mathematical Sciences","ror":"https://ror.org/051fftw81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W574967802","https://openalex.org/W1512692135","https://openalex.org/W1520822062","https://openalex.org/W1577625451","https://openalex.org/W1626361392","https://openalex.org/W1737503696","https://openalex.org/W1848463583","https://openalex.org/W1965217701","https://openalex.org/W1969834758","https://openalex.org/W1971307900","https://openalex.org/W1986316608","https://openalex.org/W2007774399","https://openalex.org/W2019182500","https://openalex.org/W2025215020","https://openalex.org/W2030213594","https://openalex.org/W2030320804","https://openalex.org/W2046339565","https://openalex.org/W2049585214","https://openalex.org/W2058333183","https://openalex.org/W2059080117","https://openalex.org/W2075357105","https://openalex.org/W2087871426","https://openalex.org/W2096217453","https://openalex.org/W2096395675","https://openalex.org/W2098951409","https://openalex.org/W2100176513","https://openalex.org/W2104095591","https://openalex.org/W2113296753","https://openalex.org/W2113972550","https://openalex.org/W2116040950","https://openalex.org/W2125593672","https://openalex.org/W2128272608","https://openalex.org/W2135369243","https://openalex.org/W2135957164","https://openalex.org/W2144133758","https://openalex.org/W2144788356","https://openalex.org/W2149792312","https://openalex.org/W2156387284","https://openalex.org/W2157100165","https://openalex.org/W2158453800","https://openalex.org/W2159332398","https://openalex.org/W2161001197","https://openalex.org/W2164956021","https://openalex.org/W2170140722","https://openalex.org/W2294035976","https://openalex.org/W2468801144","https://openalex.org/W2530415363","https://openalex.org/W2725471503","https://openalex.org/W2766372927","https://openalex.org/W2775148801","https://openalex.org/W2804528682","https://openalex.org/W6631012428","https://openalex.org/W6636513048","https://openalex.org/W6680437723","https://openalex.org/W6683310923","https://openalex.org/W6740211997"],"related_works":["https://openalex.org/W2568858292","https://openalex.org/W2893218741","https://openalex.org/W1515964938","https://openalex.org/W2389381914","https://openalex.org/W2558319350","https://openalex.org/W1492594177","https://openalex.org/W1842742976","https://openalex.org/W2803235238","https://openalex.org/W399661440","https://openalex.org/W410356389"],"abstract_inverted_index":{"Multitemporal":[0],"airborne":[1],"and":[2,38,57,94,152,165,172],"satellite":[3,154],"imagery":[4],"data":[5],"with":[6],"frequent":[7],"repeat":[8],"coverage":[9],"provide":[10],"great":[11],"capability":[12],"for":[13,31,122],"change":[14,43,98,136],"detection":[15,62,99],"(CD).":[16],"When":[17],"comparing":[18],"two":[19],"images":[20,147,155],"taken":[21],"at":[22],"different":[23,29],"times":[24],"of":[25,35,44,82,148],"day":[26],"or":[27],"in":[28],"seasons":[30],"CD,":[32],"the":[33,42,54,74,80,111,123,135,140,159],"variation":[34],"topographic":[36],"shades":[37],"shadows":[39],"caused":[40],"by":[41,127],"sunlight":[45,174],"angle":[46],"can":[47,162],"be":[48,71],"so":[49],"significant":[50],"that":[51,157],"it":[52],"overwhelms":[53],"real":[55],"object":[56],"environmental":[58],"changes,":[59],"making":[60],"automatic":[61],"unreliable.":[63],"An":[64],"effective":[65],"CD":[66,125,142],"algorithm,":[67],"therefore,":[68],"has":[69],"to":[70,73,86,132,139],"robust":[72],"illumination":[75],"variation.":[76],"In":[77,110],"this":[78],"paper,":[79],"robustness":[81],"phase":[83],"correlation":[84],"(PC)":[85],"shadow":[87],"effects":[88],"is":[89,102,120],"proven":[90],"via":[91],"mathematical":[92],"analysis,":[93],"then,":[95],"an":[96,128],"illumination-invariant":[97],"(IICD)":[100],"metric":[101],"proposed":[103,112,160],"based":[104],"on":[105],"pixel-wise":[106],"dense":[107],"PC":[108],"matching.":[109],"IICD":[113],"method,":[114],"a":[115,149],"graph-based":[116],"visual":[117],"saliency":[118],"map":[119],"introduced":[121],"initial":[124],"followed":[126],"active":[129],"contour-based":[130],"segmentation":[131],"precisely":[133,166],"quantize":[134],"region.":[137],"Compared":[138],"state-of-the-art":[141],"algorithms,":[143],"experiments":[144],"using":[145],"daily":[146,171],"landscape":[150],"model":[151],"Landsat":[153],"demonstrate":[156],"only":[158],"method":[161],"effectively":[163],"detect":[164],"segment":[167],"appearance":[168],"changes":[169],"under":[170],"seasonal":[173],"changes.":[175]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":2}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}