{"id":"https://openalex.org/W2969081030","doi":"https://doi.org/10.1109/tip.2019.2933747","title":"Multimodal Change Detection in Remote Sensing Images Using an Unsupervised Pixel Pairwise-Based Markov Random Field Model","display_name":"Multimodal Change Detection in Remote Sensing Images Using an Unsupervised Pixel Pairwise-Based Markov Random Field Model","publication_year":2019,"publication_date":"2019-08-13","ids":{"openalex":"https://openalex.org/W2969081030","doi":"https://doi.org/10.1109/tip.2019.2933747","mag":"2969081030","pmid":"https://pubmed.ncbi.nlm.nih.gov/31425034"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2019.2933747","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2019.2933747","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5055272714","display_name":"Redha Touati","orcid":"https://orcid.org/0000-0003-3845-5361"},"institutions":[{"id":"https://openalex.org/I70931966","display_name":"Universit\u00e9 de Montr\u00e9al","ror":"https://ror.org/0161xgx34","country_code":"CA","type":"education","lineage":["https://openalex.org/I70931966"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Redha Touati","raw_affiliation_strings":["Vision Laboratory,, Facult\u00e9 des Arts et des Sciences, Universit\u00e9 de Montr\u00e9al, Montr\u00e9al, QC, Canada","D\u00e9partement d\u2019Informatique et de Recherche Op\u00e9rationnelle (DIRO), Vision Laboratory, Facult\u00e9 des Arts et des Sciences, Universit\u00e9 de Montr\u00e9al, Montr\u00e9al, Canada"],"affiliations":[{"raw_affiliation_string":"Vision Laboratory,, Facult\u00e9 des Arts et des Sciences, Universit\u00e9 de Montr\u00e9al, Montr\u00e9al, QC, Canada","institution_ids":["https://openalex.org/I70931966"]},{"raw_affiliation_string":"D\u00e9partement d\u2019Informatique et de Recherche Op\u00e9rationnelle (DIRO), Vision Laboratory, Facult\u00e9 des Arts et des Sciences, Universit\u00e9 de Montr\u00e9al, Montr\u00e9al, Canada","institution_ids":["https://openalex.org/I70931966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086260354","display_name":"Max Mignotte","orcid":"https://orcid.org/0000-0002-8592-6472"},"institutions":[{"id":"https://openalex.org/I70931966","display_name":"Universit\u00e9 de Montr\u00e9al","ror":"https://ror.org/0161xgx34","country_code":"CA","type":"education","lineage":["https://openalex.org/I70931966"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Max Mignotte","raw_affiliation_strings":["Vision Laboratory,, Facult\u00e9 des Arts et des Sciences, Universit\u00e9 de Montr\u00e9al, Montr\u00e9al, QC, Canada","D\u00e9partement d\u2019Informatique et de Recherche Op\u00e9rationnelle (DIRO), Vision Laboratory, Facult\u00e9 des Arts et des Sciences, Universit\u00e9 de Montr\u00e9al, Montr\u00e9al, Canada"],"affiliations":[{"raw_affiliation_string":"Vision Laboratory,, Facult\u00e9 des Arts et des Sciences, Universit\u00e9 de Montr\u00e9al, Montr\u00e9al, QC, Canada","institution_ids":["https://openalex.org/I70931966"]},{"raw_affiliation_string":"D\u00e9partement d\u2019Informatique et de Recherche Op\u00e9rationnelle (DIRO), Vision Laboratory, Facult\u00e9 des Arts et des Sciences, Universit\u00e9 de Montr\u00e9al, Montr\u00e9al, Canada","institution_ids":["https://openalex.org/I70931966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041988598","display_name":"Mohamed Dahmane","orcid":"https://orcid.org/0000-0002-2670-1433"},"institutions":[{"id":"https://openalex.org/I4210111842","display_name":"Computer Research Institute of Montr\u00e9al","ror":"https://ror.org/0279d5115","country_code":"CA","type":"nonprofit","lineage":["https://openalex.org/I4210111842"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mohamed Dahmane","raw_affiliation_strings":["Research and Development Vision D\u00e9partement, Centre de Recherche Informatique de Montr\u00e9al (CRIM), Montr\u00e9al, QC, Canada","Research and Development Vision D\u00e9partement, Centre de Recherche Informatique de Montr\u00e9al (CRIM), Montr\u00e9al, Canada"],"affiliations":[{"raw_affiliation_string":"Research and Development Vision D\u00e9partement, Centre de Recherche Informatique de Montr\u00e9al (CRIM), Montr\u00e9al, QC, Canada","institution_ids":["https://openalex.org/I4210111842"]},{"raw_affiliation_string":"Research and Development Vision D\u00e9partement, Centre de Recherche Informatique de Montr\u00e9al (CRIM), Montr\u00e9al, Canada","institution_ids":["https://openalex.org/I4210111842"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5055272714"],"corresponding_institution_ids":["https://openalex.org/I70931966"],"apc_list":null,"apc_paid":null,"fwci":9.79,"has_fulltext":false,"cited_by_count":167,"citation_normalized_percentile":{"value":0.98181921,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"29","issue":null,"first_page":"757","last_page":"767"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9972000122070312,"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":0.9972000122070312,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9749000072479248,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9625999927520752,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.7382246255874634},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.7178086042404175},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.6289207935333252},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6066597700119019},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5881186723709106},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5583269596099854},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5432367324829102},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.5102651119232178},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47078460454940796},{"id":"https://openalex.org/keywords/random-field","display_name":"Random field","score":0.44193220138549805},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.3608347177505493},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34738534688949585},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32086265087127686},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.24857497215270996},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.1531638205051422},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12694934010505676}],"concepts":[{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.7382246255874634},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.7178086042404175},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.6289207935333252},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6066597700119019},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5881186723709106},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5583269596099854},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5432367324829102},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.5102651119232178},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47078460454940796},{"id":"https://openalex.org/C130402806","wikidata":"https://www.wikidata.org/wiki/Q5361768","display_name":"Random field","level":2,"score":0.44193220138549805},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.3608347177505493},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34738534688949585},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32086265087127686},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.24857497215270996},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.1531638205051422},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12694934010505676},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2019.2933747","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2019.2933747","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:31425034","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31425034","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1539811621","https://openalex.org/W1554544485","https://openalex.org/W1601139921","https://openalex.org/W1702904403","https://openalex.org/W1971180200","https://openalex.org/W1986905442","https://openalex.org/W1997534118","https://openalex.org/W2000454085","https://openalex.org/W2001140770","https://openalex.org/W2022225476","https://openalex.org/W2035285838","https://openalex.org/W2049633694","https://openalex.org/W2054085770","https://openalex.org/W2062193681","https://openalex.org/W2067788234","https://openalex.org/W2079438781","https://openalex.org/W2085318923","https://openalex.org/W2086360377","https://openalex.org/W2088392889","https://openalex.org/W2094202665","https://openalex.org/W2104351284","https://openalex.org/W2104590050","https://openalex.org/W2111787810","https://openalex.org/W2119261592","https://openalex.org/W2119879121","https://openalex.org/W2125339602","https://openalex.org/W2134969826","https://openalex.org/W2135228726","https://openalex.org/W2146865307","https://openalex.org/W2146954163","https://openalex.org/W2166052353","https://openalex.org/W2166508941","https://openalex.org/W2167565526","https://openalex.org/W2197175232","https://openalex.org/W2295862745","https://openalex.org/W2497075055","https://openalex.org/W2514759701","https://openalex.org/W2564140372","https://openalex.org/W2592506603","https://openalex.org/W2624146161","https://openalex.org/W2766372927","https://openalex.org/W2779571083","https://openalex.org/W2790433324","https://openalex.org/W2892203832","https://openalex.org/W4236273236","https://openalex.org/W6687410183"],"related_works":["https://openalex.org/W2097090565","https://openalex.org/W2008444830","https://openalex.org/W2804375118","https://openalex.org/W2112506753","https://openalex.org/W2029809897","https://openalex.org/W2132110568","https://openalex.org/W2160831725","https://openalex.org/W1495937069","https://openalex.org/W2067164137","https://openalex.org/W1522441193"],"abstract_inverted_index":{"This":[0],"work":[1],"presents":[2],"a":[3,50,70,94,102,137,156,165],"Bayesian":[4],"statistical":[5],"approach":[6],"to":[7,66,81],"the":[8,22,27,35,41,56,75,82,111,114,117,122,125,135,142,148,174,177],"multimodal":[9,23],"change":[10,143],"detection":[11,144],"(CD)":[12],"problem":[13,25],"in":[14,26,40,116],"remote":[15],"sensing":[16],"imagery.":[17],"More":[18],"precisely,":[19],"we":[20,98],"formulate":[21],"CD":[24],"unsupervised":[28],"Markovian":[29,37,126],"framework.":[30],"The":[31],"main":[32],"novelty":[33],"of":[34,43,78,93,113,124,141,167,170,176],"proposed":[36,178],"model":[38],"lies":[39],"use":[42,87],"an":[44],"observation":[45,89],"field":[46],"built":[47],"up":[48],"from":[49],"pixel":[51],"pairwise":[52],"modeling":[53,63],"and":[54,120,162],"on":[55,69,101,147],"bitemporal":[57],"heterogeneous":[58],"satellite":[59],"image":[60],"pair.":[61],"Such":[62],"allows":[64],"us":[65],"rely":[67,100],"instead":[68],"robust":[71],"visual":[72],"cue,":[73],"with":[74,155],"appealing":[76],"property":[77],"being":[79],"quasi-invariant":[80],"imaging":[83,171],"(multi-)":[84],"modality.":[85],"To":[86],"this":[88,130],"cue":[90],"as":[91],"part":[92],"stochastic":[95,157],"likelihood":[96],"model,":[97],"first":[99],"preliminary":[103],"iterative":[104],"estimation":[105,131],"technique":[106],"that":[107],"takes":[108],"into":[109],"account":[110],"variety":[112],"laws":[115],"distribution":[118],"mixture":[119,127,166],"estimates":[121],"parameters":[123],"model.":[128],"Once":[129],"step":[132],"is":[133,152],"completed,":[134],"Maximum":[136],"posteriori":[138],"(MAP)":[139],"solution":[140],"map,":[145],"based":[146],"previously":[149],"estimated":[150],"parameters,":[151],"then":[153],"computed":[154],"optimization":[158],"process.":[159],"Experimental":[160],"results":[161],"comparisons":[163],"involving":[164],"different":[168],"types":[169],"modalities":[172],"confirm":[173],"robustness":[175],"approach.":[179]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":36},{"year":2024,"cited_by_count":43},{"year":2023,"cited_by_count":26},{"year":2022,"cited_by_count":25},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":16}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}
