{"id":"https://openalex.org/W4307807504","doi":"https://doi.org/10.1109/icip46576.2022.9898062","title":"Satellite Image Change Detection Using Disjoint Information and Local Dissimilarity Map","display_name":"Satellite Image Change Detection Using Disjoint Information and Local Dissimilarity Map","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4307807504","doi":"https://doi.org/10.1109/icip46576.2022.9898062"},"language":"en","primary_location":{"id":"doi:10.1109/icip46576.2022.9898062","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9898062","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5014113294","display_name":"Moustapha Diaw","orcid":"https://orcid.org/0000-0003-1905-0051"},"institutions":[{"id":"https://openalex.org/I4210100943","display_name":"Centre de Recherche en Sciences et Technologies de l'Information et de la Communication","ror":"https://ror.org/016wdna72","country_code":"FR","type":"facility","lineage":["https://openalex.org/I154526488","https://openalex.org/I4210100943","https://openalex.org/I4210141980","https://openalex.org/I96226040"]},{"id":"https://openalex.org/I96226040","display_name":"Universit\u00e9 de Reims Champagne-Ardenne","ror":"https://ror.org/03hypw319","country_code":"FR","type":"education","lineage":["https://openalex.org/I96226040"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Moustapha Diaw","raw_affiliation_strings":["University of Reims Champagne-Ardenne, IUT,CReSTIC, EA 3804,Troyes,France","CRESTIC - Centre de Recherche en Sciences et Technologies de l'Information et de la Communication - EA 3804 (UFR Sciences Exactes et Naturelles, Moulin de la Housse, BP 1039, 51687 Reims CEDEX 2, FRANCE - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Reims Champagne-Ardenne, IUT,CReSTIC, EA 3804,Troyes,France","institution_ids":["https://openalex.org/I96226040"]},{"raw_affiliation_string":"CRESTIC - Centre de Recherche en Sciences et Technologies de l'Information et de la Communication - EA 3804 (UFR Sciences Exactes et Naturelles, Moulin de la Housse, BP 1039, 51687 Reims CEDEX 2, FRANCE - France)","institution_ids":["https://openalex.org/I4210100943"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086431959","display_name":"J\u00e9r\u00f4me Landr\u00e9","orcid":"https://orcid.org/0000-0002-9999-9197"},"institutions":[{"id":"https://openalex.org/I4210100943","display_name":"Centre de Recherche en Sciences et Technologies de l'Information et de la Communication","ror":"https://ror.org/016wdna72","country_code":"FR","type":"facility","lineage":["https://openalex.org/I154526488","https://openalex.org/I4210100943","https://openalex.org/I4210141980","https://openalex.org/I96226040"]},{"id":"https://openalex.org/I96226040","display_name":"Universit\u00e9 de Reims Champagne-Ardenne","ror":"https://ror.org/03hypw319","country_code":"FR","type":"education","lineage":["https://openalex.org/I96226040"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jerome Landre","raw_affiliation_strings":["University of Reims Champagne-Ardenne, IUT,CReSTIC, EA 3804,Troyes,France","CRESTIC - Centre de Recherche en Sciences et Technologies de l'Information et de la Communication - EA 3804 (UFR Sciences Exactes et Naturelles, Moulin de la Housse, BP 1039, 51687 Reims CEDEX 2, FRANCE - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Reims Champagne-Ardenne, IUT,CReSTIC, EA 3804,Troyes,France","institution_ids":["https://openalex.org/I96226040"]},{"raw_affiliation_string":"CRESTIC - Centre de Recherche en Sciences et Technologies de l'Information et de la Communication - EA 3804 (UFR Sciences Exactes et Naturelles, Moulin de la Housse, BP 1039, 51687 Reims CEDEX 2, FRANCE - France)","institution_ids":["https://openalex.org/I4210100943"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057074950","display_name":"Agn\u00e8s Delahaies","orcid":"https://orcid.org/0000-0003-3657-798X"},"institutions":[{"id":"https://openalex.org/I4210100943","display_name":"Centre de Recherche en Sciences et Technologies de l'Information et de la Communication","ror":"https://ror.org/016wdna72","country_code":"FR","type":"facility","lineage":["https://openalex.org/I154526488","https://openalex.org/I4210100943","https://openalex.org/I4210141980","https://openalex.org/I96226040"]},{"id":"https://openalex.org/I96226040","display_name":"Universit\u00e9 de Reims Champagne-Ardenne","ror":"https://ror.org/03hypw319","country_code":"FR","type":"education","lineage":["https://openalex.org/I96226040"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Agnes Delahaies","raw_affiliation_strings":["University of Reims Champagne-Ardenne, IUT,CReSTIC, EA 3804,Troyes,France","CRESTIC - Centre de Recherche en Sciences et Technologies de l'Information et de la Communication - EA 3804 (UFR Sciences Exactes et Naturelles, Moulin de la Housse, BP 1039, 51687 Reims CEDEX 2, FRANCE - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Reims Champagne-Ardenne, IUT,CReSTIC, EA 3804,Troyes,France","institution_ids":["https://openalex.org/I96226040"]},{"raw_affiliation_string":"CRESTIC - Centre de Recherche en Sciences et Technologies de l'Information et de la Communication - EA 3804 (UFR Sciences Exactes et Naturelles, Moulin de la Housse, BP 1039, 51687 Reims CEDEX 2, FRANCE - France)","institution_ids":["https://openalex.org/I4210100943"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058613304","display_name":"Fr\u00e9d\u00e9ric Morain-Nicolier","orcid":"https://orcid.org/0000-0003-0989-1068"},"institutions":[{"id":"https://openalex.org/I4210100943","display_name":"Centre de Recherche en Sciences et Technologies de l'Information et de la Communication","ror":"https://ror.org/016wdna72","country_code":"FR","type":"facility","lineage":["https://openalex.org/I154526488","https://openalex.org/I4210100943","https://openalex.org/I4210141980","https://openalex.org/I96226040"]},{"id":"https://openalex.org/I96226040","display_name":"Universit\u00e9 de Reims Champagne-Ardenne","ror":"https://ror.org/03hypw319","country_code":"FR","type":"education","lineage":["https://openalex.org/I96226040"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Frederic Morain-Nicolier","raw_affiliation_strings":["University of Reims Champagne-Ardenne, IUT,CReSTIC, EA 3804,Troyes,France","CRESTIC - Centre de Recherche en Sciences et Technologies de l'Information et de la Communication - EA 3804 (UFR Sciences Exactes et Naturelles, Moulin de la Housse, BP 1039, 51687 Reims CEDEX 2, FRANCE - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Reims Champagne-Ardenne, IUT,CReSTIC, EA 3804,Troyes,France","institution_ids":["https://openalex.org/I96226040"]},{"raw_affiliation_string":"CRESTIC - Centre de Recherche en Sciences et Technologies de l'Information et de la Communication - EA 3804 (UFR Sciences Exactes et Naturelles, Moulin de la Housse, BP 1039, 51687 Reims CEDEX 2, FRANCE - France)","institution_ids":["https://openalex.org/I4210100943"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066992369","display_name":"Florent Retraint","orcid":"https://orcid.org/0000-0001-9273-4260"},"institutions":[{"id":"https://openalex.org/I140494188","display_name":"Universit\u00e9 de Technologie de Troyes","ror":"https://ror.org/01qhqcj41","country_code":"FR","type":"education","lineage":["https://openalex.org/I140494188"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Florent Retraint","raw_affiliation_strings":["University of Technology of Troyes, UTT,LIST3N,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Technology of Troyes, UTT,LIST3N,France","institution_ids":["https://openalex.org/I140494188"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3562,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.53566772,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"3","issue":null,"first_page":"36","last_page":"40"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9815000295639038,"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"}},{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9812999963760376,"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/disjoint-sets","display_name":"Disjoint sets","score":0.7959869503974915},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7278237342834473},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.6860350966453552},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6567926406860352},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6183497309684753},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5846885442733765},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5498969554901123},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.4515381157398224},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4190065860748291},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4149947166442871},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24739956855773926}],"concepts":[{"id":"https://openalex.org/C45340560","wikidata":"https://www.wikidata.org/wiki/Q215382","display_name":"Disjoint sets","level":2,"score":0.7959869503974915},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7278237342834473},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.6860350966453552},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6567926406860352},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6183497309684753},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5846885442733765},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5498969554901123},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4515381157398224},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4190065860748291},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4149947166442871},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24739956855773926},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip46576.2022.9898062","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9898062","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-03825173v1","is_oa":false,"landing_page_url":"https://hal.science/hal-03825173","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE International Conference on Image Processing (ICIP), 2022, Bordeaux, France. pp.36-40, ⟨10.1109/ICIP46576.2022.9898062⟩","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1480080324","https://openalex.org/W1968161371","https://openalex.org/W1971893304","https://openalex.org/W1988631016","https://openalex.org/W2054520301","https://openalex.org/W2490520343","https://openalex.org/W2546302380","https://openalex.org/W2548582196","https://openalex.org/W2564140372","https://openalex.org/W2751993439","https://openalex.org/W2891248708","https://openalex.org/W2896365540","https://openalex.org/W2945760133","https://openalex.org/W3012456963","https://openalex.org/W3021083751","https://openalex.org/W4205383917","https://openalex.org/W4300906944","https://openalex.org/W6628868078"],"related_works":["https://openalex.org/W4256429076","https://openalex.org/W1971174658","https://openalex.org/W2099195351","https://openalex.org/W2568858292","https://openalex.org/W1515964938","https://openalex.org/W2348092930","https://openalex.org/W2012063272","https://openalex.org/W2389381914","https://openalex.org/W2138685729","https://openalex.org/W2188987556"],"abstract_inverted_index":{"This":[0,36],"paper":[1],"presents":[2],"a":[3],"new":[4],"change":[5,34],"detection":[6],"technique":[7,37],"for":[8,33],"images":[9,26],"taken":[10],"from":[11],"the":[12,23,44,48,56,61,71,77,80,85,90,94,100,105,109,112,116,126,140,149,157],"sentinel-2":[13],"satellite":[14],"between":[15,58,66],"2015":[16],"and":[17,47,60,84,108],"2018":[18],"in":[19,30,135],"different":[20],"regions":[21],"of":[22,68,79,93,96,111,125,151],"world.":[24],"These":[25],"are":[27,120],"widely":[28],"used":[29,131],"recent":[31],"years":[32],"detection.":[35],"is":[38,74,87,130],"based":[39],"on":[40,115,139],"two":[41],"dissimilarity":[42],"measures:":[43],"Disjoint":[45],"Information":[46],"Local":[49,62,101,117],"Dissimilarity":[50,63,102,118],"Map.":[51],"The":[52],"disjoint":[53,72],"information":[54,73],"quantifies":[55],"dissimilarities":[57],"textures":[59],"Map":[64],"those":[65],"structures":[67],"images.":[69,136],"Firstly,":[70],"computed":[75],"across":[76],"blocks":[78],"RGB":[81],"image":[82],"channels":[83,107],"value":[86,92],"multiplied":[88],"by":[89],"center":[91],"pixel":[95,113],"each":[97],"block.":[98],"Secondly,":[99],"Maps":[103,119],"over":[104],"pre-processed":[106],"average":[110],"values":[114],"computed.":[121],"Finally,":[122],"an":[123],"extension":[124],"Gaussian":[127],"OTSU\u2019s":[128],"threshold":[129],"to":[132,156],"detect":[133],"changes":[134],"Experimental":[137],"results":[138],"well-known":[141],"Onera":[142],"Satellite":[143],"Change":[144],"Detection":[145],"(OSCD)":[146],"dataset":[147],"show":[148],"effectiveness":[150],"our":[152],"proposed":[153],"method":[154],"compared":[155],"state-of-the-art":[158],"deep":[159],"learning":[160],"methods.":[161]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}