{"id":"https://openalex.org/W2083808096","doi":"https://doi.org/10.1109/igarss.2009.5417327","title":"An a-contrario approach for unsupervised change detection in radar images","display_name":"An a-contrario approach for unsupervised change detection in radar images","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W2083808096","doi":"https://doi.org/10.1109/igarss.2009.5417327","mag":"2083808096"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2009.5417327","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2009.5417327","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Geoscience and Remote Sensing Symposium","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/A5033464542","display_name":"Amandine Robin","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I205703379","display_name":"Institut Mines-T\u00e9l\u00e9com","ror":"https://ror.org/025vp2923","country_code":"FR","type":"facility","lineage":["https://openalex.org/I205703379"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"A. Robin","raw_affiliation_strings":["CNRS UMR 2872 TAMCIC/ TIME, GET Telecom Bretagne, Brest, France","GET/TELECOM Bretagne/ITI CNRS UMR 2872 TAMCIC/TIME CS 83818, F-29 238 Brest Cedex 3, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS UMR 2872 TAMCIC/ TIME, GET Telecom Bretagne, Brest, France","institution_ids":["https://openalex.org/I1294671590"]},{"raw_affiliation_string":"GET/TELECOM Bretagne/ITI CNRS UMR 2872 TAMCIC/TIME CS 83818, F-29 238 Brest Cedex 3, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I205703379"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101721555","display_name":"Gr\u00e9goire Mercier","orcid":"https://orcid.org/0000-0002-0619-9503"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I205703379","display_name":"Institut Mines-T\u00e9l\u00e9com","ror":"https://ror.org/025vp2923","country_code":"FR","type":"facility","lineage":["https://openalex.org/I205703379"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"G. Mercier","raw_affiliation_strings":["CNRS UMR 2872 TAMCIC/ TIME, GET Telecom Bretagne, Brest, France","GET/TELECOM Bretagne/ITI CNRS UMR 2872 TAMCIC/TIME CS 83818, F-29 238 Brest Cedex 3, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS UMR 2872 TAMCIC/ TIME, GET Telecom Bretagne, Brest, France","institution_ids":["https://openalex.org/I1294671590"]},{"raw_affiliation_string":"GET/TELECOM Bretagne/ITI CNRS UMR 2872 TAMCIC/TIME CS 83818, F-29 238 Brest Cedex 3, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I205703379"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012936131","display_name":"Gabriele Moser","orcid":"https://orcid.org/0000-0002-3796-2938"},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"G. Moser","raw_affiliation_strings":["Department of Biophysical and Electronic Engineering, University of Genoa, Genoa, Italy","University of Genoa, Dept. of Biophysical and Electronic Eng., Via Opera Pia 11a, I-16145, Genova, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biophysical and Electronic Engineering, University of Genoa, Genoa, Italy","institution_ids":["https://openalex.org/I83816512"]},{"raw_affiliation_string":"University of Genoa, Dept. of Biophysical and Electronic Eng., Via Opera Pia 11a, I-16145, Genova, Italy","institution_ids":["https://openalex.org/I83816512"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041360967","display_name":"Sebastiano B. Serpico","orcid":"https://orcid.org/0000-0001-9858-7230"},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"S. Serpico","raw_affiliation_strings":["Department of Biophysical and Electronic Engineering, University of Genoa, Genoa, Italy","University of Genoa, Dept. of Biophysical and Electronic Eng., Via Opera Pia 11a, I-16145, Genova, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biophysical and Electronic Engineering, University of Genoa, Genoa, Italy","institution_ids":["https://openalex.org/I83816512"]},{"raw_affiliation_string":"University of Genoa, Dept. of Biophysical and Electronic Eng., Via Opera Pia 11a, I-16145, Genova, Italy","institution_ids":["https://openalex.org/I83816512"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"IV","last_page":"240"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9994000196456909,"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":0.9994000196456909,"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/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9911999702453613,"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/T10836","display_name":"Metabolomics and Mass Spectrometry Studies","score":0.9538000226020813,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.7623112201690674},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7458187341690063},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.7362585663795471},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.6878425478935242},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.6389195322990417},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6129270792007446},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5945413708686829},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5821658372879028},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5014147758483887},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.49663645029067993},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.47278428077697754},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4544036090373993},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.439090758562088},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3651568591594696},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3454989790916443},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33159518241882324},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2441806197166443},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.19266900420188904},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12512800097465515},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.08246994018554688}],"concepts":[{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.7623112201690674},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7458187341690063},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.7362585663795471},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.6878425478935242},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.6389195322990417},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6129270792007446},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5945413708686829},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5821658372879028},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5014147758483887},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.49663645029067993},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.47278428077697754},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4544036090373993},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.439090758562088},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3651568591594696},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3454989790916443},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33159518241882324},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2441806197166443},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.19266900420188904},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12512800097465515},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.08246994018554688},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/igarss.2009.5417327","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2009.5417327","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.unige.it:11567/390231","is_oa":false,"landing_page_url":"http://hdl.handle.net/11567/390231","pdf_url":null,"source":{"id":"https://openalex.org/S4377196291","display_name":"CINECA IRIS Institutial Research Information System (University of Genoa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I83816512","host_organization_name":"University of Genoa","host_organization_lineage":["https://openalex.org/I83816512"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1990200755","https://openalex.org/W2126176832","https://openalex.org/W2138055993","https://openalex.org/W2151137405","https://openalex.org/W2913455019"],"related_works":["https://openalex.org/W3205829146","https://openalex.org/W2545123933","https://openalex.org/W2585813813","https://openalex.org/W3110962985","https://openalex.org/W2042726296","https://openalex.org/W2096748030","https://openalex.org/W3016428515","https://openalex.org/W2160730947","https://openalex.org/W2747205507","https://openalex.org/W2917196883"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,30,38,44,51,71,78,82,96,105],"new":[4],"approach":[5,40],"for":[6],"unsupervised":[7],"change":[8],"detection":[9],"in":[10,33,120],"pairs":[11],"of":[12,50,84,86,99,107,117,127,135],"Synthetic":[13],"Aperture":[14],"Radar":[15],"(SAR)":[16],"images.":[17],"As":[18],"changes":[19,61],"to":[20,95,132],"detect":[21],"can":[22],"have":[23],"various":[24],"sizes":[25],"and":[26,112],"intensities":[27],"which":[28],"are":[29,62,102],"priori":[31,45],"unknown":[32],"most":[34],"applications,":[35],"we":[36],"propose":[37],"multiscale":[39,48],"without":[41],"considering":[42],"any":[43],"information.":[46],"Using":[47],"series":[49],"cumulant-based":[52],"Kullback-Leibler":[53],"divergence":[54],"(CKLD)":[55],"measure":[56,83],"computed":[57],"between":[58],"two":[59],"dates,":[60],"characterized":[63],"as":[64],"areas":[65],"where":[66],"the":[67,74,114,118,125,128,133],"CKLD":[68],"values":[69],"vary":[70],"lot":[72],"when":[73],"scale":[75,91],"varies.":[76],"In":[77],"probabilistic":[79],"a-contrario":[80],"framework,":[81],"meaningfulness":[85],"such":[87],"an":[88],"evolution":[89],"through":[90],"is":[92],"derived,":[93],"leading":[94],"criterion":[97],"free":[98],"parameter.":[100],"Results":[101],"presented":[103],"using":[104],"pair":[106],"SAR":[108],"images":[109],"acquired":[110],"before":[111],"after":[113],"volcanic":[115],"eruption":[116],"Nyiragongo":[119],"January":[121],"2002":[122],"(Congo),":[123],"showing":[124],"robustness":[126],"method":[129],"with":[130],"respect":[131],"number":[134],"false":[136],"alarms.":[137]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}