{"id":"https://openalex.org/W2055093645","doi":"https://doi.org/10.1109/icip.2009.5413907","title":"Object extraction from high resolution SAR images using a birth and death dynamics","display_name":"Object extraction from high resolution SAR images using a birth and death dynamics","publication_year":2009,"publication_date":"2009-11-01","ids":{"openalex":"https://openalex.org/W2055093645","doi":"https://doi.org/10.1109/icip.2009.5413907","mag":"2055093645"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2009.5413907","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2009.5413907","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 16th 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/A5010774007","display_name":"Fatih Arslan","orcid":"https://orcid.org/0000-0001-6598-8599"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I4210106545","display_name":"Centre Inria d'Universit\u00e9 C\u00f4te d'Azur","ror":"https://ror.org/01nzkaw91","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I201841394","https://openalex.org/I4210106545"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Fatih Arslan","raw_affiliation_strings":["Ariana 13s/INRIA Sophia Antipolis m\u00e9diterran\u00e9e, Sophia-Antipolis, France","Ariana, I3S/INRIA Sophia Antipolis M\u00e9diterran\u00e9e, 2004 route des Lucioles, BP 93 06902, FRANCE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ariana 13s/INRIA Sophia Antipolis m\u00e9diterran\u00e9e, Sophia-Antipolis, France","institution_ids":["https://openalex.org/I1326498283","https://openalex.org/I4210106545"]},{"raw_affiliation_string":"Ariana, I3S/INRIA Sophia Antipolis M\u00e9diterran\u00e9e, 2004 route des Lucioles, BP 93 06902, FRANCE","institution_ids":["https://openalex.org/I1326498283","https://openalex.org/I4210106545"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106126872","display_name":"Xavier Descombes","orcid":"https://orcid.org/0000-0002-7611-6021"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I4210106545","display_name":"Centre Inria d'Universit\u00e9 C\u00f4te d'Azur","ror":"https://ror.org/01nzkaw91","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I201841394","https://openalex.org/I4210106545"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Xavier Descombes","raw_affiliation_strings":["Ariana 13s/INRIA Sophia Antipolis m\u00e9diterran\u00e9e, Sophia-Antipolis, France","Ariana, I3S/INRIA Sophia Antipolis M\u00e9diterran\u00e9e, 2004 route des Lucioles, BP 93 06902, FRANCE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ariana 13s/INRIA Sophia Antipolis m\u00e9diterran\u00e9e, Sophia-Antipolis, France","institution_ids":["https://openalex.org/I1326498283","https://openalex.org/I4210106545"]},{"raw_affiliation_string":"Ariana, I3S/INRIA Sophia Antipolis M\u00e9diterran\u00e9e, 2004 route des Lucioles, BP 93 06902, FRANCE","institution_ids":["https://openalex.org/I1326498283","https://openalex.org/I4210106545"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018158883","display_name":"Josiane Zerubia","orcid":"https://orcid.org/0000-0002-7444-0856"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I4210106545","display_name":"Centre Inria d'Universit\u00e9 C\u00f4te d'Azur","ror":"https://ror.org/01nzkaw91","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I201841394","https://openalex.org/I4210106545"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Josiane Zerubia","raw_affiliation_strings":["Ariana 13s/INRIA Sophia Antipolis m\u00e9diterran\u00e9e, Sophia-Antipolis, France","Ariana, I3S/INRIA Sophia Antipolis M\u00e9diterran\u00e9e, 2004 route des Lucioles, BP 93 06902, FRANCE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ariana 13s/INRIA Sophia Antipolis m\u00e9diterran\u00e9e, Sophia-Antipolis, France","institution_ids":["https://openalex.org/I1326498283","https://openalex.org/I4210106545"]},{"raw_affiliation_string":"Ariana, I3S/INRIA Sophia Antipolis M\u00e9diterran\u00e9e, 2004 route des Lucioles, BP 93 06902, FRANCE","institution_ids":["https://openalex.org/I1326498283","https://openalex.org/I4210106545"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3226,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.43522099,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"561","last_page":"564"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9842000007629395,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9842000007629395,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9803000092506409,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9455999732017517,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.69111168384552},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6785348057746887},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6080714464187622},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5898151397705078},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5799529552459717},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5114980936050415},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.4768874943256378},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4462847113609314},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3370339274406433},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2017015516757965},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11277690529823303}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.69111168384552},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6785348057746887},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6080714464187622},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5898151397705078},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5799529552459717},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5114980936050415},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.4768874943256378},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4462847113609314},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3370339274406433},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2017015516757965},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11277690529823303},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2009.5413907","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2009.5413907","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 16th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W595851582","https://openalex.org/W1968681644","https://openalex.org/W2022906019","https://openalex.org/W2038722092","https://openalex.org/W2056834257","https://openalex.org/W2115578673","https://openalex.org/W2119391693","https://openalex.org/W2128138615","https://openalex.org/W2138436914","https://openalex.org/W2470311561","https://openalex.org/W6677394721"],"related_works":["https://openalex.org/W2397288865","https://openalex.org/W2368524271","https://openalex.org/W2576709312","https://openalex.org/W2392797073","https://openalex.org/W2989490741","https://openalex.org/W2023657818","https://openalex.org/W2384907669","https://openalex.org/W2373120800","https://openalex.org/W4388654424","https://openalex.org/W1525606436"],"abstract_inverted_index":{"We":[0,22,52,113],"present":[1],"a":[2,24,55,79,89,127,162],"new":[3],"approach":[4,26,146],"to":[5,108,117,132],"extract":[6,118],"predefined":[7],"objects,":[8,84],"such":[9],"as":[10],"trees":[11,40],"and":[12,65,85,153],"oil":[13,42,140],"tanks":[14,43,141],"for":[15],"instance,":[16],"from":[17],"high":[18],"resolution":[19],"SAR":[20,101],"images.":[21],"consider":[23],"stochastic":[25],"based":[27],"on":[28],"an":[29,97,109],"object":[30,98],"process":[31,116],"also":[32],"called":[33],"marked":[34],"point":[35],"process.":[36],"The":[37,68,103],"objects":[38,122,137],"represent":[39],"or":[41,139,159],"which":[44,92],"are":[45],"modeled":[46],"by":[47,126],"disks":[48],"in":[49,99,142],"the":[50,66,86,94,100,115,119,124,133],"image.":[51,102],"first":[53],"define":[54,71],"Gibbs":[56],"density":[57],"that":[58],"takes":[59],"into":[60],"account":[61],"both":[62],"prior":[63],"information":[64],"data.":[67],"energy":[69,110,125],"we":[70],"is":[72,78,88,105,147],"composed":[73],"of":[74,96,121,136,161],"two":[75],"terms,":[76],"one":[77],"prior,":[80],"penalizing":[81],"overlaps":[82],"between":[83],"other":[87],"data":[90],"term,":[91],"measures":[93],"suitability":[95],"problem":[104],"then":[106],"reduced":[107],"minimization":[111],"problem.":[112],"sample":[114],"configuration":[120],"minimizing":[123],"fast":[128],"birth-and-death":[129],"dynamics,":[130],"leading":[131],"total":[134],"number":[135],"(trees":[138],"our":[143],"case).":[144],"This":[145],"much":[148],"faster":[149],"than":[150],"manual":[151],"counts":[152],"does":[154],"not":[155],"need":[156],"any":[157],"preprocessing":[158],"supervision":[160],"user.":[163]},"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
