{"id":"https://openalex.org/W2972611332","doi":"https://doi.org/10.1109/lgrs.2019.2933149","title":"Level-Set Formulation Based on an Infinite Series of Sample Moments for SAR Image Segmentation","display_name":"Level-Set Formulation Based on an Infinite Series of Sample Moments for SAR Image Segmentation","publication_year":2019,"publication_date":"2019-09-11","ids":{"openalex":"https://openalex.org/W2972611332","doi":"https://doi.org/10.1109/lgrs.2019.2933149","mag":"2972611332"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2019.2933149","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2019.2933149","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","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/A5038600290","display_name":"Jeov\u00e1 Farias Sales Rocha Neto","orcid":null},"institutions":[{"id":"https://openalex.org/I27804330","display_name":"Brown University","ror":"https://ror.org/05gq02987","country_code":"US","type":"education","lineage":["https://openalex.org/I27804330"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jeov\u00e1 F. S. Rocha Neto","raw_affiliation_strings":["School of Engineering, Brown University, Providence, RI, USA","School of Engineering, Brown University, Providence, USA"],"affiliations":[{"raw_affiliation_string":"School of Engineering, Brown University, Providence, RI, USA","institution_ids":["https://openalex.org/I27804330"]},{"raw_affiliation_string":"School of Engineering, Brown University, Providence, USA","institution_ids":["https://openalex.org/I27804330"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059008361","display_name":"Alan M. Braga","orcid":null},"institutions":[{"id":"https://openalex.org/I243754102","display_name":"Universidade Federal do Cear\u00e1","ror":"https://ror.org/03srtnf24","country_code":"BR","type":"education","lineage":["https://openalex.org/I243754102"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Alan M. Braga","raw_affiliation_strings":["Teleinformatics Engineering Department, Universidade Federal do Ceará, Fortaleza, Brazil","Teleinformatics Engineering Department, Universidade Federal do Cear\u00e1, Fortaleza, Brazil"],"affiliations":[{"raw_affiliation_string":"Teleinformatics Engineering Department, Universidade Federal do Ceará, Fortaleza, Brazil","institution_ids":["https://openalex.org/I243754102"]},{"raw_affiliation_string":"Teleinformatics Engineering Department, Universidade Federal do Cear\u00e1, Fortaleza, Brazil","institution_ids":["https://openalex.org/I243754102"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059954074","display_name":"R\u00e9gis C. P. Marques","orcid":null},"institutions":[{"id":"https://openalex.org/I2799978770","display_name":"X-Fab (Germany)","ror":"https://ror.org/030bh9196","country_code":"DE","type":"company","lineage":["https://openalex.org/I2799978770"]},{"id":"https://openalex.org/I3018325552","display_name":"Instituto Federal de Educa\u00e7\u00e3o, Ci\u00eancia e Tecnologia do Cear\u00e1","ror":"https://ror.org/02225fd27","country_code":"BR","type":"government","lineage":["https://openalex.org/I3018325552"]}],"countries":["BR","DE"],"is_corresponding":false,"raw_author_name":"Regis C. P. Marques","raw_affiliation_strings":["Instituto Federal de Educação, Ciência e Tecnologia do Ceará, Fortaleza, Brazil","Instituto Federal de Educa\u00e7\u00e3o, Ci\u00eancia e Tecnologia do Cear\u00e1, Fortaleza, Brazil"],"affiliations":[{"raw_affiliation_string":"Instituto Federal de Educação, Ciência e Tecnologia do Ceará, Fortaleza, Brazil","institution_ids":["https://openalex.org/I2799978770"]},{"raw_affiliation_string":"Instituto Federal de Educa\u00e7\u00e3o, Ci\u00eancia e Tecnologia do Cear\u00e1, Fortaleza, Brazil","institution_ids":["https://openalex.org/I3018325552"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102823032","display_name":"F.N.S. Medeiros","orcid":null},"institutions":[{"id":"https://openalex.org/I243754102","display_name":"Universidade Federal do Cear\u00e1","ror":"https://ror.org/03srtnf24","country_code":"BR","type":"education","lineage":["https://openalex.org/I243754102"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"F\u00e1tima N. S. de Medeiros","raw_affiliation_strings":["Teleinformatics Engineering Department, Universidade Federal do Ceará, Fortaleza, Brazil","Teleinformatics Engineering Department, Universidade Federal do Cear\u00e1, Fortaleza, Brazil"],"affiliations":[{"raw_affiliation_string":"Teleinformatics Engineering Department, Universidade Federal do Ceará, Fortaleza, Brazil","institution_ids":["https://openalex.org/I243754102"]},{"raw_affiliation_string":"Teleinformatics Engineering Department, Universidade Federal do Cear\u00e1, Fortaleza, Brazil","institution_ids":["https://openalex.org/I243754102"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5038600290"],"corresponding_institution_ids":["https://openalex.org/I27804330"],"apc_list":null,"apc_paid":null,"fwci":0.28,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.65801774,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"17","issue":"5","first_page":"908","last_page":"911"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9785000085830688,"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"}},"topics":[{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9785000085830688,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9764999747276306,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9714000225067139,"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":0.7036976218223572},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6983692049980164},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.698310375213623},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.5785188674926758},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.563148021697998},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5597488284111023},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5576276779174805},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.550167441368103},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5478526949882507},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5172486901283264},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5088120102882385},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5014009475708008},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.4918529987335205},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4067441523075104},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.0664125382900238}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7036976218223572},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6983692049980164},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.698310375213623},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.5785188674926758},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.563148021697998},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5597488284111023},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5576276779174805},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.550167441368103},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5478526949882507},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5172486901283264},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5088120102882385},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5014009475708008},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.4918529987335205},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4067441523075104},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0664125382900238},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2019.2933149","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2019.2933149","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2051832490","display_name":null,"funder_award_id":"306600/2016 \u2013 1","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"}],"funders":[{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1979968728","https://openalex.org/W1987869189","https://openalex.org/W1997488520","https://openalex.org/W2040356988","https://openalex.org/W2076063977","https://openalex.org/W2098360446","https://openalex.org/W2119666089","https://openalex.org/W2127292566","https://openalex.org/W2131914097","https://openalex.org/W2133059825","https://openalex.org/W2158347164","https://openalex.org/W2249673160","https://openalex.org/W2514245155","https://openalex.org/W2617083732","https://openalex.org/W2752315664","https://openalex.org/W2753385162","https://openalex.org/W2795425048","https://openalex.org/W2962943467","https://openalex.org/W3101173545","https://openalex.org/W6680096826"],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2945274617","https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W2055202857","https://openalex.org/W2371519352","https://openalex.org/W4205800335","https://openalex.org/W2386644571","https://openalex.org/W2372421320","https://openalex.org/W2551987074"],"abstract_inverted_index":{"SAR":[0,29,97],"image":[1,30],"segmentation":[2,20,48],"plays":[3],"a":[4,70],"central":[5],"role":[6],"in":[7],"geoscience":[8],"and":[9,95],"remote":[10],"sensing":[11],"of":[12,24,45,58,76],"the":[13,34,43,56,77],"environment.":[14],"Recently,":[15],"methodologies":[16],"that":[17,73],"apply":[18],"traditional":[19],"algorithms":[21],"to":[22,33,50],"maps":[23,52],"statistical":[25,60],"information":[26],"extracted":[27],"from":[28],"rather":[31],"than":[32],"raw":[35],"data":[36,78],"itself":[37],"have":[38],"shown":[39],"promising":[40],"results.":[41],"Nonetheless,":[42],"application":[44],"more":[46],"powerful":[47],"methods":[49],"these":[51],"is":[53],"constrained":[54],"by":[55],"lack":[57],"adequate":[59],"models":[61],"for":[62,85],"such":[63],"data.":[64],"In":[65],"this":[66],"letter,":[67],"we":[68],"present":[69],"level-set-based":[71],"algorithm":[72],"embodies":[74],"much":[75],"statistics":[79],"without":[80],"assuming":[81],"any":[82],"prior":[83],"model":[84],"it.":[86],"We":[87],"also":[88],"evaluated":[89],"its":[90],"performance":[91],"on":[92],"both":[93],"real":[94],"synthetic":[96],"images.":[98]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-01-28T23:14:49.684275","created_date":"2025-10-10T00:00:00"}