{"id":"https://openalex.org/W2023956525","doi":"https://doi.org/10.1109/igarss.2012.6351265","title":"Segmentation of polarimetric SAR data with a multi-texture product model","display_name":"Segmentation of polarimetric SAR data with a multi-texture product model","publication_year":2012,"publication_date":"2012-07-01","ids":{"openalex":"https://openalex.org/W2023956525","doi":"https://doi.org/10.1109/igarss.2012.6351265","mag":"2023956525"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2012.6351265","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2012.6351265","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 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/A5034411171","display_name":"Anthony P. Doulgeris","orcid":"https://orcid.org/0000-0002-9345-6896"},"institutions":[{"id":"https://openalex.org/I78037679","display_name":"UiT The Arctic University of Norway","ror":"https://ror.org/00wge5k78","country_code":"NO","type":"education","lineage":["https://openalex.org/I78037679"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"A. P. Doulgeris","raw_affiliation_strings":["Department of Physics and Technology, University of Troms\u00f8, Norway","[Department of Physics and Technology, University of Troms\u00f8, Norway]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Physics and Technology, University of Troms\u00f8, Norway","institution_ids":["https://openalex.org/I78037679"]},{"raw_affiliation_string":"[Department of Physics and Technology, University of Troms\u00f8, Norway]","institution_ids":["https://openalex.org/I78037679"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019438000","display_name":"Stian Normann Anfinsen","orcid":"https://orcid.org/0000-0002-3758-4295"},"institutions":[{"id":"https://openalex.org/I78037679","display_name":"UiT The Arctic University of Norway","ror":"https://ror.org/00wge5k78","country_code":"NO","type":"education","lineage":["https://openalex.org/I78037679"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"S. N. Anfinsen","raw_affiliation_strings":["Department of Physics and Technology, University of Troms\u00f8, Norway","[Department of Physics and Technology, University of Troms\u00f8, Norway]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Physics and Technology, University of Troms\u00f8, Norway","institution_ids":["https://openalex.org/I78037679"]},{"raw_affiliation_string":"[Department of Physics and Technology, University of Troms\u00f8, Norway]","institution_ids":["https://openalex.org/I78037679"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016021299","display_name":"Torbj\u00f8rn Eltoft","orcid":"https://orcid.org/0000-0002-1597-4364"},"institutions":[{"id":"https://openalex.org/I78037679","display_name":"UiT The Arctic University of Norway","ror":"https://ror.org/00wge5k78","country_code":"NO","type":"education","lineage":["https://openalex.org/I78037679"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"T. Eltoft","raw_affiliation_strings":["Department of Physics and Technology, University of Troms\u00f8, Norway","[Department of Physics and Technology, University of Troms\u00f8, Norway]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Physics and Technology, University of Troms\u00f8, Norway","institution_ids":["https://openalex.org/I78037679"]},{"raw_affiliation_string":"[Department of Physics and Technology, University of Troms\u00f8, Norway]","institution_ids":["https://openalex.org/I78037679"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I78037679"],"apc_list":null,"apc_paid":null,"fwci":0.9236,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.75214816,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"4","issue":null,"first_page":"1437","last_page":"1440"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9998000264167786,"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/T11312","display_name":"Soil Moisture and Remote Sensing","score":0.9805999994277954,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9757999777793884,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/texture-filtering","display_name":"Texture filtering","score":0.6846567988395691},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6777610778808594},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5993326306343079},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.5764204263687134},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5680704712867737},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.5299975275993347},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.5155644416809082},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5129303932189941},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.49653464555740356},{"id":"https://openalex.org/keywords/texture-compression","display_name":"Texture compression","score":0.4949318766593933},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.47100821137428284},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.38682568073272705},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3170841932296753},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.17494893074035645}],"concepts":[{"id":"https://openalex.org/C144743038","wikidata":"https://www.wikidata.org/wiki/Q3267765","display_name":"Texture filtering","level":5,"score":0.6846567988395691},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6777610778808594},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5993326306343079},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.5764204263687134},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5680704712867737},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.5299975275993347},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.5155644416809082},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5129303932189941},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.49653464555740356},{"id":"https://openalex.org/C54243161","wikidata":"https://www.wikidata.org/wiki/Q39333","display_name":"Texture compression","level":5,"score":0.4949318766593933},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.47100821137428284},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.38682568073272705},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3170841932296753},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17494893074035645}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2012.6351265","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2012.6351265","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Geoscience and Remote Sensing Symposium","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":8,"referenced_works":["https://openalex.org/W2033903783","https://openalex.org/W2099611097","https://openalex.org/W2113069932","https://openalex.org/W2134275613","https://openalex.org/W2143353454","https://openalex.org/W2198439621","https://openalex.org/W6679980269","https://openalex.org/W6687567419"],"related_works":["https://openalex.org/W2165772202","https://openalex.org/W2166724105","https://openalex.org/W2154859065","https://openalex.org/W1983661653","https://openalex.org/W2093957690","https://openalex.org/W2743128629","https://openalex.org/W2003873690","https://openalex.org/W2115502907","https://openalex.org/W2359713774","https://openalex.org/W2035842265"],"abstract_inverted_index":{"The":[0,27,55,74,105],"previously":[1],"proposed":[2,66],"multi-texture":[3,28,81,111,123],"model":[4,29,35,63,68],"for":[5,36,47],"multi-looked":[6],"PolSAR":[7,25],"data":[8],"statistics":[9],"[1]":[10],"is":[11,30,77,112],"hereby":[12],"implemented":[13,78],"into":[14],"an":[15],"advanced":[16],"statistical":[17],"clustering":[18,75],"algorithm":[19,76],"and":[20,51,69,96,116],"tested":[21],"on":[22,32],"several":[23],"real":[24,106],"images.":[26],"based":[31],"the":[33,41,48,59,65,70,87,98,119],"product":[34],"SAR":[37,107],"statistics,":[38],"yet":[39],"allows":[40],"possibility":[42],"of":[43,83,100,122,132],"different":[44,133],"texture":[45,62],"parameters":[46],"co-polarized":[49],"(co-pol)":[50],"cross-polarized":[52],"(cross-pol)":[53],"channels.":[54],"implementation":[56],"automatically":[57],"determines":[58,97],"most":[60],"appropriate":[61],"between":[64],"\u201cdual-texture\u201d":[67],"traditional":[71],"\u201cscalar-texture\u201d":[72],"model.":[73],"as":[79],"a":[80],"version":[82],"[2].":[84],"It":[85],"incorporates":[86],"flexible":[88],"U-distribution,":[89],"contextual":[90],"smoothing":[91],"with":[92,102],"Markov":[93],"random":[94],"fields,":[95],"number":[99],"classes":[101],"goodness-of-fit":[103],"tests.":[104],"examples":[108],"indicate":[109],"that":[110],"not":[113],"generally":[114],"required":[115],"we":[117],"discuss":[118],"possible":[120],"mis-interpretation":[121],"in":[124],"alternative":[125],"window-based":[126],"estimation":[127],"methods,":[128],"due":[129],"to":[130],"mixing":[131],"polarimetric":[134],"classes.":[135]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
