{"id":"https://openalex.org/W2147526091","doi":"https://doi.org/10.1186/1687-1499-2013-34","title":"Segmentation of PolSAR image by using an automatic initialized variational model and a dual optimization approach","display_name":"Segmentation of PolSAR image by using an automatic initialized variational model and a dual optimization approach","publication_year":2013,"publication_date":"2013-02-19","ids":{"openalex":"https://openalex.org/W2147526091","doi":"https://doi.org/10.1186/1687-1499-2013-34","mag":"2147526091"},"language":"en","primary_location":{"id":"doi:10.1186/1687-1499-2013-34","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1687-1499-2013-34","pdf_url":"https://jwcn-eurasipjournals.springeropen.com/counter/pdf/10.1186/1687-1499-2013-34","source":{"id":"https://openalex.org/S82675988","display_name":"EURASIP Journal on Wireless Communications and Networking","issn_l":"1687-1472","issn":["1687-1472","1687-1499"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Wireless Communications and Networking","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://jwcn-eurasipjournals.springeropen.com/counter/pdf/10.1186/1687-1499-2013-34","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019411747","display_name":"Zongjie Cao","orcid":"https://orcid.org/0000-0002-0117-9087"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zongjie Cao","raw_affiliation_strings":["School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, 611731, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, 611731, People's Republic of China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023089209","display_name":"Ying Tan","orcid":"https://orcid.org/0000-0001-8243-4731"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Tan","raw_affiliation_strings":["School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, 611731, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, 611731, People's Republic of China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088876545","display_name":"Jilan Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jilan Feng","raw_affiliation_strings":["School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, 611731, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, 611731, People's Republic of China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5019411747"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":{"value":1790,"currency":"USD","value_usd":1790},"apc_paid":{"value":1790,"currency":"USD","value_usd":1790},"fwci":24.936,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.99066701,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2013","issue":"1","first_page":null,"last_page":null},"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":1.0,"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":1.0,"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9934999942779541,"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":0.9886999726295471,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7519692182540894},{"id":"https://openalex.org/keywords/wishart-distribution","display_name":"Wishart distribution","score":0.7011460661888123},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6823182702064514},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6539716124534607},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.6474939584732056},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5870676040649414},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.49935126304626465},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.44045963883399963},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.4313703775405884},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.13855838775634766}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7519692182540894},{"id":"https://openalex.org/C33962027","wikidata":"https://www.wikidata.org/wiki/Q1930697","display_name":"Wishart distribution","level":3,"score":0.7011460661888123},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6823182702064514},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6539716124534607},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.6474939584732056},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5870676040649414},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.49935126304626465},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.44045963883399963},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.4313703775405884},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.13855838775634766},{"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/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1186/1687-1499-2013-34","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1687-1499-2013-34","pdf_url":"https://jwcn-eurasipjournals.springeropen.com/counter/pdf/10.1186/1687-1499-2013-34","source":{"id":"https://openalex.org/S82675988","display_name":"EURASIP Journal on Wireless Communications and Networking","issn_l":"1687-1472","issn":["1687-1472","1687-1499"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Wireless Communications and Networking","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1186/1687-1499-2013-34","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1687-1499-2013-34","pdf_url":"https://jwcn-eurasipjournals.springeropen.com/counter/pdf/10.1186/1687-1499-2013-34","source":{"id":"https://openalex.org/S82675988","display_name":"EURASIP Journal on Wireless Communications and Networking","issn_l":"1687-1472","issn":["1687-1472","1687-1499"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Wireless Communications and Networking","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8500000238418579}],"awards":[],"funders":[{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2147526091.pdf","grobid_xml":"https://content.openalex.org/works/W2147526091.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W207373900","https://openalex.org/W768093844","https://openalex.org/W1653619892","https://openalex.org/W1988760030","https://openalex.org/W1991113069","https://openalex.org/W1992891297","https://openalex.org/W2005089986","https://openalex.org/W2014122791","https://openalex.org/W2056131251","https://openalex.org/W2080622120","https://openalex.org/W2100024934","https://openalex.org/W2104095591","https://openalex.org/W2117314452","https://openalex.org/W2120561279","https://openalex.org/W2133989913","https://openalex.org/W2137993841","https://openalex.org/W2159793005","https://openalex.org/W4236574868","https://openalex.org/W4301021743"],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2185902295","https://openalex.org/W2945274617","https://openalex.org/W2103507220","https://openalex.org/W2055202857","https://openalex.org/W2371519352","https://openalex.org/W4205800335","https://openalex.org/W2386644571","https://openalex.org/W2551987074","https://openalex.org/W2372421320"],"abstract_inverted_index":{"This":[0,95],"paper":[1],"presents":[2],"a":[3,25,56,79,127,136],"variational":[4,122,191],"model":[5],"based":[6,23,29,58],"segmentation":[7,21,54,93,123,156,183],"approach":[8,60,72,96,131,179,192],"for":[9,18,109],"polarimetric":[10,84,143],"synthetic":[11],"aperture":[12],"radar":[13],"(PolSAR)":[14],"images.":[15],"The":[16],"formulation":[17],"PolSAR":[19,49,111],"image":[20,37],"is":[22,61,88,132],"on":[24],"scaled":[26],"Wishart":[27],"distribution":[28],"continuous":[30],"Potts":[31],"model,":[32],"which":[33,73,113,158],"can":[34,97,180],"partition":[35],"the":[36,45,53,65,75,83,92,99,105,110,117,120,129,142,147,154,162,167,170,177],"domain":[38],"into":[39],"distinct":[40],"regions":[41],"with":[42,188],"respect":[43],"to":[44,63,90,152,160],"statistical":[46,148],"property":[47],"of":[48,82,102,119,141,169],"data.":[50],"To":[51],"make":[52],"efficient,":[55],"duality":[57],"optimization":[59],"utilized":[62],"minimize":[64],"energy":[66],"functional.":[67],"Moreover,":[68],"an":[69],"automatic":[70],"initialization":[71],"takes":[74],"unsupervised":[76,138],"H":[77],"\u2013":[78],"classification":[80,107,195],"result":[81],"data":[85],"as":[86,116],"input":[87,118],"used":[89,115,151],"initialize":[91],"process.":[94],"estimate":[98],"appropriate":[100],"number":[101],"clusters":[103],"and":[104,146,193],"corresponding":[106],"map":[108],"data,":[112],"are":[114,150],"following":[121],"approach.":[124,172,196],"In":[125],"such":[126],"way,":[128],"proposed":[130,171,178],"carried":[133],"out":[134],"in":[135],"fully":[137],"way.":[139],"Both":[140],"decomposition":[144],"features":[145],"characteristics":[149],"get":[153],"final":[155],"result,":[157],"helps":[159],"increase":[161],"accuracy.":[163],"Experimental":[164],"results":[165,184,186],"demonstrate":[166],"effectiveness":[168],"Without":[173],"any":[174],"artificial":[175],"supervision,":[176],"produce":[181],"superior":[182],"than":[185],"obtained":[187],"random":[189],"initialized":[190],"Wishart\u2013H\u2013a":[194]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
