{"id":"https://openalex.org/W2806480896","doi":"https://doi.org/10.1109/access.2018.2841041","title":"Hierarchical Multinomial Latent Model With G<sup>0</sup> Distribution for Synthetic Aperture Radar Image Semantic Segmentation","display_name":"Hierarchical Multinomial Latent Model With G<sup>0</sup> Distribution for Synthetic Aperture Radar Image Semantic Segmentation","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2806480896","doi":"https://doi.org/10.1109/access.2018.2841041","mag":"2806480896"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2841041","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2841041","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2018.2841041","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025137837","display_name":"Yiping Duan","orcid":"https://orcid.org/0000-0001-9638-7112"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yiping Duan","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101459082","display_name":"Xiaoming Tao","orcid":"https://orcid.org/0000-0002-8763-9338"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoming Tao","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079385534","display_name":"Mai Xu","orcid":"https://orcid.org/0000-0002-0277-3301"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mai Xu","raw_affiliation_strings":["School of Electronic and Information Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089544297","display_name":"Xiaowei Qin","orcid":"https://orcid.org/0000-0001-7296-3461"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaowei Qin","raw_affiliation_strings":["School of Information Science and Technology, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082999550","display_name":"Ren Yang","orcid":"https://orcid.org/0000-0003-4124-4186"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ren Yang","raw_affiliation_strings":["School of Electronic and Information Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002823491","display_name":"Chaoyi Han","orcid":"https://orcid.org/0000-0001-9969-5778"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaoyi Han","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072435188","display_name":"Jianhua Lu","orcid":"https://orcid.org/0000-0003-1125-7736"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhua Lu","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5025137837"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.5487,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.92223059,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"6","issue":null,"first_page":"31783","last_page":"31797"},"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":0.9955999851226807,"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":0.9955999851226807,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9926999807357788,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9900000095367432,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer 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":0.6887027621269226},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6852011680603027},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.6361745595932007},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6144199967384338},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.5563684701919556},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5318852066993713},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5142711997032166},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4646676480770111},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21756163239479065}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6887027621269226},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6852011680603027},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.6361745595932007},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6144199967384338},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.5563684701919556},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5318852066993713},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5142711997032166},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4646676480770111},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21756163239479065},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2018.2841041","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2841041","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b63d12da0fce42f1afaabd8b50cb5414","is_oa":true,"landing_page_url":"https://doaj.org/article/b63d12da0fce42f1afaabd8b50cb5414","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 6, Pp 31783-31797 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2841041","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2841041","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3728779510","display_name":null,"funder_award_id":"91538107","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5808281298","display_name":null,"funder_award_id":"2017M620044","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G6498527782","display_name":null,"funder_award_id":"61471220","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7721523980","display_name":null,"funder_award_id":"61622110","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1602107991","https://openalex.org/W1964262399","https://openalex.org/W1978549312","https://openalex.org/W1979968728","https://openalex.org/W1989222601","https://openalex.org/W2001826592","https://openalex.org/W2029235040","https://openalex.org/W2030398199","https://openalex.org/W2032420706","https://openalex.org/W2035596087","https://openalex.org/W2037163072","https://openalex.org/W2042844016","https://openalex.org/W2048611331","https://openalex.org/W2054743696","https://openalex.org/W2064856988","https://openalex.org/W2067031041","https://openalex.org/W2067191022","https://openalex.org/W2083620454","https://openalex.org/W2111727749","https://openalex.org/W2113891352","https://openalex.org/W2119531662","https://openalex.org/W2133744276","https://openalex.org/W2144615653","https://openalex.org/W2158347164","https://openalex.org/W2161985418","https://openalex.org/W2162021123","https://openalex.org/W2163431839","https://openalex.org/W2170425671","https://openalex.org/W2295784455","https://openalex.org/W2511989316","https://openalex.org/W2773193656","https://openalex.org/W2773252411","https://openalex.org/W2792706032","https://openalex.org/W2793870514"],"related_works":["https://openalex.org/W2355001665","https://openalex.org/W4233585817","https://openalex.org/W1522196789","https://openalex.org/W2016045932","https://openalex.org/W1675950995","https://openalex.org/W2188882668","https://openalex.org/W2088323302","https://openalex.org/W2004379491","https://openalex.org/W2021544484","https://openalex.org/W2083140487"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,36,45,49,164],"hierarchical":[4,50,60,91],"multinomial":[5,51,92,150],"latent":[6,52,93,151],"model":[7,23,53,61,94],"with":[8],"G":[9,82],"<sup":[10,83],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[11,84],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">0</sup>":[12,85],"distribution":[13,86],"for":[14,56,95],"synthetic":[15,167],"aperture":[16],"radar":[17],"(SAR)":[18],"image":[19],"semantic":[20,57,119],"segmentation.":[21,58],"The":[22,59,80,118,159],"considers":[24],"the":[25,32,69,90,96,105,110,135,146,173,183,189,193,198],"scattering":[26],"statistics":[27],"and":[28,48,65,128,154,168,196],"multiscale":[29],"characteristics":[30,67],"of":[31,68,75,98,101,166],"SAR":[33,70,76,170],"images.":[34,71],"Specifically,":[35],"2-D":[37],"discrete":[38],"wavelet":[39],"transform":[40],"is":[41,54,87,113,122,140,180],"used":[42,55],"to":[43,182],"construct":[44],"quad-tree":[46,111],"structure,":[47],"can":[62],"capture":[63],"local":[64],"global":[66],"Additionally,":[72],"statistical":[73],"distributions":[74],"images":[77],"are":[78,161],"discussed.":[79],"flexible":[81],"substituted":[88],"into":[89,115],"segmentation":[97,120,174,200],"various":[99],"types":[100],"land":[102],"covers.":[103],"Moreover,":[104],"developed":[106],"Bayesian":[107],"inference":[108],"on":[109],"structure":[112,138],"incorporated":[114],"our":[116,178],"approach.":[117],"map":[121],"obtained":[123],"from":[124,163],"an":[125],"initialization,":[126],"bottom-up,":[127],"top-down":[129],"probability":[130],"computations.":[131],"In":[132],"this":[133],"way,":[134],"underlying":[136],"spatial":[137],"information":[139],"effectively":[141],"propagated.":[142],"Our":[143],"experiments":[144,160],"compare":[145],"proposed":[147],"approach,":[148],"other":[149],"model-based":[152],"methods,":[153],"Markov":[155],"random":[156],"field-based":[157],"methods.":[158],"conducted":[162],"series":[165],"real":[169],"images,":[171],"where":[172],"results":[175],"demonstrate":[176],"that":[177],"approach":[179],"robust":[181],"noise":[184],"in":[185],"most":[186],"cases,":[187],"obtains":[188],"best":[190],"result":[191],"among":[192],"compared":[194],"methods":[195],"improves":[197],"state-of-the-art":[199],"performance.":[201]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}