{"id":"https://openalex.org/W2122314989","doi":"https://doi.org/10.1109/tgrs.2010.2041239","title":"An Efficient and Flexible Statistical Model Based on Generalized Gamma Distribution for Amplitude SAR Images","display_name":"An Efficient and Flexible Statistical Model Based on Generalized Gamma Distribution for Amplitude SAR Images","publication_year":2010,"publication_date":"2010-03-24","ids":{"openalex":"https://openalex.org/W2122314989","doi":"https://doi.org/10.1109/tgrs.2010.2041239","mag":"2122314989"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2010.2041239","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2010.2041239","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","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/A5015155189","display_name":"Heng-Chao Li","orcid":"https://orcid.org/0000-0002-9735-570X"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heng-Chao Li","raw_affiliation_strings":["Sichuan Provincial Key Laboratory of Information Coding and Transmission, Southwest Jiaotong University, Chengdu, China","Sichuan Provincial Key Lab. of Inf. Coding & Transm., Southwest Jiaotong Univ., Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sichuan Provincial Key Laboratory of Information Coding and Transmission, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]},{"raw_affiliation_string":"Sichuan Provincial Key Lab. of Inf. Coding & Transm., Southwest Jiaotong Univ., Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112078435","display_name":"Wen Hong","orcid":"https://orcid.org/0000-0002-1025-9812"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210110458","display_name":"Institute of Electronics","ror":"https://ror.org/01z143507","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210110458"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Hong","raw_affiliation_strings":["National Key Laboratory of Microwave Imaging Technology, Institute of Electronics, Chinese Academy and Sciences, Beijing, China","Nat. Key Lab. of Microwave Imaging Technol., Chinese Acad. of Sci., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Microwave Imaging Technology, Institute of Electronics, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210110458"]},{"raw_affiliation_string":"Nat. Key Lab. of Microwave Imaging Technol., Chinese Acad. of Sci., Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100560808","display_name":"Yirong Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210110458","display_name":"Institute of Electronics","ror":"https://ror.org/01z143507","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210110458"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi-Rong Wu","raw_affiliation_strings":["National Key Laboratory of Microwave Imaging Technology, Institute of Electronics, Chinese Academy and Sciences, Beijing, China","Nat. Key Lab. of Microwave Imaging Technol., Chinese Acad. of Sci., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Microwave Imaging Technology, Institute of Electronics, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210110458"]},{"raw_affiliation_string":"Nat. Key Lab. of Microwave Imaging Technol., Chinese Acad. of Sci., Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101880047","display_name":"Pingzhi Fan","orcid":"https://orcid.org/0000-0002-8281-6251"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping-Zhi Fan","raw_affiliation_strings":["Sichuan Provincial Key Laboratory of Information Coding and Transmission, Southwest Jiaotong University, Chengdu, China","Sichuan Provincial Key Lab. of Inf. Coding & Transm., Southwest Jiaotong Univ., Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sichuan Provincial Key Laboratory of Information Coding and Transmission, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]},{"raw_affiliation_string":"Sichuan Provincial Key Lab. of Inf. Coding & Transm., Southwest Jiaotong Univ., Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.1377,"has_fulltext":false,"cited_by_count":91,"citation_normalized_percentile":{"value":0.96009012,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"48","issue":"6","first_page":"2711","last_page":"2722"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9937000274658203,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9886999726295471,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/generalized-gamma-distribution","display_name":"Generalized gamma distribution","score":0.9011993408203125},{"id":"https://openalex.org/keywords/rayleigh-distribution","display_name":"Rayleigh distribution","score":0.7616155743598938},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.694342315196991},{"id":"https://openalex.org/keywords/gamma-distribution","display_name":"Gamma distribution","score":0.6706335544586182},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.6153607964515686},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5578567981719971},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5098940134048462},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.49883604049682617},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.4953540861606598},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49389058351516724},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49204227328300476},{"id":"https://openalex.org/keywords/generalized-normal-distribution","display_name":"Generalized normal distribution","score":0.47032630443573},{"id":"https://openalex.org/keywords/k-distribution","display_name":"K-distribution","score":0.45024797320365906},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.45010870695114136},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.44763123989105225},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.42792263627052307},{"id":"https://openalex.org/keywords/amplitude","display_name":"Amplitude","score":0.4250567555427551},{"id":"https://openalex.org/keywords/parametric-model","display_name":"Parametric model","score":0.42162948846817017},{"id":"https://openalex.org/keywords/normal-distribution","display_name":"Normal distribution","score":0.3441930413246155},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3263450264930725},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3202871084213257},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.16606855392456055},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16238507628440857},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.11058184504508972}],"concepts":[{"id":"https://openalex.org/C42337464","wikidata":"https://www.wikidata.org/wiki/Q5532478","display_name":"Generalized gamma distribution","level":3,"score":0.9011993408203125},{"id":"https://openalex.org/C40940223","wikidata":"https://www.wikidata.org/wiki/Q637150","display_name":"Rayleigh distribution","level":3,"score":0.7616155743598938},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.694342315196991},{"id":"https://openalex.org/C149717495","wikidata":"https://www.wikidata.org/wiki/Q117806","display_name":"Gamma distribution","level":2,"score":0.6706335544586182},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.6153607964515686},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5578567981719971},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5098940134048462},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.49883604049682617},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.4953540861606598},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49389058351516724},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49204227328300476},{"id":"https://openalex.org/C171383496","wikidata":"https://www.wikidata.org/wiki/Q2497477","display_name":"Generalized normal distribution","level":3,"score":0.47032630443573},{"id":"https://openalex.org/C128963836","wikidata":"https://www.wikidata.org/wiki/Q6322815","display_name":"K-distribution","level":3,"score":0.45024797320365906},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.45010870695114136},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.44763123989105225},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.42792263627052307},{"id":"https://openalex.org/C180205008","wikidata":"https://www.wikidata.org/wiki/Q159190","display_name":"Amplitude","level":2,"score":0.4250567555427551},{"id":"https://openalex.org/C24574437","wikidata":"https://www.wikidata.org/wiki/Q7135228","display_name":"Parametric model","level":3,"score":0.42162948846817017},{"id":"https://openalex.org/C102094743","wikidata":"https://www.wikidata.org/wiki/Q133871","display_name":"Normal distribution","level":2,"score":0.3441930413246155},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3263450264930725},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3202871084213257},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.16606855392456055},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16238507628440857},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.11058184504508972},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2010.2041239","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2010.2041239","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320318240","display_name":"European Space Agency","ror":"https://ror.org/03wd9za21"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W568876203","https://openalex.org/W1484664922","https://openalex.org/W1536252645","https://openalex.org/W1540920731","https://openalex.org/W1554663460","https://openalex.org/W1579271636","https://openalex.org/W1648445109","https://openalex.org/W1917198097","https://openalex.org/W1996176293","https://openalex.org/W2010766870","https://openalex.org/W2018414925","https://openalex.org/W2018543755","https://openalex.org/W2021026488","https://openalex.org/W2024527993","https://openalex.org/W2024665095","https://openalex.org/W2044921373","https://openalex.org/W2045660292","https://openalex.org/W2050913223","https://openalex.org/W2056902548","https://openalex.org/W2061220758","https://openalex.org/W2074319623","https://openalex.org/W2094417396","https://openalex.org/W2096011446","https://openalex.org/W2118020555","https://openalex.org/W2121928666","https://openalex.org/W2134392507","https://openalex.org/W2142500924","https://openalex.org/W2144615653","https://openalex.org/W2147150612","https://openalex.org/W2148603752","https://openalex.org/W2150566919","https://openalex.org/W2153320667","https://openalex.org/W2158347164","https://openalex.org/W2160216316","https://openalex.org/W2162520685","https://openalex.org/W2164453045","https://openalex.org/W2169164332","https://openalex.org/W2488678869","https://openalex.org/W2544525880","https://openalex.org/W3016843226","https://openalex.org/W4239875977","https://openalex.org/W4285719527","https://openalex.org/W4388297464","https://openalex.org/W6729644233"],"related_works":["https://openalex.org/W2162520685","https://openalex.org/W2921898747","https://openalex.org/W2884465017","https://openalex.org/W2135077566","https://openalex.org/W1991526242","https://openalex.org/W2183622585","https://openalex.org/W2330428578","https://openalex.org/W2328340313","https://openalex.org/W4292980980","https://openalex.org/W2122314989"],"abstract_inverted_index":{"In":[0,22],"the":[1,12,51,57,66,86,100,117,134,139],"context":[2],"of":[3,15,56,81,104,119,138],"synthetic":[4],"aperture":[5],"radar":[6],"(SAR)":[7],"image":[8],"processing":[9],"and":[10,27,53,68,136],"applications,":[11],"precise":[13],"modeling":[14],"statistical":[16,29,102],"knowledge":[17],"is":[18,41,63,92,114],"a":[19,45,95,107],"crucial":[20],"problem.":[21],"this":[23],"paper,":[24],"an":[25],"efficient":[26],"flexible":[28],"model,":[30],"called":[31],"generalized":[32,47,71],"Gamma":[33,48],"Rayleigh":[34,67,73],"(G\u00bfR)":[35],"distribution,":[36],"for":[37,50,99,116],"amplitude":[38],"SAR":[39,59,105,128],"images":[40,129],"proposed":[42,70,140],"by":[43],"assuming":[44],"two-sided":[46],"distribution":[49],"real":[52],"imaginary":[54],"parts":[55],"complex":[58],"backscattered":[60],"signal.":[61],"It":[62],"shown":[64],"that":[65,85],"recently":[69],"Gaussian":[72],"distributions":[74],"can":[75],"be":[76],"regarded":[77],"as":[78,94],"special":[79],"cases":[80],"G\u00bfR":[82,120],"distribution.":[83,121],"Considering":[84],"probability":[87],"density":[88],"function":[89],"estimation":[90,97],"problem":[91],"formulated":[93],"parameter":[96],"one":[98],"parametric":[101],"analysis":[103],"images,":[106],"two-stage":[108],"estimator":[109],"based":[110],"on":[111,125],"second-kind":[112],"cumulants":[113],"derived":[115],"parameters":[118],"Furthermore,":[122],"experimental":[123],"results":[124],"several":[126],"actual":[127],"are":[130],"given":[131],"to":[132],"demonstrate":[133],"validity":[135],"flexibility":[137],"model.":[141]},"counts_by_year":[{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":10},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":9}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}