{"id":"https://openalex.org/W4403390858","doi":"https://doi.org/10.1109/tgrs.2024.3479724","title":"Complex Isotropic \u03b1-Stable-Rician Model for Heterogeneous SAR Images","display_name":"Complex Isotropic \u03b1-Stable-Rician Model for Heterogeneous SAR Images","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4403390858","doi":"https://doi.org/10.1109/tgrs.2024.3479724"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3479724","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3479724","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/A5063975379","display_name":"Mutong Li","orcid":"https://orcid.org/0009-0008-1026-2959"},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]},{"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":"Mutong Li","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0009-0008-1026-2959","affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038228706","display_name":"Er\u00e7an E. Kuruo\u011flu","orcid":"https://orcid.org/0000-0002-2608-8034"},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]},{"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":"Ercan E. Kuruoglu","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-2608-8034","affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5063975379"],"corresponding_institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17429577,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9871000051498413,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9871000051498413,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9639000296592712,"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"}},{"id":"https://openalex.org/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9424999952316284,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5191211104393005},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5061530470848083},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.49100950360298157},{"id":"https://openalex.org/keywords/isotropy","display_name":"Isotropy","score":0.4131259024143219},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2800951600074768},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12386015057563782},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.1076270043849945}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5191211104393005},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5061530470848083},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.49100950360298157},{"id":"https://openalex.org/C184050105","wikidata":"https://www.wikidata.org/wiki/Q273163","display_name":"Isotropy","level":2,"score":0.4131259024143219},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2800951600074768},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12386015057563782},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.1076270043849945}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3479724","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3479724","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":[{"id":"https://openalex.org/G2041783856","display_name":null,"funder_award_id":"QD2022024C","funder_id":"https://openalex.org/F4320337986","funder_display_name":"Tsinghua Shenzhen International Graduate School"},{"id":"https://openalex.org/G7802060344","display_name":null,"funder_award_id":"JCYJ20220530143002005","funder_id":"https://openalex.org/F4320336569","funder_display_name":"Shenzhen Science and Technology Innovation Program"}],"funders":[{"id":"https://openalex.org/F4320336569","display_name":"Shenzhen Science and Technology Innovation Program","ror":null},{"id":"https://openalex.org/F4320337986","display_name":"Tsinghua Shenzhen International Graduate School","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W333519721","https://openalex.org/W1972485395","https://openalex.org/W1996176293","https://openalex.org/W2022894179","https://openalex.org/W2044399223","https://openalex.org/W2045345437","https://openalex.org/W2082294317","https://openalex.org/W2096011446","https://openalex.org/W2102567944","https://openalex.org/W2114509411","https://openalex.org/W2117311204","https://openalex.org/W2129889116","https://openalex.org/W2134392507","https://openalex.org/W2142500924","https://openalex.org/W2144615653","https://openalex.org/W2150666871","https://openalex.org/W2155070223","https://openalex.org/W2158347164","https://openalex.org/W2565960758","https://openalex.org/W2994879628","https://openalex.org/W3015405886","https://openalex.org/W3034459090","https://openalex.org/W3156461826","https://openalex.org/W4205637966","https://openalex.org/W4210783142","https://openalex.org/W6611342056"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2794789911","https://openalex.org/W4298134547","https://openalex.org/W2122976425","https://openalex.org/W2088773039","https://openalex.org/W2284229495","https://openalex.org/W4382753160","https://openalex.org/W1994881304","https://openalex.org/W4252699458"],"abstract_inverted_index":{"This":[0],"article":[1],"introduces":[2],"a":[3,53,97,130],"novel":[4,73],"probability":[5],"distribution":[6,50],"model,":[7],"namely,":[8],"complex":[9],"isotropic":[10],"<inline-formula":[11,43],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[12,19,44,117,166],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[13,20,45,118,167],"<tex-math":[14,21,46,119,168],"notation=\"LaTeX\">$\\alpha":[15,22,47,120,169],"$":[16,23,48,121,170],"</tex-math></inline-formula>-Stable-Rician":[17],"(CI<inline-formula":[18],"</tex-math></inline-formula>SR),":[24],"for":[25],"characterizing":[26],"the":[27,41,58,79,94,115,164,177],"data":[28,113],"histogram":[29],"of":[30,69,81,83,87,129,133,158],"synthetic":[31],"aperture":[32],"radar":[33],"(SAR)":[34],"images.":[35],"Having":[36],"its":[37],"foundation":[38],"situated":[39],"on":[40,78,107],"L\u00e9vy":[42],"</tex-math></inline-formula>-stable":[49],"suggested":[51],"by":[52,143],"generalized":[54],"central":[55],"limit":[56],"theorem,":[57],"model":[59,95,172],"promises":[60],"great":[61],"potential":[62,179],"in":[63,96,126,181],"accurately":[64],"capturing":[65],"SAR":[66,112,153],"image":[67],"features":[68],"extreme":[70],"heterogeneity.":[71],"A":[72],"parameter":[74],"estimation":[75],"method":[76,82],"based":[77,106],"generalization":[80],"moments":[84],"to":[85,92,161,175],"expectations":[86],"Bessel":[88],"functions":[89],"is":[90],"devised":[91],"resolve":[93],"relatively":[98],"compact":[99],"and":[100,110,174,183],"computationally":[101],"efficient":[102],"manner.":[103],"Experimental":[104],"results":[105],"both":[108],"simulated":[109],"empirical":[111],"exhibit":[114],"CI<inline-formula":[116,165],"</tex-math></inline-formula>SR":[122,171],"model\u2019s":[123,178],"superior":[124],"capacity":[125],"modeling":[127],"scenes":[128,160],"wide":[131],"range":[132],"heterogeneity":[134],"when":[135],"compared":[136],"with":[137],"other":[138],"state-of-the-art":[139],"models":[140],"as":[141],"quantified":[142],"various":[144],"performance":[145],"metrics.":[146],"Additional":[147],"experiments":[148],"are":[149],"conducted":[150],"utilizing":[151],"large-swath":[152],"images,":[154],"which":[155],"encompass":[156],"mixtures":[157],"several":[159],"help":[162],"interpret":[163],"parameters":[173],"demonstrate":[176],"application":[180],"segmentation":[182],"target":[184],"detection.":[185]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}