{"id":"https://openalex.org/W4387829398","doi":"https://doi.org/10.1109/igarss52108.2023.10282315","title":"Classification Performance Comparison of Time-Variant Scattering Features of Multi-Temporal Polarimetric SAR Data","display_name":"Classification Performance Comparison of Time-Variant Scattering Features of Multi-Temporal Polarimetric SAR Data","publication_year":2023,"publication_date":"2023-07-16","ids":{"openalex":"https://openalex.org/W4387829398","doi":"https://doi.org/10.1109/igarss52108.2023.10282315"},"language":"en","primary_location":{"id":"doi:10.1109/igarss52108.2023.10282315","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss52108.2023.10282315","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 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/A5019969308","display_name":"Li Gao","orcid":"https://orcid.org/0000-0003-2465-5784"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Gao","raw_affiliation_strings":["Beijing University of Chemical Technology,College of Information Science and Technology,Beijing,P.R. China,100029"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Chemical Technology,College of Information Science and Technology,Beijing,P.R. China,100029","institution_ids":["https://openalex.org/I75390827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046523138","display_name":"Zhiyuan Lin","orcid":"https://orcid.org/0000-0001-6752-3226"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyuan Lin","raw_affiliation_strings":["Beijing University of Chemical Technology,College of Information Science and Technology,Beijing,P.R. China,100029"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Chemical Technology,College of Information Science and Technology,Beijing,P.R. China,100029","institution_ids":["https://openalex.org/I75390827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080264682","display_name":"Qiang Yin","orcid":"https://orcid.org/0000-0002-9541-8260"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Yin","raw_affiliation_strings":["Beijing University of Chemical Technology,College of Information Science and Technology,Beijing,P.R. China,100029"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Chemical Technology,College of Information Science and Technology,Beijing,P.R. China,100029","institution_ids":["https://openalex.org/I75390827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101750735","display_name":"Wen Hong","orcid":"https://orcid.org/0000-0002-8645-2264"},"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/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Hong","raw_affiliation_strings":["Chinese Academy of Sciences,Aerospace Information Research Institute,Beijing,P.R. China,100094"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Aerospace Information Research Institute,Beijing,P.R. China,100094","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"8050","last_page":"8053"},"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":0.9988999962806702,"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":0.9988999962806702,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9891999959945679,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9768999814987183,"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/polarimetry","display_name":"Polarimetry","score":0.7091963291168213},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6601032614707947},{"id":"https://openalex.org/keywords/scattering","display_name":"Scattering","score":0.5298970341682434},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5272243022918701},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.49134793877601624},{"id":"https://openalex.org/keywords/terrain","display_name":"Terrain","score":0.4864806830883026},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.47670310735702515},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47005999088287354},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.452738881111145},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4473596215248108},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.4430927634239197},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3305216431617737},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17744794487953186},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1160428524017334},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.06627693772315979},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.06534719467163086}],"concepts":[{"id":"https://openalex.org/C28493345","wikidata":"https://www.wikidata.org/wiki/Q899381","display_name":"Polarimetry","level":3,"score":0.7091963291168213},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6601032614707947},{"id":"https://openalex.org/C191486275","wikidata":"https://www.wikidata.org/wiki/Q210028","display_name":"Scattering","level":2,"score":0.5298970341682434},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5272243022918701},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.49134793877601624},{"id":"https://openalex.org/C161840515","wikidata":"https://www.wikidata.org/wiki/Q186131","display_name":"Terrain","level":2,"score":0.4864806830883026},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.47670310735702515},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47005999088287354},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.452738881111145},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4473596215248108},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.4430927634239197},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3305216431617737},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17744794487953186},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1160428524017334},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.06627693772315979},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.06534719467163086},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss52108.2023.10282315","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss52108.2023.10282315","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2041241239","https://openalex.org/W2150705511","https://openalex.org/W2971582660","https://openalex.org/W2984346297","https://openalex.org/W3016230869","https://openalex.org/W3086741196","https://openalex.org/W4312669952","https://openalex.org/W4312698276","https://openalex.org/W4312718759","https://openalex.org/W4362500735","https://openalex.org/W4367146905"],"related_works":["https://openalex.org/W4399671601","https://openalex.org/W1992962589","https://openalex.org/W3032871857","https://openalex.org/W2026860918","https://openalex.org/W1743191351","https://openalex.org/W2035593284","https://openalex.org/W3104633800","https://openalex.org/W3023567978","https://openalex.org/W3044778482","https://openalex.org/W3040494141"],"abstract_inverted_index":{"The":[0],"multi-temporal":[1,41,74,88],"polarimetric":[2,42,89],"SAR":[3,43,90],"data":[4,60,84,116,149],"provides":[5],"the":[6,21,25,37,46,59,67,70,78,82,101,107,125,135,140,144],"difference":[7,148],"of":[8,24,36,40,48,69,147],"scattering":[9,98,120],"characteristics":[10,23,72],"in":[11],"time":[12,49,96],"dimension":[13,52],"for":[14,54,87,119],"terrain":[15],"classification,":[16],"hence":[17],"it":[18,131],"could":[19],"reflect":[20],"time-variant":[22],"same":[26],"scene.":[27],"Based":[28],"on":[29,81],"this":[30,92],"advantage,":[31],"crop":[32],"classification":[33,55,141,145],"is":[34,117,132,152],"one":[35],"important":[38],"applications":[39],"data.":[44,75],"However,":[45],"features":[47,127],"and":[50,143],"polarization":[51],"used":[53],"basically":[56],"are":[57],"from":[58],"at":[61],"each":[62],"certain":[63],"time,":[64],"which":[65],"lack":[66],"interpretation":[68],"variant":[71,97],"between":[73],"To":[76],"solve":[77],"problem,":[79],"based":[80],"specific":[83],"representation":[85,150],"models":[86,151],"data,":[91],"paper":[93],"extracts":[94],"new":[95],"features,":[99],"including":[100],"change":[102,108,121],"type":[103],"as":[104,106],"well":[105],"direction":[109],"(increase":[110],"or":[111],"decrease).":[112],"Time":[113],"series":[114],"Radarsat-2":[115],"applied":[118],"interpretation.":[122],"By":[123],"using":[124],"proposed":[126],"to":[128],"classify":[129],"crops,":[130],"proved":[133],"that":[134],"method":[136],"can":[137],"effectively":[138],"improve":[139],"accuracy,":[142],"performance":[146],"compared.":[153]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}