{"id":"https://openalex.org/W2907572110","doi":"https://doi.org/10.1109/tgrs.2018.2852644","title":"Machine Learning-Assisted Analysis of Polarimetric Scattering From Cylindrical Components of Vegetation","display_name":"Machine Learning-Assisted Analysis of Polarimetric Scattering From Cylindrical Components of Vegetation","publication_year":2018,"publication_date":"2018-07-31","ids":{"openalex":"https://openalex.org/W2907572110","doi":"https://doi.org/10.1109/tgrs.2018.2852644","mag":"2907572110"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2018.2852644","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2018.2852644","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/A5100353673","display_name":"Hao Chen","orcid":"https://orcid.org/0009-0001-6480-7976"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Chen","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100604024","display_name":"Chao Yang","orcid":"https://orcid.org/0000-0003-3052-3091"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Yang","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100663784","display_name":"Yang Du","orcid":"https://orcid.org/0000-0003-1394-6359"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Du","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1394-6359","affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":1.558,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.8033423,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"57","issue":"1","first_page":"155","last_page":"165"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11312","display_name":"Soil Moisture and Remote Sensing","score":0.9983999729156494,"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"}},"topics":[{"id":"https://openalex.org/T11312","display_name":"Soil Moisture and Remote Sensing","score":0.9983999729156494,"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"}},{"id":"https://openalex.org/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9975000023841858,"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/T10770","display_name":"Soil Geostatistics and Mapping","score":0.993399977684021,"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/scattering","display_name":"Scattering","score":0.7244531512260437},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6403457522392273},{"id":"https://openalex.org/keywords/polarimetry","display_name":"Polarimetry","score":0.5977509617805481},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.5290051102638245},{"id":"https://openalex.org/keywords/cylinder","display_name":"Cylinder","score":0.5033048987388611},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4292377829551697},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4230383038520813},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33199116587638855},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.30049318075180054},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.24931779503822327},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2325524389743805},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20310533046722412},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.1693871021270752},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11463382840156555}],"concepts":[{"id":"https://openalex.org/C191486275","wikidata":"https://www.wikidata.org/wiki/Q210028","display_name":"Scattering","level":2,"score":0.7244531512260437},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6403457522392273},{"id":"https://openalex.org/C28493345","wikidata":"https://www.wikidata.org/wiki/Q899381","display_name":"Polarimetry","level":3,"score":0.5977509617805481},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.5290051102638245},{"id":"https://openalex.org/C203311528","wikidata":"https://www.wikidata.org/wiki/Q34132","display_name":"Cylinder","level":2,"score":0.5033048987388611},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4292377829551697},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4230383038520813},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33199116587638855},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.30049318075180054},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.24931779503822327},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2325524389743805},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20310533046722412},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.1693871021270752},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11463382840156555}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2018.2852644","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2018.2852644","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":[{"display_name":"Life in Land","score":0.550000011920929,"id":"https://metadata.un.org/sdg/15"}],"awards":[{"id":"https://openalex.org/G2244304411","display_name":"\u690d\u88ab\u8986\u76d6\u5730\u8868\u7535\u78c1\u6a21\u578b\u4e0e\u571f\u58e4\u6c34\u5206\u53cd\u6f14\u7814\u7a76","funder_award_id":"41371334","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3502873597","display_name":null,"funder_award_id":"41771367","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1533861849","https://openalex.org/W1588167619","https://openalex.org/W1965186154","https://openalex.org/W1995213241","https://openalex.org/W1998272721","https://openalex.org/W2001916353","https://openalex.org/W2003223064","https://openalex.org/W2004637623","https://openalex.org/W2032159941","https://openalex.org/W2099614632","https://openalex.org/W2116372096","https://openalex.org/W2129723190","https://openalex.org/W2132318328","https://openalex.org/W2134567583","https://openalex.org/W2136684099","https://openalex.org/W2141348340","https://openalex.org/W2194775991","https://openalex.org/W2319957484","https://openalex.org/W2419175238","https://openalex.org/W2559394418","https://openalex.org/W2585152223","https://openalex.org/W2593439307","https://openalex.org/W2736722410","https://openalex.org/W6631943919"],"related_works":["https://openalex.org/W2225281849","https://openalex.org/W2612145225","https://openalex.org/W2161058488","https://openalex.org/W2032438448","https://openalex.org/W2389173272","https://openalex.org/W2939295242","https://openalex.org/W2035593284","https://openalex.org/W4311567418","https://openalex.org/W5556119","https://openalex.org/W1609357736"],"abstract_inverted_index":{"Reliable":[0],"and":[1,89,125,148],"efficient":[2],"analysis":[3,33],"of":[4,10,18,34,57,87,100,108,141,159,180],"electromagnetic":[5],"scattering":[6,37,74,98,145],"by":[7],"cylindrical":[8],"components":[9],"vegetation":[11],"is":[12,48,111,132,153],"important":[13],"for":[14,31,115,128,177,195],"microwave":[15],"remote":[16],"sensing":[17],"vegetated":[19],"terrain.":[20],"In":[21,169],"this":[22],"paper,":[23],"we":[24],"proposed":[25,172],"a":[26,39,101],"machine":[27],"learning":[28,142],"(ML)":[29],"scheme":[30,82,135,174],"the":[32,51,58,71,85,94,116,121,134,139,143,157,171,178,181,187,193],"polarimetric":[35,96],"bistatic":[36,97,144],"from":[38],"finite":[40,102],"dielectric":[41,103],"cylinder.":[42,104],"A":[43],"deep":[44],"neural":[45,59],"network":[46],"architecture":[47],"adopted":[49],"in":[50],"hope":[52],"that":[53],"with":[54],"increased":[55,62],"depth":[56],"network,":[60],"hence":[61],"abstraction":[63],"capability,":[64],"it":[65,165],"may":[66],"be":[67,162,164],"able":[68],"to":[69,76,92,120,161],"handle":[70],"highly":[72],"oscillatory":[73],"patterns":[75,99],"an":[77],"adequately":[78],"acceptable":[79],"degree.":[80],"The":[81,105,151],"has":[83,136],"demonstrated":[84,138],"capability":[86,140],"modifying":[88],"adapting":[90],"itself":[91],"capture":[93],"complicated":[95],"physical":[106],"consideration":[107],"reciprocity":[109],"relation":[110],"largely":[112],"fulfilled":[113],"except":[114],"scattered":[117],"directions":[118],"close":[119],"cylinder":[122],"axis.":[123],"Moreover":[124],"more":[126],"importantly,":[127],"cases":[129],"where":[130,186],"interpolation":[131],"expected,":[133],"unambiguously":[137],"cross":[146],"section":[147],"phase":[149],"patterns.":[150],"performance":[152],"also":[154],"robust":[155],"against":[156],"number":[158],"parameters":[160],"interpolated,":[163],"single":[166],"or":[167],"multiple.":[168],"summary,":[170],"ML":[173],"bodes":[175],"well":[176],"design":[179],"future":[182],"physically":[183],"based":[184],"algorithms":[185],"conventional":[188],"datacube":[189],"was":[190],"used":[191],"as":[192],"base":[194],"interpolation.":[196]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":5}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
