{"id":"https://openalex.org/W2144197818","doi":"https://doi.org/10.1109/igarss.2009.5417829","title":"Forest type discrimination using polarimetric Radarsat 2 data","display_name":"Forest type discrimination using polarimetric Radarsat 2 data","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W2144197818","doi":"https://doi.org/10.1109/igarss.2009.5417829","mag":"2144197818"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2009.5417829","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2009.5417829","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 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/A5112117461","display_name":"Maosong Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134523","display_name":"State Forestry and Grassland Administration","ror":"https://ror.org/03f2n3n81","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134523"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Maosong Xu","raw_affiliation_strings":["Academy of Forestry Inventory, State Forestry Administration (SFA), China","Academy of Forestry Inventory, Planning and Designing, State Forestry Administration (SFA), China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Academy of Forestry Inventory, State Forestry Administration (SFA), China","institution_ids":["https://openalex.org/I4210134523"]},{"raw_affiliation_string":"Academy of Forestry Inventory, Planning and Designing, State Forestry Administration (SFA), China","institution_ids":["https://openalex.org/I4210134523"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052279736","display_name":"Fengli Zhang","orcid":"https://orcid.org/0000-0001-7923-5627"},"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/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengli Zhang","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Remote Sensing Applications, Beijing, China","State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences, 3 Datun Road, Chaoyang District, Beijing 100101, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Remote Sensing Applications, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210166112"]},{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences, 3 Datun Road, Chaoyang District, Beijing 100101, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018636697","display_name":"Zhongsheng Xia","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114148","display_name":"Guizhou Forestry Science Research Institute","ror":"https://ror.org/026a9y278","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210093694","https://openalex.org/I4210114148"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongsheng Xia","raw_affiliation_strings":["Forest Resource Management and Conservation Station, Guizhou Province, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Forest Resource Management and Conservation Station, Guizhou Province, China","institution_ids":["https://openalex.org/I4210114148"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090658456","display_name":"Chou Xie","orcid":"https://orcid.org/0000-0003-4788-1530"},"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/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chou Xie","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Remote Sensing Applications, Beijing, China","State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences, 3 Datun Road, Chaoyang District, Beijing 100101, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Remote Sensing Applications, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210166112"]},{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences, 3 Datun Road, Chaoyang District, Beijing 100101, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059913596","display_name":"Xiaofang Li","orcid":"https://orcid.org/0000-0002-3150-9198"},"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/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofang Li","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Remote Sensing Applications, Beijing, China","State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences, 3 Datun Road, Chaoyang District, Beijing 100101, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Remote Sensing Applications, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210166112"]},{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences, 3 Datun Road, Chaoyang District, Beijing 100101, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061542161","display_name":"Kun Lit","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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Lit","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences, 3 Datun Road, Chaoyang District, Beijing 100101, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences, 3 Datun Road, Chaoyang District, Beijing 100101, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005494478","display_name":"Zi Want","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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zi Want","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences, 3 Datun Road, Chaoyang District, Beijing 100101, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences, 3 Datun Road, Chaoyang District, Beijing 100101, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047605711","display_name":"Huaze Gongt","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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaze Gongt","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences, 3 Datun Road, Chaoyang District, Beijing 100101, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences, 3 Datun Road, Chaoyang District, Beijing 100101, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086027128","display_name":"Wei Tiant","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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Tiant","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences, 3 Datun Road, Chaoyang District, Beijing 100101, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences, 3 Datun Road, Chaoyang District, Beijing 100101, China","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15723794,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"III","last_page":"601"},"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":0.9997000098228455,"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":0.9997000098228455,"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":0.9840999841690063,"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/T11312","display_name":"Soil Moisture and Remote Sensing","score":0.9796000123023987,"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/polarimetry","display_name":"Polarimetry","score":0.8877946138381958},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.7852011919021606},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6938808560371399},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.4654902219772339},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.431851863861084},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.42799991369247437},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3748718500137329},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2631126642227173},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14865639805793762},{"id":"https://openalex.org/keywords/scattering","display_name":"Scattering","score":0.07594665884971619},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.05755740404129028}],"concepts":[{"id":"https://openalex.org/C28493345","wikidata":"https://www.wikidata.org/wiki/Q899381","display_name":"Polarimetry","level":3,"score":0.8877946138381958},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.7852011919021606},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6938808560371399},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.4654902219772339},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.431851863861084},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.42799991369247437},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3748718500137329},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2631126642227173},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14865639805793762},{"id":"https://openalex.org/C191486275","wikidata":"https://www.wikidata.org/wiki/Q210028","display_name":"Scattering","level":2,"score":0.07594665884971619},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.05755740404129028},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2009.5417829","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2009.5417829","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.47999998927116394,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"},{"score":0.4300000071525574,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1977438473","https://openalex.org/W2038222372","https://openalex.org/W2051986600","https://openalex.org/W2078985447","https://openalex.org/W2087576533","https://openalex.org/W2108347507","https://openalex.org/W2141348340","https://openalex.org/W2153124553","https://openalex.org/W2170612061"],"related_works":["https://openalex.org/W2026860918","https://openalex.org/W2035593284","https://openalex.org/W3193043704","https://openalex.org/W4386259002","https://openalex.org/W1546989560","https://openalex.org/W2612145225","https://openalex.org/W2225281849","https://openalex.org/W3171520305","https://openalex.org/W2161058488","https://openalex.org/W4252699458"],"abstract_inverted_index":{"In":[0],"the":[1,33,53,142,160],"south":[2],"of":[3,17,35,45,55,68],"China,":[4],"synthetic":[5],"aperture":[6],"radar":[7],"(SAR)":[8],"provides":[9],"a":[10],"powerful":[11],"tool":[12],"for":[13,60,82,103,135],"forestry":[14],"inventory":[15],"because":[16],"its":[18],"all-weather":[19],"and":[20,47,80,107,111,152],"all-day":[21],"capabilities.":[22],"Nevertheless":[23],"previous":[24],"single":[25],"or":[26],"dual":[27],"polarization":[28],"SAR":[29,40,147],"data":[30,41,59,96,148],"cannot":[31],"meet":[32],"requirements":[34],"forest":[36,61,66,104,119,136],"type":[37,62,120],"classification.":[38],"Polarimetric":[39,146],"contained":[42],"more":[43,153],"information":[44],"targets":[46],"in":[48,159],"this":[49],"paper":[50],"we":[51],"investigated":[52],"capability":[54],"polarimetric":[56,83,93,101,109,125],"Radarsat":[57,94,126],"2":[58,95,127],"discrimination.":[63],"Taking":[64],"Zhazuo":[65],"farm":[67],"Guizhou":[69],"Province":[70],"as":[71],"study":[72],"area,":[73],"an":[74],"8-temporal":[75],"field":[76],"experiment":[77],"was":[78,97],"designed":[79],"used":[81],"backscattering":[84],"signatures":[85],"analysis":[86],"based":[87],"on":[88],"MIMICS":[89],"model.":[90],"Then":[91],"two-temporal":[92],"analyzed":[98],"to":[99,141],"extract":[100],"variables":[102],"species":[105,137],"discrimination,":[106],"then":[108],"decomposition":[110],"classification":[112,155],"were":[113],"carried":[114],"out.":[115],"Experiments":[116],"prove":[117],"that":[118],"can":[121],"be":[122],"discriminated":[123],"using":[124],"data,":[128],"but":[129],"it":[130],"is":[131],"not":[132],"very":[133],"effective":[134],"identification":[138],"mainly":[139],"due":[140],"spatial":[143],"resolution":[144,151],"limitation.":[145],"with":[149],"higher":[150],"complicated":[154],"methods":[156],"are":[157],"needed":[158],"future.":[161]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
