{"id":"https://openalex.org/W2030446102","doi":"https://doi.org/10.1109/igarss.2013.6723317","title":"Improved subspace method for fully polarimetric SAR image classification","display_name":"Improved subspace method for fully polarimetric SAR image classification","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W2030446102","doi":"https://doi.org/10.1109/igarss.2013.6723317","mag":"2030446102"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2013.6723317","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2013.6723317","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS","raw_type":"proceedings-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/A5101983942","display_name":"Juan Xu","orcid":"https://orcid.org/0000-0003-3472-2055"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Juan Xu","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing, China","Inst. of the Remote Sensing & Digital Earth, Beijing, China"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Inst. of the Remote Sensing & Digital Earth, Beijing, China","institution_ids":["https://openalex.org/I4210128053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111955285","display_name":"Zhen Li","orcid":"https://orcid.org/0000-0002-9037-7092"},"institutions":[{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Li","raw_affiliation_strings":["Institute of the Remote Sensing and Digital Earth, CAS, Beijing, China","Inst. of the Remote Sensing & Digital Earth, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of the Remote Sensing and Digital Earth, CAS, Beijing, China","institution_ids":["https://openalex.org/I4210128053"]},{"raw_affiliation_string":"Inst. of the Remote Sensing & Digital Earth, Beijing, China","institution_ids":["https://openalex.org/I4210128053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087388122","display_name":"Bangsen Tian","orcid":"https://orcid.org/0000-0001-9449-0941"},"institutions":[{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bangsen Tian","raw_affiliation_strings":["Institute of the Remote Sensing and Digital Earth, CAS, Beijing, China","Inst. of the Remote Sensing & Digital Earth, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of the Remote Sensing and Digital Earth, CAS, Beijing, China","institution_ids":["https://openalex.org/I4210128053"]},{"raw_affiliation_string":"Inst. of the Remote Sensing & Digital Earth, Beijing, China","institution_ids":["https://openalex.org/I4210128053"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100377851","display_name":"Quan Chen","orcid":"https://orcid.org/0000-0002-6691-2235"},"institutions":[{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quan Chen","raw_affiliation_strings":["Institute of the Remote Sensing and Digital Earth, CAS, Beijing, China","Inst. of the Remote Sensing & Digital Earth, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of the Remote Sensing and Digital Earth, CAS, Beijing, China","institution_ids":["https://openalex.org/I4210128053"]},{"raw_affiliation_string":"Inst. of the Remote Sensing & Digital Earth, Beijing, China","institution_ids":["https://openalex.org/I4210128053"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101983942"],"corresponding_institution_ids":["https://openalex.org/I4210128053","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06920627,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"47","issue":null,"first_page":"2454","last_page":"2456"},"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":0.9994000196456909,"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":0.9994000196456909,"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":0.9933000206947327,"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":0.9925000071525574,"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/subspace-topology","display_name":"Subspace topology","score":0.7891862392425537},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.7235332727432251},{"id":"https://openalex.org/keywords/wishart-distribution","display_name":"Wishart distribution","score":0.7023991346359253},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.677485466003418},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6517350673675537},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6454833149909973},{"id":"https://openalex.org/keywords/polarimetry","display_name":"Polarimetry","score":0.6029868125915527},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5622684955596924},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5188990235328674},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5111702084541321},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.45155537128448486},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36868733167648315},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3683857321739197},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.2604706287384033},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.12691393494606018},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10963112115859985}],"concepts":[{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.7891862392425537},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.7235332727432251},{"id":"https://openalex.org/C33962027","wikidata":"https://www.wikidata.org/wiki/Q1930697","display_name":"Wishart distribution","level":3,"score":0.7023991346359253},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.677485466003418},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6517350673675537},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6454833149909973},{"id":"https://openalex.org/C28493345","wikidata":"https://www.wikidata.org/wiki/Q899381","display_name":"Polarimetry","level":3,"score":0.6029868125915527},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5622684955596924},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5188990235328674},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5111702084541321},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.45155537128448486},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36868733167648315},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3683857321739197},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.2604706287384033},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.12691393494606018},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10963112115859985},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C191486275","wikidata":"https://www.wikidata.org/wiki/Q210028","display_name":"Scattering","level":2,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2013.6723317","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2013.6723317","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","display_name":"Life below water","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1514458971","https://openalex.org/W1564660545","https://openalex.org/W1985194020","https://openalex.org/W2061460644","https://openalex.org/W2065325501","https://openalex.org/W2092071303","https://openalex.org/W2094621096","https://openalex.org/W2129038850","https://openalex.org/W6630809993"],"related_works":["https://openalex.org/W2146312983","https://openalex.org/W2389605595","https://openalex.org/W1586339758","https://openalex.org/W3131856045","https://openalex.org/W2364482911","https://openalex.org/W2078787338","https://openalex.org/W2065601395","https://openalex.org/W2123581770","https://openalex.org/W2553651735","https://openalex.org/W2610921225"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"an":[3],"improved":[4],"subspace":[5,24,30],"method":[6,25,31,37,63,74,85],"(ISM)":[7],"for":[8,44,67,86],"fully":[9,40,87],"polarimetric":[10,41,88],"synthetic":[11],"aperture":[12],"radar":[13],"(PolSAR)":[14],"image":[15,43,90],"classification,":[16],"which":[17],"is":[18,53,64,82],"a":[19,83],"combination":[20],"of":[21,49],"the":[22,27,34,45,57,72,80],"leaning":[23],"(LSM),":[26],"averaged":[28],"learning":[29],"(ALSM),":[32],"and":[33],"multiple":[35],"similarity":[36],"(MSM).":[38],"The":[39,60],"Radarsat-2":[42],"Yellow":[46],"River":[47],"Delta":[48],"northern":[50],"Shandong":[51],"Province":[52],"selected":[54],"to":[55],"evaluate":[56],"recognition":[58],"accuracy.":[59],"supervised":[61],"Wishart":[62],"also":[65],"performed":[66],"comparison.":[68],"Experimental":[69],"results":[70],"validate":[71],"proposed":[73],"yielded":[75],"better":[76],"classification":[77],"results.":[78],"Therefore,":[79],"ISM":[81],"feasible":[84],"SAR":[89],"classification.":[91]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}