{"id":"https://openalex.org/W2982791286","doi":"https://doi.org/10.1109/igarss.2019.8898594","title":"A Novel Tensor-Based Feature Extraction Method for Polsar Image Classification","display_name":"A Novel Tensor-Based Feature Extraction Method for Polsar Image Classification","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2982791286","doi":"https://doi.org/10.1109/igarss.2019.8898594","mag":"2982791286"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2019.8898594","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8898594","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","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/A5011743488","display_name":"Xiayuan Huang","orcid":"https://orcid.org/0000-0002-3325-933X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiayuan Huang","raw_affiliation_strings":["State Key Lab of Management and Control for Complex Systems, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Lab of Management and Control for Complex Systems, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049695170","display_name":"Xiangli Nie","orcid":"https://orcid.org/0000-0001-5208-4670"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangli Nie","raw_affiliation_strings":["State Key Lab of Management and Control for Complex Systems, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Lab of Management and Control for Complex Systems, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026688050","display_name":"Hong Qiao","orcid":"https://orcid.org/0000-0001-6384-3687"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Qiao","raw_affiliation_strings":["State Key Lab of Management and Control for Complex Systems, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Lab of Management and Control for Complex Systems, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100335192","display_name":"Bo Zhang","orcid":"https://orcid.org/0000-0001-7355-0941"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Zhang","raw_affiliation_strings":["State Key Lab of Scientific and Engineering Computing and Institute of Applied Mathematics, AMSS, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Lab of Scientific and Engineering Computing and Institute of Applied Mathematics, AMSS, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5011743488"],"corresponding_institution_ids":["https://openalex.org/I19820366"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07406692,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1152","last_page":"1155"},"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9965999722480774,"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/T11405","display_name":"Geophysics and Gravity Measurements","score":0.9679999947547913,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7685149312019348},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7114453911781311},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6619228720664978},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6375210285186768},{"id":"https://openalex.org/keywords/polarimetry","display_name":"Polarimetry","score":0.5806372165679932},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5600148439407349},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5094361901283264},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5027706623077393},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.48236602544784546},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4591407775878906},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4486895203590393},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41818729043006897},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.41570428013801575},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3302996754646301},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2654869556427002}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7685149312019348},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7114453911781311},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6619228720664978},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6375210285186768},{"id":"https://openalex.org/C28493345","wikidata":"https://www.wikidata.org/wiki/Q899381","display_name":"Polarimetry","level":3,"score":0.5806372165679932},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5600148439407349},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5094361901283264},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5027706623077393},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.48236602544784546},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4591407775878906},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4486895203590393},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41818729043006897},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.41570428013801575},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3302996754646301},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2654869556427002},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C191486275","wikidata":"https://www.wikidata.org/wiki/Q210028","display_name":"Scattering","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/igarss.2019.8898594","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8898594","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1991111993","https://openalex.org/W2018775529","https://openalex.org/W2048578702","https://openalex.org/W2052190325","https://openalex.org/W2053184029","https://openalex.org/W2773200021","https://openalex.org/W2774116234","https://openalex.org/W2792151357","https://openalex.org/W2893774633"],"related_works":["https://openalex.org/W1975632186","https://openalex.org/W2026860918","https://openalex.org/W3027745756","https://openalex.org/W3205213561","https://openalex.org/W2035593284","https://openalex.org/W2531880140","https://openalex.org/W2612145225","https://openalex.org/W4210966920","https://openalex.org/W2156233651","https://openalex.org/W2550009779"],"abstract_inverted_index":{"Spatial":[0],"information":[1,21,113],"helps":[2],"improve":[3,139],"the":[4,19,26,38,47,53,65,74,81,85,89,105,111,116,135,140],"performance":[5,142],"of":[6],"polarimetric":[7,23,66,90],"synthetic":[8],"aperture":[9],"radar":[10],"(PolSAR)":[11],"image":[12],"classification.":[13],"Some":[14],"existing":[15],"methods":[16],"have":[17],"combined":[18],"spatial":[20,48,100,112],"and":[22,84,114],"features":[24],"by":[25],"third-order":[27],"tensor":[28,122],"representation":[29],"for":[30,69],"feature":[31,67],"extraction.":[32],"They":[33],"describe":[34],"a":[35,99],"pixel":[36,71],"with":[37,144],"patch":[39],"centered":[40],"on":[41,64],"this":[42],"pixel.":[43],"But":[44],"they":[45],"neglect":[46],"heterogeneity,":[49],"which":[50,108],"may":[51],"influence":[52],"classification":[54,141],"performance.":[55],"Therefore,":[56],"we":[57,120],"firstly":[58],"seek":[59],"k":[60,93],"nearest":[61,82,94],"samples":[62,83,95],"based":[63],"similarity":[68],"each":[70],"to":[72,127],"construct":[73],"second-order":[75],"tensor,":[76],"whose":[77],"first":[78],"order":[79,87],"denotes":[80,88],"second":[86],"features.":[91,130],"Moreover,":[92],"are":[96],"searched":[97],"in":[98],"local":[101],"region":[102],"rather":[103],"than":[104],"full":[106],"image,":[107],"can":[109,138],"exploit":[110],"reduce":[115],"computational":[117],"burden.":[118],"Then":[119],"employ":[121],"principal":[123],"component":[124],"analysis":[125],"(TPCA)":[126],"extract":[128],"low-dimensional":[129],"Experimental":[131],"results":[132],"demonstrate":[133],"that":[134],"proposed":[136],"method":[137],"compared":[143],"other":[145],"methods.":[146]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}