{"id":"https://openalex.org/W2025092107","doi":"https://doi.org/10.1109/igarss.2014.6947057","title":"Feature extraction and classification of PolSAR images based on sparse representation","display_name":"Feature extraction and classification of PolSAR images based on sparse representation","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2025092107","doi":"https://doi.org/10.1109/igarss.2014.6947057","mag":"2025092107"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2014.6947057","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2014.6947057","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 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/A5052182532","display_name":"Lamei Zhang","orcid":"https://orcid.org/0000-0002-3595-0001"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I46247651","display_name":"University of Manitoba","ror":"https://ror.org/02gfys938","country_code":"CA","type":"education","lineage":["https://openalex.org/I46247651"]}],"countries":["CA","CN"],"is_corresponding":false,"raw_author_name":"Lamei Zhang","raw_affiliation_strings":["Department of Geological Sciences, University of Manitoba, Winnipeg, MB, Canada","Dept. of Information Engineering, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geological Sciences, University of Manitoba, Winnipeg, MB, Canada","institution_ids":["https://openalex.org/I46247651"]},{"raw_affiliation_string":"Dept. of Information Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100914412","display_name":"Liangjie Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangjie Sun","raw_affiliation_strings":["Dept. of Information Engineering, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Information Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034120222","display_name":"Wooil M. Moon","orcid":null},"institutions":[{"id":"https://openalex.org/I46247651","display_name":"University of Manitoba","ror":"https://ror.org/02gfys938","country_code":"CA","type":"education","lineage":["https://openalex.org/I46247651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Wooil M. Moon","raw_affiliation_strings":["Department of Geological Sciences, University of Manitoba, Winnipeg, MB, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geological Sciences, University of Manitoba, Winnipeg, MB, Canada","institution_ids":["https://openalex.org/I46247651"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.6034,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.97326744,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2798","last_page":"2801"},"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":1.0,"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":1.0,"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":0.9986000061035156,"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":0.9955999851226807,"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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7661082744598389},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7165782451629639},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6207026243209839},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.617030680179596},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5073801875114441},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.5037524104118347},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.46154218912124634},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.44608914852142334},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.43769511580467224},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4170233905315399},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2906205654144287},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.09380665421485901}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7661082744598389},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7165782451629639},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6207026243209839},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.617030680179596},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5073801875114441},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.5037524104118347},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.46154218912124634},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.44608914852142334},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.43769511580467224},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4170233905315399},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2906205654144287},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.09380665421485901},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2014.6947057","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2014.6947057","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1985194020","https://openalex.org/W2018818941","https://openalex.org/W2044465660","https://openalex.org/W2053913485","https://openalex.org/W2065614769","https://openalex.org/W2074866567","https://openalex.org/W2078985447","https://openalex.org/W2090403289","https://openalex.org/W2113156691","https://openalex.org/W2129812935","https://openalex.org/W2140569042","https://openalex.org/W2151169541","https://openalex.org/W2171056811","https://openalex.org/W6685123207"],"related_works":["https://openalex.org/W1975632186","https://openalex.org/W3027745756","https://openalex.org/W3205213561","https://openalex.org/W2531880140","https://openalex.org/W2126145365","https://openalex.org/W2036609560","https://openalex.org/W346861917","https://openalex.org/W3024018414","https://openalex.org/W1542592062","https://openalex.org/W4390143830"],"abstract_inverted_index":{"In":[0],"this":[1,66],"paper,":[2],"a":[3],"supervised":[4],"PolSAR":[5,37,139],"images":[6,38],"classification":[7,104],"method":[8,108,137],"based":[9,18],"on":[10,19],"sparse":[11],"representation":[12],"is":[13,109],"proposed.":[14],"Firstly,":[15],"Polarimetric":[16],"decomposition":[17,24],"Multiple-component":[20],"Scattering":[21],"Model,":[22],"Cloude-Pottier":[23],"and":[25,65,101,124,132],"Gray-level":[26],"Co-occurrence":[27],"Matrix":[28],"are":[29,46,57],"implemented":[30],"to":[31,87],"obtain":[32,102],"features":[33],"which":[34,53],"can":[35,67,98],"describe":[36],"at":[39],"multiple":[40],"aspects.":[41],"Then,":[42],"the":[43,54,58,62,79,82,91,95,103,112,125,130,135],"training":[44,63,84,93],"samples":[45,64,85],"represented":[47],"in":[48,52,138],"an":[49],"overcomplete":[50],"dictionary":[51],"basic":[55],"elements":[56],"feature":[59],"vectors":[60],"of":[61,81,120,134],"be":[68,99],"computed":[69],"by":[70,111],"minimize":[71],"l":[72],"<sup":[73],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[74],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>":[75],"-norm.":[76],"Through":[77],"comparing":[78],"residuals":[80],"reconstructed":[83],"corresponding":[86],"different":[88],"classes":[89],"with":[90],"original":[92],"sample,":[94],"optimization":[96],"problem":[97],"solved":[100],"result.":[105],"The":[106],"proposed":[107,136],"validated":[110],"Danish":[113],"EMISAR":[114],"L-band":[115],"fully":[116],"polarimetric":[117],"SAR":[118],"data":[119],"Foulum":[121],"Area":[122],"(DK)":[123],"preliminary":[126],"experimental":[127],"results":[128],"confirm":[129],"performance":[131],"potential":[133],"image":[140],"interpretation.":[141]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}