{"id":"https://openalex.org/W2553720553","doi":"https://doi.org/10.1109/ijcnn.2016.7727664","title":"Superpixel-based sparse representation classifier for hyperspectral image","display_name":"Superpixel-based sparse representation classifier for hyperspectral image","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2553720553","doi":"https://doi.org/10.1109/ijcnn.2016.7727664","mag":"2553720553"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2016.7727664","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727664","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Joint Conference on Neural Networks (IJCNN)","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/A5032636287","display_name":"Min Han","orcid":"https://orcid.org/0000-0002-2964-4884"},"institutions":[{"id":"https://openalex.org/I4210092944","display_name":"Dalian University","ror":"https://ror.org/00g2ypp58","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210092944"]},{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Min Han","raw_affiliation_strings":["Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I4210092944","https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015457299","display_name":"Chengkun Zhang","orcid":"https://orcid.org/0000-0002-3188-6583"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]},{"id":"https://openalex.org/I4210092944","display_name":"Dalian University","ror":"https://ror.org/00g2ypp58","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210092944"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengkun Zhang","raw_affiliation_strings":["Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I4210092944","https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100384686","display_name":"Jun Wang","orcid":"https://orcid.org/0000-0002-1305-5735"},"institutions":[{"id":"https://openalex.org/I4210092944","display_name":"Dalian University","ror":"https://ror.org/00g2ypp58","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210092944"]},{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]},{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Jun Wang","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong","Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I4210092944","https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5032636287"],"corresponding_institution_ids":["https://openalex.org/I27357992","https://openalex.org/I4210092944"],"apc_list":null,"apc_paid":null,"fwci":0.9689,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.81759201,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"3614","last_page":"3619"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9884999990463257,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9789000153541565,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8396633863449097},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7965906858444214},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7405589818954468},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.7397464513778687},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6155941486358643},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5078564286231995},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.49826574325561523},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.48536384105682373},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4418802261352539},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.41751429438591003},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.41058480739593506},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3851985037326813},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3320969343185425},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06949609518051147}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8396633863449097},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7965906858444214},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7405589818954468},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.7397464513778687},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6155941486358643},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5078564286231995},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.49826574325561523},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.48536384105682373},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4418802261352539},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.41751429438591003},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.41058480739593506},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3851985037326813},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3320969343185425},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06949609518051147},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/ijcnn.2016.7727664","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727664","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Joint Conference on Neural Networks (IJCNN)","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":27,"referenced_works":["https://openalex.org/W1517907761","https://openalex.org/W1939429412","https://openalex.org/W1968537264","https://openalex.org/W1972524915","https://openalex.org/W1974774078","https://openalex.org/W2001298023","https://openalex.org/W2021302824","https://openalex.org/W2040812261","https://openalex.org/W2045757377","https://openalex.org/W2069959554","https://openalex.org/W2085529604","https://openalex.org/W2097915756","https://openalex.org/W2107135467","https://openalex.org/W2112589365","https://openalex.org/W2114819256","https://openalex.org/W2129812935","https://openalex.org/W2130627644","https://openalex.org/W2135431554","https://openalex.org/W2136251662","https://openalex.org/W2149298154","https://openalex.org/W2158400785","https://openalex.org/W2163886442","https://openalex.org/W2164330327","https://openalex.org/W2166923144","https://openalex.org/W2217442075","https://openalex.org/W2550337237","https://openalex.org/W6688540871"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2070598848","https://openalex.org/W2044184146","https://openalex.org/W4313014865","https://openalex.org/W2019190440","https://openalex.org/W2374021060"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,49,64,71,84,100],"novel":[4],"superpixel-based":[5],"method":[6,127],"for":[7],"the":[8,25,30,36,41,58,75,94,112,118,125,130],"classification":[9,104,113,143],"of":[10,40,67,77,103],"hyperspectral":[11,31],"image.":[12],"A":[13],"superpixel":[14,20,42,62],"segmentation":[15],"algorithm":[16,86],"called":[17,87],"entropy":[18],"rate":[19],"is":[21,54,106],"applied":[22,55],"to":[23,45,56,92,110],"extract":[24],"spatial":[26,46,131],"contextual":[27],"information":[28,132],"in":[29,74],"image,":[32],"which":[33],"can":[34,128],"change":[35],"size":[37],"and":[38,99,108,134],"shape":[39],"adaptively":[43],"according":[44],"structures.":[47],"Then,":[48],"joint":[50],"sparse":[51,78,96],"representation":[52],"model":[53],"approximate":[57],"pixels":[59],"within":[60],"each":[61],"using":[63],"certain":[65],"number":[66],"common":[68],"samples":[69],"from":[70],"given":[72],"dictionary":[73],"form":[76],"linear":[79],"combination.":[80],"Here":[81],"we":[82],"use":[83],"greedy":[85],"simultaneous":[88],"orthogonal":[89],"matching":[90],"pursuit":[91],"pursue":[93],"optimal":[95],"coefficients":[97],"matrix":[98],"new":[101],"kind":[102],"criterion":[105],"tested":[107],"used":[109],"determine":[111],"results.":[114],"Experimental":[115],"results":[116],"on":[117],"Indian":[119],"Pines":[120],"hyperspsectral":[121],"image":[122],"demonstrate":[123],"that":[124],"proposed":[126],"explore":[129],"effectively":[133],"give":[135],"promising":[136],"performance":[137],"when":[138],"compared":[139],"with":[140],"several":[141],"state-of-art":[142],"methods.":[144]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
