{"id":"https://openalex.org/W2561436483","doi":"https://doi.org/10.1109/lgrs.2016.2633322","title":"Fast Low-Rank Decomposition Model-Based Hyperspectral Image Classification Method","display_name":"Fast Low-Rank Decomposition Model-Based Hyperspectral Image Classification Method","publication_year":2016,"publication_date":"2016-12-21","ids":{"openalex":"https://openalex.org/W2561436483","doi":"https://doi.org/10.1109/lgrs.2016.2633322","mag":"2561436483"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2016.2633322","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2016.2633322","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-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/A5033765068","display_name":"Chen Fen","orcid":"https://orcid.org/0000-0002-6957-7532"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fen Chen","raw_affiliation_strings":["School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046408141","display_name":"Peng Zhao","orcid":"https://orcid.org/0000-0003-2361-6521"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Zhao","raw_affiliation_strings":["School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016953231","display_name":"Ting Tang","orcid":"https://orcid.org/0000-0001-6398-050X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Feng Tang","raw_affiliation_strings":["School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019017581","display_name":"Yan Zhou","orcid":"https://orcid.org/0000-0002-5534-7955"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Zhou","raw_affiliation_strings":["School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5033765068"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.9689,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.82080726,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"14","issue":"2","first_page":"169","last_page":"173"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9778000116348267,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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":0.9763000011444092,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8937419056892395},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.8093304634094238},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7018691301345825},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6078118085861206},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5763235688209534},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5468043088912964},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.5062567591667175},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4947223365306854},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25997865200042725}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8937419056892395},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.8093304634094238},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7018691301345825},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6078118085861206},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5763235688209534},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5468043088912964},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.5062567591667175},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4947223365306854},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25997865200042725},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2016.2633322","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2016.2633322","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G1346026180","display_name":null,"funder_award_id":"41471332","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G310515294","display_name":null,"funder_award_id":"41371399","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6331845809","display_name":null,"funder_award_id":"41371398","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1974774078","https://openalex.org/W2017856447","https://openalex.org/W2085642706","https://openalex.org/W2097915756","https://openalex.org/W2119058682","https://openalex.org/W2144348684","https://openalex.org/W2145962650","https://openalex.org/W2245956216","https://openalex.org/W2546808233","https://openalex.org/W4320800818"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2070598848","https://openalex.org/W3034375524","https://openalex.org/W2027399350","https://openalex.org/W2060875994","https://openalex.org/W2044184146","https://openalex.org/W2019190440","https://openalex.org/W3034864990","https://openalex.org/W2067727414"],"abstract_inverted_index":{"In":[0,84,96],"hyperspectral":[1,20,110],"image":[2,10,21,64],"classification,":[3],"jointly":[4,51,128,172,203],"using":[5],"the":[6,15,54,63,100,109,119,131,145,168,171,180,188,202,209,214,217,220],"pixels":[7,61,120],"in":[8,62,82,121],"an":[9],"patch":[11],"can":[12,40,140],"generally":[13],"improve":[14],"performance.":[16],"Recently,":[17],"a":[18,89,185,226],"new":[19],"classification":[22,48,138],"method,":[23,99],"which":[24,77],"is":[25,69,104,207,211],"based":[26],"on":[27],"low-rank":[28,101],"decomposition":[29,102],"model,":[30],"was":[31],"proposed":[32,88,136],"by":[33,50,148],"Chen":[34,149],"et":[35,150],"al.":[36,151],"Although":[37],"this":[38,85,94,97],"algorithm":[39],"achieve":[41,141],"state-of-the-art":[42],"performance":[43,143,169,189],"and":[44,57,129,178],"outperform":[45],"many":[46,113],"contemporary":[47],"techniques":[49],"classifying":[52],"both":[53],"central":[55],"pixel":[56],"its":[58,66,73,79],"similar":[59,116,123,142],"neighboring":[60],"patch,":[65],"computational":[67,156],"load":[68],"heavy":[70],"due":[71],"to":[72,107,213],"pixelwise":[74],"processing":[75],"scheme,":[76],"limits":[78],"possible":[80],"applications":[81],"practice.":[83],"letter,":[86],"we":[87],"fast":[90],"groupwise":[91,137],"version":[92],"of":[93,115,170,182,216,222],"method.":[95],"improved":[98],"model":[103,175,206],"first":[105],"used":[106],"partition":[108],"scene":[111],"into":[112],"groups":[114],"pixels.":[117],"Then,":[118],"each":[122],"group":[124],"would":[125,176,190],"be":[126],"classified":[127],"assigned":[130],"same":[132],"class":[133],"label.":[134],"The":[135],"method":[139],"with":[144,153],"approach":[146],"described":[147],"but":[152],"much":[154],"reduced":[155],"load.":[157],"Our":[158,195],"results":[159,197],"demonstrate":[160,199],"that":[161],"when":[162,179,201],"more":[163],"observations":[164,183,218,223],"are":[165],"simultaneously":[166],"used,":[167,208],"sparse":[173,204],"regression":[174,205],"increase,":[177],"number":[181,221],"reaches":[184],"certain":[186,227],"amount,":[187],"no":[191],"longer":[192],"increase":[193],"significantly.":[194],"experimental":[196],"also":[198],"that,":[200],"quality":[210],"preferred":[212],"quantity":[215],"after":[219],"has":[224],"reached":[225],"amount.":[228]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"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"}
