{"id":"https://openalex.org/W2248125770","doi":"https://doi.org/10.1109/icnc.2015.7378123","title":"Hyperspectral image classification via local receptive fields based random weights networks","display_name":"Hyperspectral image classification via local receptive fields based random weights networks","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2248125770","doi":"https://doi.org/10.1109/icnc.2015.7378123","mag":"2248125770"},"language":"en","primary_location":{"id":"doi:10.1109/icnc.2015.7378123","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc.2015.7378123","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 11th International Conference on Natural Computation (ICNC)","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/A5102017292","display_name":"Qi Lv","orcid":"https://orcid.org/0000-0003-4115-720X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qi Lv","raw_affiliation_strings":["School of Computer, National University of Defense Technology Hunan, Changsha"],"affiliations":[{"raw_affiliation_string":"School of Computer, National University of Defense Technology Hunan, Changsha","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051680867","display_name":"Yong Dou","orcid":"https://orcid.org/0000-0002-1256-8934"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Dou","raw_affiliation_strings":["School of Computer, National University of Defense Technology Hunan, Changsha"],"affiliations":[{"raw_affiliation_string":"School of Computer, National University of Defense Technology Hunan, Changsha","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103215978","display_name":"Jiaqing Xu","orcid":"https://orcid.org/0000-0002-8555-287X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaqing Xu","raw_affiliation_strings":["School of Computer, National University of Defense Technology Hunan, Changsha"],"affiliations":[{"raw_affiliation_string":"School of Computer, National University of Defense Technology Hunan, Changsha","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101665348","display_name":"Xin Niu","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Niu","raw_affiliation_strings":["School of Computer, National University of Defense Technology Hunan, Changsha"],"affiliations":[{"raw_affiliation_string":"School of Computer, National University of Defense Technology Hunan, Changsha","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100676785","display_name":"Fei Xia","orcid":"https://orcid.org/0000-0003-4343-1444"},"institutions":[{"id":"https://openalex.org/I2800710378","display_name":"Naval University of Engineering","ror":"https://ror.org/056vyez31","country_code":"CN","type":"education","lineage":["https://openalex.org/I2800710378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Xia","raw_affiliation_strings":["Electronic Engineering College, Naval University of Engineering Hubei, Wuhan"],"affiliations":[{"raw_affiliation_string":"Electronic Engineering College, Naval University of Engineering Hubei, Wuhan","institution_ids":["https://openalex.org/I2800710378"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102017292"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.15583746,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"28","issue":null,"first_page":"971","last_page":"976"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9997000098228455,"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":0.9997000098228455,"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/T10057","display_name":"Face and Expression Recognition","score":0.9872000217437744,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9810000061988831,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.8026553988456726},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7512712478637695},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.72798091173172},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7129421830177307},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6443083882331848},{"id":"https://openalex.org/keywords/receptive-field","display_name":"Receptive field","score":0.6408984065055847},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.604776918888092},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5340489149093628},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.48407140374183655},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.42481160163879395},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.4122551679611206},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35476022958755493},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.27086278796195984},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2139418125152588}],"concepts":[{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.8026553988456726},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7512712478637695},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.72798091173172},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7129421830177307},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6443083882331848},{"id":"https://openalex.org/C19071747","wikidata":"https://www.wikidata.org/wiki/Q1755207","display_name":"Receptive field","level":2,"score":0.6408984065055847},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.604776918888092},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5340489149093628},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.48407140374183655},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.42481160163879395},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.4122551679611206},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35476022958755493},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.27086278796195984},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2139418125152588},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnc.2015.7378123","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc.2015.7378123","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 11th International Conference on Natural Computation (ICNC)","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":25,"referenced_works":["https://openalex.org/W78356000","https://openalex.org/W1594551768","https://openalex.org/W1624854622","https://openalex.org/W1966184253","https://openalex.org/W1986278072","https://openalex.org/W1996640396","https://openalex.org/W2001629412","https://openalex.org/W2003066679","https://openalex.org/W2012638612","https://openalex.org/W2041530746","https://openalex.org/W2049835383","https://openalex.org/W2051404524","https://openalex.org/W2084642506","https://openalex.org/W2087263574","https://openalex.org/W2091987367","https://openalex.org/W2112796928","https://openalex.org/W2116360511","https://openalex.org/W2145889472","https://openalex.org/W2147243899","https://openalex.org/W2147860648","https://openalex.org/W2155910151","https://openalex.org/W2163153337","https://openalex.org/W2260859552","https://openalex.org/W6603161775","https://openalex.org/W6682126434"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W2953234277","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2748667022","https://openalex.org/W3211770882","https://openalex.org/W2010629964","https://openalex.org/W2983135586"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3],"classification":[4,44,53,103],"approach":[5],"for":[6,76],"hyperspectral":[7],"image":[8],"using":[9],"the":[10,29,40,47,80,86,91,97,100],"local":[11,19,30,48],"receptive":[12,20,49],"fields":[13],"based":[14],"random":[15],"weights":[16],"networks.":[17],"The":[18,51,69],"field":[21],"concept":[22],"originates":[23],"from":[24],"research":[25],"in":[26],"neuroscience.":[27],"Considering":[28],"correlations":[31],"of":[32,42,56,99],"spectral":[33],"features,":[34],"it":[35],"is":[36,83],"promising":[37],"to":[38],"improve":[39],"performance":[41],"HSI":[43,102],"by":[45],"introducing":[46],"fields.":[50],"proposed":[52,101],"framework":[54],"consists":[55],"four":[57],"layers,":[58],"i.e.,":[59],"input":[60],"layer,":[61,63,65],"convolution":[62,70],"pooling":[64,72],"and":[66,71,79],"output":[67],"layer.":[68],"layer":[73,82],"are":[74],"used":[75,84],"feature":[77],"extracting":[78],"last":[81],"as":[85],"classifier.":[87],"Experimental":[88],"results":[89],"on":[90],"ROSIS":[92],"Pavia":[93],"University":[94],"dataset":[95],"confirm":[96],"effectiveness":[98],"method.":[104]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
