{"id":"https://openalex.org/W3135763601","doi":"https://doi.org/10.1080/2150704x.2021.1895448","title":"Slow feature extraction for hyperspectral image classification","display_name":"Slow feature extraction for hyperspectral image classification","publication_year":2021,"publication_date":"2021-03-10","ids":{"openalex":"https://openalex.org/W3135763601","doi":"https://doi.org/10.1080/2150704x.2021.1895448","mag":"3135763601"},"language":"en","primary_location":{"id":"doi:10.1080/2150704x.2021.1895448","doi":"https://doi.org/10.1080/2150704x.2021.1895448","is_oa":false,"landing_page_url":"https://doi.org/10.1080/2150704x.2021.1895448","pdf_url":null,"source":{"id":"https://openalex.org/S2494614724","display_name":"Remote Sensing Letters","issn_l":"2150-704X","issn":["2150-704X","2150-7058"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-c","jufo-1","norway-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing Letters","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"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/A5039991862","display_name":"Bing Liu","orcid":"https://orcid.org/0000-0003-0848-8453","observed_orcids":["https://orcid.org/0000-0003-0848-8453"]},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Liu","raw_affiliation_strings":["PLA Strategic Support Force Information Engineering University, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PLA Strategic Support Force Information Engineering University, Zhengzhou, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069652653","display_name":"Anzhu Yu","orcid":"https://orcid.org/0000-0002-3332-9668","observed_orcids":["https://orcid.org/0000-0002-3332-9668"]},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Anzhu Yu","raw_affiliation_strings":["PLA Strategic Support Force Information Engineering University, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PLA Strategic Support Force Information Engineering University, Zhengzhou, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001486765","display_name":"Xiong Tan","orcid":"https://orcid.org/0000-0001-7070-2102","observed_orcids":["https://orcid.org/0000-0001-7070-2102"]},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiong Tan","raw_affiliation_strings":["PLA Strategic Support Force Information Engineering University, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PLA Strategic Support Force Information Engineering University, Zhengzhou, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108272110","display_name":"Ruirui Wang","orcid":"https://orcid.org/0009-0001-2246-0820","observed_orcids":["https://orcid.org/0009-0001-2246-0820"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ruirui Wang","raw_affiliation_strings":["Institute of Surveying Mapping and Geo Information of Henan, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Surveying Mapping and Geo Information of Henan, Zhengzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5069652653"],"corresponding_institution_ids":["https://openalex.org/I169689159"],"apc_list":null,"apc_paid":null,"fwci":0.3834,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.52428833,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":95},"biblio":{"volume":"12","issue":"5","first_page":"429","last_page":"438"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9994999766349792,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.0,"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-image-classification","display_name":"hyperspectral image classification","score":0.9319999814033508},{"id":"https://openalex.org/keywords/small-sample-size-problem","display_name":"small sample size problem","score":0.7229999899864197},{"id":"https://openalex.org/keywords/spectral-spatial-features","display_name":"spectral-spatial features","score":0.902999997138977},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"dimensionality reduction","score":0.8379999995231628},{"id":"https://openalex.org/keywords/manual-feature-extraction","display_name":"manual feature extraction","score":0.6499999761581421}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7606186866760254},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7492129802703857},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7363457679748535},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.7080470323562622},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.659759521484375},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6456843018531799},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5380584001541138},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5145377516746521},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.38314735889434814},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21367394924163818},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/2150704x.2021.1895448","doi":"https://doi.org/10.1080/2150704x.2021.1895448","is_oa":false,"landing_page_url":"https://doi.org/10.1080/2150704x.2021.1895448","pdf_url":null,"source":{"id":"https://openalex.org/S2494614724","display_name":"Remote Sensing Letters","issn_l":"2150-704X","issn":["2150-704X","2150-7058"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-c","jufo-1","norway-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G8948110484","display_name":null,"funder_award_id":"Grant 41801388","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":27,"referenced_works":["https://openalex.org/W2043665634","https://openalex.org/W2077028485","https://openalex.org/W2134969826","https://openalex.org/W2146444479","https://openalex.org/W2151665594","https://openalex.org/W2152057649","https://openalex.org/W2500751094","https://openalex.org/W2620547787","https://openalex.org/W2768537477","https://openalex.org/W2800371750","https://openalex.org/W2893756180","https://openalex.org/W2898204262","https://openalex.org/W2902788350","https://openalex.org/W2912269676","https://openalex.org/W2917503437","https://openalex.org/W2972505576","https://openalex.org/W2991494819","https://openalex.org/W2999232510","https://openalex.org/W3006984222","https://openalex.org/W3011406170","https://openalex.org/W3028636477","https://openalex.org/W3035254352","https://openalex.org/W3036632808","https://openalex.org/W3037584636","https://openalex.org/W3100006985","https://openalex.org/W4200394859","https://openalex.org/W4320339642"],"related_works":["https://openalex.org/W3211463094","https://openalex.org/W2553962113","https://openalex.org/W4396732044","https://openalex.org/W4390236223","https://openalex.org/W2917503437","https://openalex.org/W4404585582","https://openalex.org/W2894561647","https://openalex.org/W7166109293","https://openalex.org/W4214493077","https://openalex.org/W3036014187"],"abstract_inverted_index":{"Recent":[0],"research":[1],"on":[2,10],"hyperspectral":[3],"image":[4],"(HSI)":[5],"classification":[6,21,32,67,77,106,112,136],"has":[7],"primarily":[8],"focused":[9],"deep":[11],"learning":[12],"methods.":[13],"Although":[14],"these":[15],"methods":[16],"can":[17,74,127],"automatically":[18],"mine":[19],"HSI":[20,50,66,105,120,135],"features,":[22],"they":[23],"typically":[24],"require":[25],"many":[26],"labelled":[27,38],"samples":[28],"to":[29],"ensure":[30],"sufficient":[31],"performance.":[33],"When":[34],"there":[35],"are":[36,47],"fewer":[37],"training":[39],"samples,":[40],"the":[41,53,95,100,104,111,124,130],"manual":[42],"feature":[43,60,87,101,131],"extraction":[44,61],"design":[45],"rules":[46],"critical":[48],"for":[49,65,103],"classification.":[51],"Considering":[52],"small":[54],"sample":[55],"problem,":[56],"a":[57],"slow":[58,81,86],"spatial\u2013spectral":[59,82],"method":[62,73,126],"is":[63,89,108],"proposed":[64,72,125],"in":[68],"this":[69],"study.":[70],"The":[71,84,114],"achieve":[75],"high":[76],"accuracy":[78],"by":[79],"using":[80],"features.":[83],"extracted":[85],"dimension":[88,102],"much":[90],"lower":[91],"than":[92],"that":[93,123],"of":[94,117],"original":[96],"spectral":[97],"feature.":[98],"Thus,":[99],"task":[107],"reduced,":[109],"improving":[110],"efficiency.":[113],"experimental":[115],"results":[116],"two":[118],"real":[119],"datasets":[121],"demonstrate":[122],"significantly":[128],"reduce":[129],"dimensions":[132],"and":[133],"improve":[134],"accuracy.":[137]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2021-03-15T00:00:00"}