{"id":"https://openalex.org/W2018257962","doi":"https://doi.org/10.1109/icip.2014.7026039","title":"Classification of hyperspectral image based on deep belief networks","display_name":"Classification of hyperspectral image based on deep belief networks","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2018257962","doi":"https://doi.org/10.1109/icip.2014.7026039","mag":"2018257962"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2014.7026039","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7026039","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","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/A5100462533","display_name":"Tong Li","orcid":"https://orcid.org/0000-0002-0363-6755"},"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":true,"raw_author_name":"Tong Li","raw_affiliation_strings":["School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China","[School of Electronics and Information Eng, Harbin Institute of Technology, Harbin, China]"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"[School of Electronics and Information Eng, Harbin Institute of Technology, Harbin, China]","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100696425","display_name":"Junping Zhang","orcid":"https://orcid.org/0000-0002-1082-114X"},"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":"Junping Zhang","raw_affiliation_strings":["School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China","[School of Electronics and Information Eng, Harbin Institute of Technology, Harbin, China]"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"[School of Electronics and Information Eng, Harbin Institute of Technology, Harbin, China]","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100449291","display_name":"Ye Zhang","orcid":"https://orcid.org/0000-0001-8721-4535"},"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":"Ye Zhang","raw_affiliation_strings":["School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China","[School of Electronics and Information Eng, Harbin Institute of Technology, Harbin, China]"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"[School of Electronics and Information Eng, Harbin Institute of Technology, Harbin, China]","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100462533"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":12.546,"has_fulltext":false,"cited_by_count":206,"citation_normalized_percentile":{"value":0.98729345,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"5132","last_page":"5136"},"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":0.9973000288009644,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9958999752998352,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8869859576225281},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8263479471206665},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7878307700157166},{"id":"https://openalex.org/keywords/deep-belief-network","display_name":"Deep belief network","score":0.7564443349838257},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.7051491141319275},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.6957770586013794},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6757186055183411},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.6334239840507507},{"id":"https://openalex.org/keywords/restricted-boltzmann-machine","display_name":"Restricted Boltzmann machine","score":0.5659529566764832},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.55963534116745},{"id":"https://openalex.org/keywords/boltzmann-machine","display_name":"Boltzmann machine","score":0.5386014580726624},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4894193708896637},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.4854651093482971},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.4828839600086212},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4375080466270447},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43460729718208313},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43057894706726074},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4304293096065521},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.42428457736968994}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8869859576225281},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8263479471206665},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7878307700157166},{"id":"https://openalex.org/C97385483","wikidata":"https://www.wikidata.org/wiki/Q16954980","display_name":"Deep belief network","level":3,"score":0.7564443349838257},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.7051491141319275},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.6957770586013794},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6757186055183411},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.6334239840507507},{"id":"https://openalex.org/C199354608","wikidata":"https://www.wikidata.org/wiki/Q7316287","display_name":"Restricted Boltzmann machine","level":3,"score":0.5659529566764832},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.55963534116745},{"id":"https://openalex.org/C192576344","wikidata":"https://www.wikidata.org/wiki/Q194706","display_name":"Boltzmann machine","level":3,"score":0.5386014580726624},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4894193708896637},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.4854651093482971},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.4828839600086212},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4375080466270447},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43460729718208313},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43057894706726074},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4304293096065521},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.42428457736968994},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"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},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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:10.1109/icip.2014.7026039","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7026039","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320309549","display_name":"University of Houston","ror":"https://ror.org/040vwpm13"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1821811819","https://openalex.org/W1973445088","https://openalex.org/W2072128103","https://openalex.org/W2100495367","https://openalex.org/W2101926813","https://openalex.org/W2116064496","https://openalex.org/W2116402476","https://openalex.org/W2124537004","https://openalex.org/W2131697388","https://openalex.org/W2163922914","https://openalex.org/W2492307518","https://openalex.org/W4231109964"],"related_works":["https://openalex.org/W2064630666","https://openalex.org/W3121598771","https://openalex.org/W2287713958","https://openalex.org/W2513801676","https://openalex.org/W2916681395","https://openalex.org/W3010338767","https://openalex.org/W1257380361","https://openalex.org/W2133034788","https://openalex.org/W3005559199","https://openalex.org/W2892911634"],"abstract_inverted_index":{"Generally,":[0],"dimensionality":[1],"reduction":[2],"methods,":[3],"such":[4],"as":[5,18,27,76,116],"Principle":[6],"Component":[7],"Analysis":[8],"(PCA)":[9],"and":[10,62,80,104],"Negative":[11],"Matrix":[12],"Factorization":[13],"(NMF),":[14],"are":[15,70,85,114],"always":[16],"applied":[17],"the":[19,30,37,45,77,94,121,125],"preprocessing":[20],"part":[21],"in":[22,36,72,93],"hyperspectral":[23,73,90],"image":[24,74],"classification":[25,81,97,113],"so":[26],"to":[28],"classify":[29],"constituent":[31],"elements":[32],"of":[33,47,124],"every":[34],"pixel":[35],"scene":[38],"efficiently.":[39],"The":[40,83,118],"results,":[41],"however,":[42],"would":[43],"suffer":[44],"loss":[46],"detailed":[48],"information":[49],"inevitably.":[50],"In":[51],"this":[52],"paper,":[53],"deep":[54,64,66],"learning":[55],"frameworks,":[56],"restricted":[57],"Boltzmann":[58],"machine":[59],"(RBM)":[60],"model":[61],"its":[63],"structure":[65],"belief":[67],"networks":[68],"(DBN),":[69],"introduced":[71],"processing":[75],"feature":[78,108],"extraction":[79,109],"approach.":[82,127],"experiments":[84],"conducted":[86],"on":[87],"an":[88],"airborne":[89],"image.":[91],"Further":[92],"experiments,":[95],"spatial-spectral":[96],"is":[98],"also":[99],"practiced.":[100],"Meanwhile,":[101],"SVM":[102],"with":[103],"without":[105],"some":[106],"classical":[107],"methods":[110],"adopting":[111],"before":[112],"employed":[115],"comparison.":[117],"results":[119],"show":[120],"superior":[122],"performance":[123],"proposed":[126]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":39},{"year":2022,"cited_by_count":25},{"year":2021,"cited_by_count":23},{"year":2020,"cited_by_count":27},{"year":2019,"cited_by_count":22},{"year":2018,"cited_by_count":19},{"year":2017,"cited_by_count":14},{"year":2016,"cited_by_count":13},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}