{"id":"https://openalex.org/W2982164462","doi":"https://doi.org/10.1109/lgrs.2019.2937601","title":"Feature Extraction of Hyperspectral Images Based on Deep Boltzmann Machine","display_name":"Feature Extraction of Hyperspectral Images Based on Deep Boltzmann Machine","publication_year":2019,"publication_date":"2019-10-22","ids":{"openalex":"https://openalex.org/W2982164462","doi":"https://doi.org/10.1109/lgrs.2019.2937601","mag":"2982164462"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2019.2937601","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2019.2937601","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/A5073160686","display_name":"Jiangong Yang","orcid":"https://orcid.org/0000-0002-0696-2425"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"funder","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiangong Yang","raw_affiliation_strings":["Key Laboratory of Modern Teaching Technology, Ministry of Education, Xi\u2019an, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Modern Teaching Technology, Ministry of Education, Xi\u2019an, China","institution_ids":["https://openalex.org/I1327237609"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028142707","display_name":"Yanhui Guo","orcid":"https://orcid.org/0000-0002-5444-3822"},"institutions":[{"id":"https://openalex.org/I4210151294","display_name":"Shandong Women\u2019s University","ror":"https://ror.org/03rp8h078","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151294"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanhui Guo","raw_affiliation_strings":["School of Data and Computer Science, Shandong Women\u2019s University, Ji\u2019nan, China"],"affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Shandong Women\u2019s University, Ji\u2019nan, China","institution_ids":["https://openalex.org/I4210151294"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101494201","display_name":"Xili Wang","orcid":"https://orcid.org/0000-0003-3412-2471"},"institutions":[{"id":"https://openalex.org/I88830068","display_name":"Shaanxi Normal University","ror":"https://ror.org/0170z8493","country_code":"CN","type":"education","lineage":["https://openalex.org/I88830068"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xili Wang","raw_affiliation_strings":["School of Computer Science, Shaanxi Normal University, Xi\u2019an, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Shaanxi Normal University, Xi\u2019an, China","institution_ids":["https://openalex.org/I88830068"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5073160686"],"corresponding_institution_ids":["https://openalex.org/I1327237609"],"apc_list":null,"apc_paid":null,"fwci":1.4284,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.84815606,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"17","issue":"6","first_page":"1077","last_page":"1081"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":1.0,"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"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9962999820709229,"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":0.994700014591217,"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/feature-extraction","display_name":"Feature extraction","score":0.802869439125061},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7978087663650513},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7911961078643799},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7400648593902588},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7019718885421753},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6248536705970764},{"id":"https://openalex.org/keywords/boltzmann-machine","display_name":"Boltzmann machine","score":0.480996698141098},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.4738999903202057},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4685407876968384},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.4500999450683594},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3734617829322815},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34889620542526245}],"concepts":[{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.802869439125061},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7978087663650513},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7911961078643799},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7400648593902588},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7019718885421753},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6248536705970764},{"id":"https://openalex.org/C192576344","wikidata":"https://www.wikidata.org/wiki/Q194706","display_name":"Boltzmann machine","level":3,"score":0.480996698141098},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4738999903202057},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4685407876968384},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.4500999450683594},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3734617829322815},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34889620542526245},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2019.2937601","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2019.2937601","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":[],"awards":[{"id":"https://openalex.org/G1068298742","display_name":null,"funder_award_id":"61701289","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G290262397","display_name":null,"funder_award_id":"41471280","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7302895873","display_name":null,"funder_award_id":"61701290","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":24,"referenced_works":["https://openalex.org/W189596042","https://openalex.org/W2004104348","https://openalex.org/W2015415108","https://openalex.org/W2018168021","https://openalex.org/W2020084465","https://openalex.org/W2029316659","https://openalex.org/W2037034832","https://openalex.org/W2075505763","https://openalex.org/W2090424610","https://openalex.org/W2098136451","https://openalex.org/W2117731089","https://openalex.org/W2125188192","https://openalex.org/W2136922672","https://openalex.org/W2140340527","https://openalex.org/W2162698522","https://openalex.org/W2183325870","https://openalex.org/W2321627895","https://openalex.org/W2472919595","https://openalex.org/W2500751094","https://openalex.org/W2519420704","https://openalex.org/W2767805377","https://openalex.org/W2794633256","https://openalex.org/W4247811648","https://openalex.org/W6607775107"],"related_works":["https://openalex.org/W2132083814","https://openalex.org/W2292979300","https://openalex.org/W2137369096","https://openalex.org/W1995622179","https://openalex.org/W1484111231","https://openalex.org/W1552543208","https://openalex.org/W2074396517","https://openalex.org/W2166963679","https://openalex.org/W2187269125","https://openalex.org/W1641615907"],"abstract_inverted_index":{"High":[0],"dimensionality":[1],"and":[2,47,58,89,97,117,120],"lack":[3],"of":[4,50,92,129,138],"labeled":[5,111],"samples":[6,112],"are":[7,61,113,124,132],"the":[8,29,36,44,51,54,87,93,105,118,136,139],"difficulties":[9],"in":[10],"feature":[11,23,71,140],"extraction":[12,24,141],"for":[13,115],"hyperspectral":[14],"image":[15],"(HSI)":[16],"processing.":[17],"In":[18],"this":[19],"letter,":[20],"a":[21,69,109],"deep-learning-based":[22],"method":[25],"is":[26,32],"proposed.":[27],"First,":[28],"guided":[30],"filter":[31],"used":[33],"to":[34,67,134],"preprocess":[35],"original":[37],"HSI":[38],"data.":[39],"The":[40,77],"result":[41],"data":[42,96],"contain":[43],"joint":[45],"spectral":[46],"spatial":[48],"information":[49],"objects.":[52],"Second,":[53],"local":[55,88,119],"receptive":[56],"field":[57],"weight":[59],"sharing":[60],"introduced":[62],"into":[63],"deep":[64],"Boltzmann":[65],"machine(DBM)":[66],"establish":[68],"novel":[70],"extractor,":[72],"called":[73],"local-global":[74],"DBM":[75],"(LGDBM).":[76],"LGDBM":[78],"has":[79,100],"two":[80],"advantages:":[81],"1)":[82],"it":[83,99],"can":[84],"learn":[85],"both":[86],"global":[90,121],"features":[91,123],"high-dimensional":[94],"input":[95],"2)":[98],"much":[101],"fewer":[102],"parameters":[103],"than":[104],"DBM.":[106],"Therefore,":[107],"only":[108],"few":[110],"needed":[114],"training,":[116],"spectral-spatial":[122],"extracted":[125],"intrinsically.":[126],"A":[127],"group":[128],"classification":[130],"experiments":[131],"performed":[133],"evaluate":[135],"advantages":[137],"method.":[142]},"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":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
