{"id":"https://openalex.org/W2565015337","doi":"https://doi.org/10.1145/3007669.3007742","title":"A multi-label Hyperspectral image classification method with deep learning features","display_name":"A multi-label Hyperspectral image classification method with deep learning features","publication_year":2016,"publication_date":"2016-08-19","ids":{"openalex":"https://openalex.org/W2565015337","doi":"https://doi.org/10.1145/3007669.3007742","mag":"2565015337"},"language":"en","primary_location":{"id":"doi:10.1145/3007669.3007742","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3007669.3007742","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Internet Multimedia Computing and Service","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100390421","display_name":"Cong Wang","orcid":"https://orcid.org/0000-0001-5164-7988"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cong Wang","raw_affiliation_strings":["School of Computer Science and technology, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and technology, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100779162","display_name":"Peng Zhang","orcid":"https://orcid.org/0000-0001-5267-0936"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Zhang","raw_affiliation_strings":["School of Computer Science and technology, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and technology, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028235866","display_name":"Yanning Zhang","orcid":"https://orcid.org/0000-0002-2977-8057"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanning Zhang","raw_affiliation_strings":["School of Computer Science and technology, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and technology, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101988754","display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0002-3254-223X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhang","raw_affiliation_strings":["School of Computer Science and technology, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and technology, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100323672","display_name":"Wei Wei","orcid":"https://orcid.org/0000-0002-0655-056X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wei","raw_affiliation_strings":["School of Computer Science and technology, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and technology, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"127","last_page":"131"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9815999865531921,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9782999753952026,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9154733419418335},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.8384221792221069},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8276944756507874},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7089143991470337},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6831966042518616},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.5089190006256104},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4544232189655304},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4484288692474365},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.440848171710968},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4401877224445343},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41260457038879395}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9154733419418335},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.8384221792221069},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8276944756507874},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7089143991470337},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6831966042518616},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.5089190006256104},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4544232189655304},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4484288692474365},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.440848171710968},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4401877224445343},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41260457038879395},{"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:10.1145/3007669.3007742","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3007669.3007742","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Internet Multimedia Computing and Service","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7886771451","display_name":null,"funder_award_id":"No. 61231016, 61301192, 61301194 and 61571362","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":23,"referenced_works":["https://openalex.org/W1521436688","https://openalex.org/W1567302070","https://openalex.org/W1576462183","https://openalex.org/W1959608418","https://openalex.org/W1999954155","https://openalex.org/W2004990382","https://openalex.org/W2025768430","https://openalex.org/W2029316659","https://openalex.org/W2052684427","https://openalex.org/W2082025208","https://openalex.org/W2090424610","https://openalex.org/W2091682231","https://openalex.org/W2097018403","https://openalex.org/W2111560151","https://openalex.org/W2134789674","https://openalex.org/W2136251662","https://openalex.org/W2145094598","https://openalex.org/W2257669061","https://openalex.org/W2342780536","https://openalex.org/W2886152354","https://openalex.org/W2963745697","https://openalex.org/W2997574889","https://openalex.org/W4321850558"],"related_works":["https://openalex.org/W2159052453","https://openalex.org/W3013693939","https://openalex.org/W2566616303","https://openalex.org/W3131327266","https://openalex.org/W2072166414","https://openalex.org/W2752972570","https://openalex.org/W4297051394","https://openalex.org/W3209970181","https://openalex.org/W2669956259","https://openalex.org/W4249005693"],"abstract_inverted_index":{"Hyperspectral":[0],"image":[1,53],"(HSI)":[2],"classification":[3,54],"is":[4,37,69],"an":[5,46],"important":[6],"application":[7],"of":[8,86,122],"HSI":[9],"analysis,":[10],"which":[11,80],"aims":[12],"at":[13],"assigning":[14,30],"a":[15,31,50,91],"class":[16],"label":[17,33],"to":[18,34,71],"each":[19,35,76,102],"pixel.":[20],"However,":[21],"considering":[22],"that":[23],"mixed":[24,88],"pixels":[25,89],"commonly":[26],"exist":[27],"in":[28,45,60,90],"HSI,":[29,47],"unique":[32],"pixel":[36,77,103],"imprecise.":[38],"To":[39],"better":[40],"analysis":[41],"the":[42,84,87,109,120,123],"scene":[43],"imaged":[44],"we":[48],"propose":[49],"multi-label":[51,97],"hyperspectral":[52,113,117],"approach":[55],"based":[56],"on":[57,108],"deep":[58,73],"learning":[59],"this":[61],"study.":[62],"First,":[63],"stacked":[64],"denoising":[65],"autoencoder":[66],"(SDAE)":[67],"method":[68,100],"used":[70],"extract":[72],"features":[74],"for":[75],"without":[78],"supervision,":[79],"can":[81],"well":[82],"represent":[83],"nonlinearity":[85],"high":[92],"dimensional":[93],"feature":[94],"space.":[95],"Then,":[96],"logistic":[98],"regression":[99],"assigns":[101],"multi":[104],"labels.":[105],"Experimental":[106],"results":[107],"synthetic":[110],"data,":[111],"real":[112],"data":[114,118],"and":[115],"down-sampling":[116],"demonstrate":[119],"effectiveness":[121],"proposed":[124],"method.":[125]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}