{"id":"https://openalex.org/W2981735460","doi":"https://doi.org/10.1145/3331453.3362049","title":"Open-Category Classification of Hyperspectral Images based on Convolutional Neural Networks","display_name":"Open-Category Classification of Hyperspectral Images based on Convolutional Neural Networks","publication_year":2019,"publication_date":"2019-10-21","ids":{"openalex":"https://openalex.org/W2981735460","doi":"https://doi.org/10.1145/3331453.3362049","mag":"2981735460"},"language":"en","primary_location":{"id":"doi:10.1145/3331453.3362049","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3331453.3362049","pdf_url":null,"source":{"id":"https://openalex.org/S4306523809","display_name":"Proceedings of the 3rd International Conference on Computer Science and Application Engineering","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Computer Science and Application Engineering","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://ir.opt.ac.cn/handle/181661/31920","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5108223601","display_name":"Tingting Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210144662","display_name":"Xi'an Institute of Optics and Precision Mechanics","ror":"https://ror.org/0444j5556","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210144662"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingting Huang","raw_affiliation_strings":["Xi'an Institute of Optics and Precision Mechanics of CAS, Xi'an, China and University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi'an Institute of Optics and Precision Mechanics of CAS, Xi'an, China and University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210144662","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100375605","display_name":"Shuang Wang","orcid":"https://orcid.org/0000-0003-1822-1613"},"institutions":[{"id":"https://openalex.org/I4210144662","display_name":"Xi'an Institute of Optics and Precision Mechanics","ror":"https://ror.org/0444j5556","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210144662"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuang Wang","raw_affiliation_strings":["Xi'an Institute of Optics and Precision Mechanics of CAS, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi'an Institute of Optics and Precision Mechanics of CAS, Xi'an, China","institution_ids":["https://openalex.org/I4210144662"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100617417","display_name":"Geng Zhang","orcid":"https://orcid.org/0000-0002-7891-8108"},"institutions":[{"id":"https://openalex.org/I4210144662","display_name":"Xi'an Institute of Optics and Precision Mechanics","ror":"https://ror.org/0444j5556","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210144662"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Geng Zhang","raw_affiliation_strings":["Xi'an Institute of Optics and Precision Mechanics of CAS, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi'an Institute of Optics and Precision Mechanics of CAS, Xi'an, China","institution_ids":["https://openalex.org/I4210144662"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107251938","display_name":"Xueji Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210144662","display_name":"Xi'an Institute of Optics and Precision Mechanics","ror":"https://ror.org/0444j5556","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210144662"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueji Wang","raw_affiliation_strings":["Xi'an Institute of Optics and Precision Mechanics of CAS, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi'an Institute of Optics and Precision Mechanics of CAS, Xi'an, China","institution_ids":["https://openalex.org/I4210144662"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100339604","display_name":"Song Liu","orcid":"https://orcid.org/0000-0003-0519-226X"},"institutions":[{"id":"https://openalex.org/I4210144662","display_name":"Xi'an Institute of Optics and Precision Mechanics","ror":"https://ror.org/0444j5556","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210144662"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Song Liu","raw_affiliation_strings":["Xi'an Institute of Optics and Precision Mechanics of CAS, Xi'an, China and University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi'an Institute of Optics and Precision Mechanics of CAS, Xi'an, China and University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210144662","https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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":0.9940999746322632,"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":0.9632999897003174,"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":0.8119611740112305},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7885538935661316},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.712334394454956},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6927114129066467},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.674608588218689},{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.5889752507209778},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5479438900947571},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5395412445068359},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4238664507865906},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.40655016899108887},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21666425466537476},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12769034504890442}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8119611740112305},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7885538935661316},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.712334394454956},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6927114129066467},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.674608588218689},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.5889752507209778},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5479438900947571},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5395412445068359},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4238664507865906},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.40655016899108887},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21666425466537476},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12769034504890442}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3331453.3362049","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3331453.3362049","pdf_url":null,"source":{"id":"https://openalex.org/S4306523809","display_name":"Proceedings of the 3rd International Conference on Computer Science and Application Engineering","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Computer Science and Application Engineering","raw_type":"proceedings-article"},{"id":"pmh:oai:ir.opt.ac.cn:181661/31920","is_oa":true,"landing_page_url":"http://ir.opt.ac.cn/handle/181661/31920","pdf_url":null,"source":{"id":"https://openalex.org/S4377196962","display_name":"Institutional Repository of Xi'an Institute of Optics and Fine Mechanics, Chinese Academy of Sciences (Xian Institute of Optics and Precision Mechanics)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210144662","host_organization_name":"Xi'an Institute of Optics and Precision Mechanics","host_organization_lineage":["https://openalex.org/I4210144662"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"\u4f1a\u8bae\u8bba\u6587"}],"best_oa_location":{"id":"pmh:oai:ir.opt.ac.cn:181661/31920","is_oa":true,"landing_page_url":"http://ir.opt.ac.cn/handle/181661/31920","pdf_url":null,"source":{"id":"https://openalex.org/S4377196962","display_name":"Institutional Repository of Xi'an Institute of Optics and Fine Mechanics, Chinese Academy of Sciences (Xian Institute of Optics and Precision Mechanics)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210144662","host_organization_name":"Xi'an Institute of Optics and Precision Mechanics","host_organization_lineage":["https://openalex.org/I4210144662"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"\u4f1a\u8bae\u8bba\u6587"},"sustainable_development_goals":[{"display_name":"Zero hunger","score":0.75,"id":"https://metadata.un.org/sdg/2"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1521436688","https://openalex.org/W2090107050","https://openalex.org/W2548791488","https://openalex.org/W2771169143","https://openalex.org/W2962914604"],"related_works":["https://openalex.org/W2118717649","https://openalex.org/W2413243053","https://openalex.org/W2952813363","https://openalex.org/W4360783045","https://openalex.org/W2963346891","https://openalex.org/W3176438653","https://openalex.org/W2770149305","https://openalex.org/W3167930666","https://openalex.org/W3014952856","https://openalex.org/W3010730661"],"abstract_inverted_index":{"The":[0,215],"application":[1],"of":[2,22,36,100,103,130,147,186,193,213],"the":[3,20,37,45,52,71,95,110,118,144,151,165,183,190,207,211],"hyperspectral":[4,73,226],"image":[5],"(HSI)":[6],"classification":[7,24,57],"has":[8,25,229],"become":[9],"increasingly":[10],"important":[11],"in":[12,51,70,90,109,198],"industry,":[13],"agriculture":[14],"and":[15,87,189,201,209,228],"military.":[16],"In":[17,55,75],"recent":[18],"years,":[19],"accuracy":[21,192],"HIS":[23],"been":[26],"greatly":[27],"improved":[28],"through":[29],"deep":[30,38],"learning":[31,39],"based":[32,82],"methods.":[33],"However,":[34],"most":[35],"models":[40],"tend":[41],"to":[42,62,92,113,164,172,205],"classify":[43,169],"all":[44,66],"samples":[46,64,102,129,171],"into":[47],"categories":[48,67,104],"that":[49,68,105,141,219],"exist":[50,69,108],"training":[53,111],"data.":[54,135],"real-world":[56],"tasks,":[58],"it":[59,204],"is":[60,196],"difficult":[61],"obtain":[63,150],"from":[65,133],"whole":[72],"image.":[74],"this":[76,199],"paper,":[77,200],"we":[78,149,168,202],"design":[79],"a":[80,137,162],"framework":[81],"on":[83,225,231],"convolutional":[84,139],"neural":[85],"networks":[86],"probability":[88],"thresholds(CNPT)":[89],"order":[91],"deal":[93],"with":[94],"open-category":[96],"classification(OCC)":[97],"problem.":[98],"Instead":[99],"classifying":[101],"do":[106],"not":[107],"process":[112],"be":[114],"any":[115],"known":[116],"class,":[117],"proposed":[119,197,221],"method":[120],"mark":[121],"them":[122],"as":[123],"unseen":[124,131,173,187],"category.":[125,174],"We":[126],"first":[127],"get":[128],"class":[132,156,188],"labeled":[134],"With":[136],"lightweight":[138],"network":[140],"fully":[142],"uses":[143],"spectral-spatial":[145],"information":[146],"HSI,":[148],"probabilities":[152],"for":[153,157],"each":[154],"seen":[155,194],"every":[158],"sample.":[159],"By":[160],"adding":[161],"threshold":[163,208],"maximum":[166],"probabilities,":[167],"some":[170],"A":[175],"balanced":[176],"score":[177],"called":[178],"Fue":[179],"which":[180],"considers":[181],"both":[182],"recall":[184],"rate":[185],"overall":[191],"classes":[195],"use":[203],"select":[206],"evaluate":[210],"performance":[212],"CNPT.":[214],"experimental":[216],"results":[217],"show":[218],"our":[220],"algorithm":[222],"performs":[223],"well":[224],"data,":[227],"generalizability":[230],"different":[232],"datasets.":[233]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}