{"id":"https://openalex.org/W2082732714","doi":"https://doi.org/10.1109/jstars.2015.2413931","title":"Parallel Spatial\u2013Spectral Hyperspectral Image Classification With Sparse Representation and Markov Random Fields on GPUs","display_name":"Parallel Spatial\u2013Spectral Hyperspectral Image Classification With Sparse Representation and Markov Random Fields on GPUs","publication_year":2015,"publication_date":"2015-04-01","ids":{"openalex":"https://openalex.org/W2082732714","doi":"https://doi.org/10.1109/jstars.2015.2413931","mag":"2082732714"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2015.2413931","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2015.2413931","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"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/A5031361250","display_name":"Zebin Wu","orcid":"https://orcid.org/0000-0002-7162-0202"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]},{"id":"https://openalex.org/I80606768","display_name":"Universidad de Extremadura","ror":"https://ror.org/0174shg90","country_code":"ES","type":"education","lineage":["https://openalex.org/I80606768"]}],"countries":["CN","ES"],"is_corresponding":false,"raw_author_name":"Zebin Wu","raw_affiliation_strings":["Hyperspectral Computing Laboratory, Department of Technology of Computers and Communications, Escuela Polit\u00e9cnica, University of Extremadura, C\u00e1ceres, Spain","School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-7162-0202","affiliations":[{"raw_affiliation_string":"Hyperspectral Computing Laboratory, Department of Technology of Computers and Communications, Escuela Polit\u00e9cnica, University of Extremadura, C\u00e1ceres, Spain","institution_ids":["https://openalex.org/I80606768"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090796235","display_name":"Qicong Wang","orcid":"https://orcid.org/0000-0001-7324-0433"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qicong Wang","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054292278","display_name":"Antonio Plaza","orcid":"https://orcid.org/0000-0002-9613-1659"},"institutions":[{"id":"https://openalex.org/I80606768","display_name":"Universidad de Extremadura","ror":"https://ror.org/0174shg90","country_code":"ES","type":"education","lineage":["https://openalex.org/I80606768"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Antonio Plaza","raw_affiliation_strings":["Hyperspectral Computing Laboratory, Department of Technology of Computers and Communications, Escuela Polit\u00e9cnica, University of Extremadura, C\u00e1ceres, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hyperspectral Computing Laboratory, Department of Technology of Computers and Communications, Escuela Polit\u00e9cnica, University of Extremadura, C\u00e1ceres, Spain","institution_ids":["https://openalex.org/I80606768"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100362041","display_name":"Jun Li","orcid":"https://orcid.org/0000-0003-1613-9448"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Li","raw_affiliation_strings":["Sun Yat-sen University, Guangdong Provincial Key Laboratory of Urbanization and Center of Integrated Geographic Information Analysis, School of Geography and Planning, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University, Guangdong Provincial Key Laboratory of Urbanization and Center of Integrated Geographic Information Analysis, School of Geography and Planning, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059068224","display_name":"Le Sun","orcid":"https://orcid.org/0000-0001-6465-8678"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Le Sun","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070343691","display_name":"Zhihui Wei","orcid":"https://orcid.org/0000-0002-4841-6051"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihui Wei","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":null,"fwci":6.9309,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.96729152,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"8","issue":"6","first_page":"2926","last_page":"2938"},"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":0.9927999973297119,"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":0.9731000065803528,"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/computer-science","display_name":"Computer science","score":0.7865750789642334},{"id":"https://openalex.org/keywords/cuda","display_name":"CUDA","score":0.6253015995025635},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.6185731887817383},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.5834956169128418},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.5762604475021362},{"id":"https://openalex.org/keywords/parallel-algorithm","display_name":"Parallel algorithm","score":0.48199835419654846},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.4287721812725067},{"id":"https://openalex.org/keywords/general-purpose-computing-on-graphics-processing-units","display_name":"General-purpose computing on graphics processing units","score":0.42842257022857666},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.4181174337863922},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35833311080932617},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.339143306016922},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.33773061633110046},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33755382895469666},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.3242573142051697},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.18477123975753784},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.16259196400642395},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14054349064826965},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09919127821922302}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7865750789642334},{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.6253015995025635},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.6185731887817383},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5834956169128418},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.5762604475021362},{"id":"https://openalex.org/C120373497","wikidata":"https://www.wikidata.org/wiki/Q1087987","display_name":"Parallel algorithm","level":2,"score":0.48199835419654846},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.4287721812725067},{"id":"https://openalex.org/C50630238","wikidata":"https://www.wikidata.org/wiki/Q971505","display_name":"General-purpose computing on graphics processing units","level":3,"score":0.42842257022857666},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.4181174337863922},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35833311080932617},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.339143306016922},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.33773061633110046},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33755382895469666},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.3242573142051697},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.18477123975753784},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.16259196400642395},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14054349064826965},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09919127821922302},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jstars.2015.2413931","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2015.2413931","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G235825336","display_name":null,"funder_award_id":"20113219120024","funder_id":"https://openalex.org/F4320336024","funder_display_name":"Specialized Research Fund for the Doctoral Program of Higher Education of China"},{"id":"https://openalex.org/G5049696438","display_name":null,"funder_award_id":"61471199","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5393695307","display_name":null,"funder_award_id":"11431015","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G653588136","display_name":null,"funder_award_id":"61101194","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"},{"id":"https://openalex.org/F4320336024","display_name":"Specialized Research Fund for the Doctoral Program of Higher Education of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W968889208","https://openalex.org/W1786047609","https://openalex.org/W1965554802","https://openalex.org/W1971891445","https://openalex.org/W1975685499","https://openalex.org/W1979158807","https://openalex.org/W1979730959","https://openalex.org/W1994348192","https://openalex.org/W1997565609","https://openalex.org/W1998030734","https://openalex.org/W2001298023","https://openalex.org/W2002546995","https://openalex.org/W2002849025","https://openalex.org/W2006690683","https://openalex.org/W2016860790","https://openalex.org/W2020999234","https://openalex.org/W2043665634","https://openalex.org/W2048419331","https://openalex.org/W2048649979","https://openalex.org/W2077239519","https://openalex.org/W2078495963","https://openalex.org/W2084252873","https://openalex.org/W2088790954","https://openalex.org/W2095687521","https://openalex.org/W2097915756","https://openalex.org/W2113137767","https://openalex.org/W2113464037","https://openalex.org/W2113513024","https://openalex.org/W2125357381","https://openalex.org/W2129170915","https://openalex.org/W2129652905","https://openalex.org/W2131697388","https://openalex.org/W2131864940","https://openalex.org/W2136251662","https://openalex.org/W2143516773","https://openalex.org/W2149471024","https://openalex.org/W2150579376","https://openalex.org/W2153409933","https://openalex.org/W2154970996","https://openalex.org/W2158400785","https://openalex.org/W2166923144","https://openalex.org/W2167256583","https://openalex.org/W2167583754","https://openalex.org/W2951801774","https://openalex.org/W4244806533","https://openalex.org/W4320339642","https://openalex.org/W6672700378","https://openalex.org/W6764002355","https://openalex.org/W6876266765"],"related_works":["https://openalex.org/W1963859303","https://openalex.org/W2364044215","https://openalex.org/W2389600408","https://openalex.org/W240129890","https://openalex.org/W3048701459","https://openalex.org/W2149078538","https://openalex.org/W2370314112","https://openalex.org/W1912958759","https://openalex.org/W2792081825","https://openalex.org/W2893308117"],"abstract_inverted_index":{"Spatial-spectral":[0],"classification":[1,224],"is":[2,68,148],"a":[3,20,24,43,97,193],"very":[4,69,211],"important":[5],"topic":[6],"in":[7,60,197,221],"the":[8,31,39,51,61,84,88,119,128,136,145,153,165,174,183,198,201,215],"field":[9],"of":[10,23,50,57,87,122,127,144,179,188,200,223],"remotely":[11],"sensed":[12],"hyperspectral":[13,208],"imaging.":[14],"In":[15,80,163],"this":[16],"work,":[17],"we":[18,90],"develop":[19],"parallel":[21,98,107,125,146,177,202,218],"implementation":[22,99,147],"novel":[25],"supervised":[26],"spectral-spatial":[27],"classifier,":[28],"which":[29,71],"models":[30],"likelihood":[32],"probability":[33],"via":[34],"l1-":[35],"l2sparse":[36],"representation":[37,112],"and":[38,55,95,113,150,155,185,226],"spatial":[40,52,62],"prior":[41],"as":[42],"Gibbs":[44],"distribution.":[45],"This":[46],"classifier":[47,109],"takes":[48],"advantage":[49],"piecewise":[53],"smoothness":[54],"correlation":[56],"neighboring":[58],"pixels":[59],"domain,":[63],"but":[64],"its":[65,73,92],"computational":[66,85,227],"complexity":[67],"high":[70,212],"makes":[72],"application":[74],"to":[75,82,171,192],"time-critical":[76],"scenarios":[77],"quite":[78],"limited.":[79],"order":[81],"improve":[83],"efficiency":[86],"algorithm,":[89],"optimized":[91],"serial":[93,154],"version":[94],"developed":[96],"for":[100,214],"commodity":[101],"graphics":[102],"processing":[103,160],"units":[104,161],"(GPUs).":[105],"Our":[106],"spatial-spectral":[108],"with":[110,152,182],"sparse":[111],"Markov":[114],"random":[115],"fields":[116],"(SSC-SRMRF-P)":[117],"exploits":[118],"low-level":[120],"architecture":[121,140],"GPUs.":[123],"The":[124,142],"optimization":[126],"proposed":[129,166,216],"method":[130,167],"has":[131,168],"been":[132,169],"carried":[133],"out":[134],"using":[135,206],"compute":[137],"unified":[138],"device":[139],"(CUDA).":[141],"performance":[143,213],"evaluated":[149],"compared":[151],"multicore":[156],"implementations":[157],"on":[158],"central":[159],"(CPUs).":[162],"fact,":[164],"designed":[170],"adequately":[172],"exploit":[173],"massive":[175],"data":[176],"capacities":[178,187],"GPUs":[180],"together":[181],"control":[184],"logic":[186],"CPUs,":[189],"thus":[190],"resorting":[191],"heterogeneous":[194],"CPU-GPU":[195,217],"framework":[196],"design":[199],"algorithm.":[203],"Experimental":[204],"results":[205],"real":[207],"images":[209],"demonstrate":[210],"method,":[219],"both":[220],"terms":[222],"accuracy":[225],"performance.":[228]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":2}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
