{"id":"https://openalex.org/W2540881241","doi":"https://doi.org/10.1109/whispers.2012.6874319","title":"GPU implementation of Ant Colony Optimization algorithm for endmember extraction from hyperspectral image","display_name":"GPU implementation of Ant Colony Optimization algorithm for endmember extraction from hyperspectral image","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2540881241","doi":"https://doi.org/10.1109/whispers.2012.6874319","mag":"2540881241"},"language":"en","primary_location":{"id":"doi:10.1109/whispers.2012.6874319","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2012.6874319","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 4th Workshop on Hyperspectral Image and Signal Processing (WHISPERS)","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/A5101953283","display_name":"Jianwei Gao","orcid":"https://orcid.org/0000-0003-4203-0374"},"institutions":[{"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":"Jianwei Gao","raw_affiliation_strings":["Graduate University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066378186","display_name":"Lianru Gao","orcid":"https://orcid.org/0000-0003-3888-8124"},"institutions":[{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lianru Gao","raw_affiliation_strings":["Laboratory of Digital Earth Science, Center for Earth Observation and Digital Earth, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Digital Earth Science, Center for Earth Observation and Digital Earth, Beijing, China","institution_ids":["https://openalex.org/I4210128053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111863979","display_name":"Xu Sun","orcid":"https://orcid.org/0000-0001-5389-7251"},"institutions":[{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Sun","raw_affiliation_strings":["Laboratory of Digital Earth Science, Center for Earth Observation and Digital Earth, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Digital Earth Science, Center for Earth Observation and Digital Earth, Beijing, China","institution_ids":["https://openalex.org/I4210128053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112014078","display_name":"Yuanfeng Wu","orcid":"https://orcid.org/0000-0001-8427-9851"},"institutions":[{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanfeng Wu","raw_affiliation_strings":["Laboratory of Digital Earth Science, Center for Earth Observation and Digital Earth, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Digital Earth Science, Center for Earth Observation and Digital Earth, Beijing, China","institution_ids":["https://openalex.org/I4210128053"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100389708","display_name":"Bing Zhang","orcid":"https://orcid.org/0000-0003-0319-7753"},"institutions":[{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Zhang","raw_affiliation_strings":["Laboratory of Digital Earth Science, Center for Earth Observation and Digital Earth, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Digital Earth Science, Center for Earth Observation and Digital Earth, Beijing, China","institution_ids":["https://openalex.org/I4210128053"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5518,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.66637401,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"8048","issue":null,"first_page":"1","last_page":"4"},"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":0.9937999844551086,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9347000122070312,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/endmember","display_name":"Endmember","score":0.9756149053573608},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.939469575881958},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7558795213699341},{"id":"https://openalex.org/keywords/cuda","display_name":"CUDA","score":0.7251731157302856},{"id":"https://openalex.org/keywords/graphics-processing-unit","display_name":"Graphics processing unit","score":0.7137974500656128},{"id":"https://openalex.org/keywords/ant-colony-optimization-algorithms","display_name":"Ant colony optimization algorithms","score":0.6122870445251465},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4760986566543579},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.466835618019104},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4166281223297119},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.17225831747055054}],"concepts":[{"id":"https://openalex.org/C58237817","wikidata":"https://www.wikidata.org/wiki/Q5376204","display_name":"Endmember","level":3,"score":0.9756149053573608},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.939469575881958},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7558795213699341},{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.7251731157302856},{"id":"https://openalex.org/C2779851693","wikidata":"https://www.wikidata.org/wiki/Q183484","display_name":"Graphics processing unit","level":2,"score":0.7137974500656128},{"id":"https://openalex.org/C40128228","wikidata":"https://www.wikidata.org/wiki/Q460851","display_name":"Ant colony optimization algorithms","level":2,"score":0.6122870445251465},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4760986566543579},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.466835618019104},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4166281223297119},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.17225831747055054}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/whispers.2012.6874319","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2012.6874319","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 4th Workshop on Hyperspectral Image and Signal Processing (WHISPERS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1582058549","https://openalex.org/W1997256845","https://openalex.org/W2058144644","https://openalex.org/W2095687521","https://openalex.org/W2107222994","https://openalex.org/W2107941094","https://openalex.org/W2116699851","https://openalex.org/W2133115251","https://openalex.org/W2136392120","https://openalex.org/W6634825034","https://openalex.org/W6680038803"],"related_works":["https://openalex.org/W2037328426","https://openalex.org/W1990914742","https://openalex.org/W2891033441","https://openalex.org/W2006559622","https://openalex.org/W2315521504","https://openalex.org/W3106536224","https://openalex.org/W2890371384","https://openalex.org/W2051769241","https://openalex.org/W2563324120","https://openalex.org/W2040756827"],"abstract_inverted_index":{"Endmember":[0,58],"extraction":[1,26],"is":[2,67,111],"an":[3],"important":[4],"procedure":[5],"in":[6,41,89,143],"spectral":[7],"unmixing":[8],"of":[9,102,135,146],"hyperspectral":[10,28,70,90,148],"images.":[11,29],"A":[12],"swarm":[13],"intelligence":[14],"algorithm":[15,37,60,110],"named":[16],"Ant":[17],"Colony":[18],"Optimization":[19],"(ACO)":[20],"was":[21],"recently":[22],"introduced":[23],"for":[24,69],"endmember":[25],"from":[27],"Through":[30],"theoretic":[31],"and":[32,44,120],"experimental":[33],"analysis,":[34],"this":[35,94],"new":[36,99],"can":[38,45],"be":[39],"utilized":[40],"various":[42],"situations":[43],"get":[46],"the":[47,52,56,64,80,103,107,114,123,132,144],"optimum":[48],"endmembers.":[49],"However,":[50],"considering":[51],"high":[53],"computational":[54,133],"amount,":[55],"ACO":[57],"Extraction":[59],"(ACOEE)":[61],"based":[62,78,105,137],"on":[63,79,106,122,138],"random":[65],"search":[66],"time-consuming":[68],"image":[71,91],"analysis.":[72],"In":[73,93],"recent":[74],"years,":[75],"high-performance":[76],"computing":[77],"Graphics":[81],"Processing":[82],"Unit":[83],"(GPU)":[84],"has":[85,140],"been":[86],"increasingly":[87],"applied":[88],"processing.":[92],"paper,":[95],"we":[96],"propose":[97],"a":[98],"parallel":[100],"implementation":[101],"ACOEE":[104,136],"GPU.":[108],"The":[109,128],"implemented":[112],"using":[113],"Compute":[115],"Device":[116],"Unified":[117],"Architecture":[118],"(CUDA),":[119],"tested":[121],"NVidia":[124],"Quadro":[125],"5000":[126],"architecture.":[127],"results":[129],"show":[130],"that":[131],"performance":[134],"GPU":[139],"significantly":[141],"improved":[142],"analysis":[145],"real":[147],"data.":[149]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
