{"id":"https://openalex.org/W2079679374","doi":"https://doi.org/10.1109/igarss.2013.6723351","title":"A Quantum-Modeled Artificial Bee Colony clustering algorithm for remotely sensed multi-band image segmentation","display_name":"A Quantum-Modeled Artificial Bee Colony clustering algorithm for remotely sensed multi-band image segmentation","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W2079679374","doi":"https://doi.org/10.1109/igarss.2013.6723351","mag":"2079679374"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2013.6723351","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2013.6723351","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS","raw_type":"proceedings-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/A5063590605","display_name":"Chih\u2010Cheng Hung","orcid":"https://orcid.org/0000-0003-0477-5957"},"institutions":[{"id":"https://openalex.org/I4210117382","display_name":"Anyang Normal University","ror":"https://ror.org/02g9nss57","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210117382"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chih-Cheng Hung","raw_affiliation_strings":["Anyang Normal University, Anyang, China","Anyang Normal Univ., Anyang, China"],"affiliations":[{"raw_affiliation_string":"Anyang Normal University, Anyang, China","institution_ids":["https://openalex.org/I4210117382"]},{"raw_affiliation_string":"Anyang Normal Univ., Anyang, China","institution_ids":["https://openalex.org/I4210117382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015774302","display_name":"Ellis Casper","orcid":null},"institutions":[{"id":"https://openalex.org/I206426949","display_name":"Southern Polytechnic State University","ror":"https://ror.org/00cckeg37","country_code":"US","type":"education","lineage":["https://openalex.org/I206426949"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ellis Casper","raw_affiliation_strings":["Southern Polytechnic State University, Marietta, USA","Southern Polytech. State Univ., Marietta, GA, USA"],"affiliations":[{"raw_affiliation_string":"Southern Polytechnic State University, Marietta, USA","institution_ids":["https://openalex.org/I206426949"]},{"raw_affiliation_string":"Southern Polytech. State Univ., Marietta, GA, USA","institution_ids":["https://openalex.org/I206426949"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054302891","display_name":"Bor\u2010Chen Kuo","orcid":"https://orcid.org/0000-0003-1741-2450"},"institutions":[{"id":"https://openalex.org/I34574549","display_name":"National Taichung University of Education","ror":"https://ror.org/006tnfe02","country_code":"TW","type":"education","lineage":["https://openalex.org/I34574549"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Bor-Chen Kuo","raw_affiliation_strings":["Graduate Institute of Educational Measurement and Statistics, National Taichung University, Taiwan, R. O. C","Grad. Inst. of Educ. Meas. & Stat., Nat. Taichung Univ., Taichung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Graduate Institute of Educational Measurement and Statistics, National Taichung University, Taiwan, R. O. C","institution_ids":[]},{"raw_affiliation_string":"Grad. Inst. of Educ. Meas. & Stat., Nat. Taichung Univ., Taichung, Taiwan","institution_ids":["https://openalex.org/I34574549"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017453183","display_name":"Wenping Liu","orcid":"https://orcid.org/0000-0003-3933-9792"},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenping Liu","raw_affiliation_strings":["Beijing Forestry University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Forestry University, Beijing, China","institution_ids":["https://openalex.org/I31683504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007367803","display_name":"Edward Jung","orcid":"https://orcid.org/0000-0002-3237-3894"},"institutions":[{"id":"https://openalex.org/I206426949","display_name":"Southern Polytechnic State University","ror":"https://ror.org/00cckeg37","country_code":"US","type":"education","lineage":["https://openalex.org/I206426949"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Edward Jung","raw_affiliation_strings":["Southern Polytechnic State University, Marietta, USA","Southern Polytech. State Univ., Marietta, GA, USA"],"affiliations":[{"raw_affiliation_string":"Southern Polytechnic State University, Marietta, USA","institution_ids":["https://openalex.org/I206426949"]},{"raw_affiliation_string":"Southern Polytech. State Univ., Marietta, GA, USA","institution_ids":["https://openalex.org/I206426949"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5115595966","display_name":"Ming Yang","orcid":"https://orcid.org/0000-0001-8013-5148"},"institutions":[{"id":"https://openalex.org/I206426949","display_name":"Southern Polytechnic State University","ror":"https://ror.org/00cckeg37","country_code":"US","type":"education","lineage":["https://openalex.org/I206426949"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ming Yang","raw_affiliation_strings":["Southern Polytechnic State University, Marietta, USA","Southern Polytech. State Univ., Marietta, GA, USA"],"affiliations":[{"raw_affiliation_string":"Southern Polytechnic State University, Marietta, USA","institution_ids":["https://openalex.org/I206426949"]},{"raw_affiliation_string":"Southern Polytech. State Univ., Marietta, GA, USA","institution_ids":["https://openalex.org/I206426949"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5063590605"],"corresponding_institution_ids":["https://openalex.org/I4210117382"],"apc_list":null,"apc_paid":null,"fwci":1.9236,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.88434562,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"2","issue":null,"first_page":"2585","last_page":"2588"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9991000294685364,"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"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9670000076293945,"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/T12029","display_name":"DNA and Biological Computing","score":0.9108999967575073,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-bee-colony-algorithm","display_name":"Artificial bee colony algorithm","score":0.8124890327453613},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7301066517829895},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6630833148956299},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5927197933197021},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5713698267936707},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5336862802505493},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5086846947669983},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4976551830768585},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.42421677708625793},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38350558280944824},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3432757258415222}],"concepts":[{"id":"https://openalex.org/C97133563","wikidata":"https://www.wikidata.org/wiki/Q4801057","display_name":"Artificial bee colony algorithm","level":2,"score":0.8124890327453613},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7301066517829895},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6630833148956299},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5927197933197021},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5713698267936707},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5336862802505493},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5086846947669983},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4976551830768585},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.42421677708625793},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38350558280944824},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3432757258415222},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2013.6723351","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2013.6723351","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","score":0.5299999713897705,"display_name":"Zero hunger"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1504586432","https://openalex.org/W1541400212","https://openalex.org/W1561414385","https://openalex.org/W1640449100","https://openalex.org/W2007668393","https://openalex.org/W2032936936","https://openalex.org/W2051224630","https://openalex.org/W2061683845","https://openalex.org/W2073752716","https://openalex.org/W2092091239","https://openalex.org/W2287814884","https://openalex.org/W2800394774","https://openalex.org/W4250800164","https://openalex.org/W6636738402","https://openalex.org/W6663186900"],"related_works":["https://openalex.org/W3083944492","https://openalex.org/W2944955692","https://openalex.org/W4285109918","https://openalex.org/W1967976413","https://openalex.org/W1797172418","https://openalex.org/W2070468430","https://openalex.org/W4285466423","https://openalex.org/W3216260098","https://openalex.org/W2382755429","https://openalex.org/W1522196789"],"abstract_inverted_index":{"A":[0],"Quantum-Modeled":[1],"Artificial":[2,74],"Bee":[3,75],"Colony":[4,76],"clustering":[5],"algorithm":[6,41,93],"for":[7,35],"remotely":[8,22],"sensed":[9,23],"multi-band":[10,24],"image":[11],"segmentation":[12],"is":[13,31],"explored":[14],"and":[15,33,68,78,85],"evaluated.":[16],"Data":[17],"sets":[18],"of":[19,57],"interest":[20],"include":[21],"RGB":[25],"imagery,":[26],"which":[27,62,81],"subsequent":[28],"to":[29,47,72,96],"classification":[30],"analyzed":[32],"assessed":[34],"accuracy.":[36],"Results":[37],"demonstrate":[38],"that":[39],"the":[40,58,73,92],"exhibits":[42],"improved":[43],"accuracy,":[44],"when":[45],"compared":[46],"its":[48],"classical":[49],"counterpart.":[50],"Moreover,":[51],"solutions":[52],"are":[53],"enhanced":[54],"via":[55],"introduction":[56],"quantum":[59,79],"state":[60],"machine,":[61],"provides":[63],"random":[64],"initial":[65],"food":[66],"sources":[67],"variables":[69],"as":[70],"input":[71],"algorithm,":[77],"operators,":[80],"bring":[82],"about":[83],"convergence":[84],"maximize":[86],"local":[87],"search":[88],"space":[89],"exploration.":[90],"Typically,":[91],"has":[94],"shown":[95],"produce":[97],"better":[98],"solutions.":[99]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
