{"id":"https://openalex.org/W2245315618","doi":"https://doi.org/10.1109/geoinformatics.2015.7378645","title":"Firefly algorithm optimized extreme learning machine for hyperspectral image classification","display_name":"Firefly algorithm optimized extreme learning machine for hyperspectral image classification","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W2245315618","doi":"https://doi.org/10.1109/geoinformatics.2015.7378645","mag":"2245315618"},"language":"en","primary_location":{"id":"doi:10.1109/geoinformatics.2015.7378645","is_oa":false,"landing_page_url":"https://doi.org/10.1109/geoinformatics.2015.7378645","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 23rd International Conference on Geoinformatics","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/A5019014062","display_name":"Hongjun Su","orcid":"https://orcid.org/0000-0002-8991-8568"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongjun Su","raw_affiliation_strings":["Jiangsu Key Laboratory of Resources and Environmental Information Engineering, Xuzhou, China","School of Earth Sciences and Engineering, Hohai University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu Key Laboratory of Resources and Environmental Information Engineering, Xuzhou, China","institution_ids":[]},{"raw_affiliation_string":"School of Earth Sciences and Engineering, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102653478","display_name":"Yue Cai","orcid":null},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Cai","raw_affiliation_strings":["School of Earth Sciences and Engineering, Hohai University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Earth Sciences and Engineering, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5019014062"],"corresponding_institution_ids":["https://openalex.org/I163340411"],"apc_list":null,"apc_paid":null,"fwci":0.8932,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.83592203,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9998000264167786,"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/T12676","display_name":"Machine Learning and ELM","score":0.9998000264167786,"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":0.9904999732971191,"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/T10057","display_name":"Face and Expression Recognition","score":0.9787999987602234,"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/firefly-algorithm","display_name":"Firefly algorithm","score":0.8976590633392334},{"id":"https://openalex.org/keywords/extreme-learning-machine","display_name":"Extreme learning machine","score":0.8581286668777466},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7167395353317261},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6358155608177185},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.613926887512207},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5727262496948242},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.545354962348938},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4832945168018341},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.42748868465423584},{"id":"https://openalex.org/keywords/firefly-protocol","display_name":"Firefly protocol","score":0.42378613352775574},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.41416841745376587},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3978310525417328},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34014394879341125},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28034040331840515},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.09208831191062927}],"concepts":[{"id":"https://openalex.org/C154982244","wikidata":"https://www.wikidata.org/wiki/Q5451844","display_name":"Firefly algorithm","level":3,"score":0.8976590633392334},{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.8581286668777466},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7167395353317261},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6358155608177185},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.613926887512207},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5727262496948242},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.545354962348938},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4832945168018341},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.42748868465423584},{"id":"https://openalex.org/C107477482","wikidata":"https://www.wikidata.org/wiki/Q22570039","display_name":"Firefly protocol","level":2,"score":0.42378613352775574},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.41416841745376587},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3978310525417328},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34014394879341125},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28034040331840515},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.09208831191062927},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C90856448","wikidata":"https://www.wikidata.org/wiki/Q431","display_name":"Zoology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/geoinformatics.2015.7378645","is_oa":false,"landing_page_url":"https://doi.org/10.1109/geoinformatics.2015.7378645","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 23rd International Conference on Geoinformatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1523741643","https://openalex.org/W1972524915","https://openalex.org/W1991359419","https://openalex.org/W2048308819","https://openalex.org/W2060173047","https://openalex.org/W2104269704","https://openalex.org/W2105386417","https://openalex.org/W2111072639","https://openalex.org/W2136251662","https://openalex.org/W2157595416","https://openalex.org/W2250104552","https://openalex.org/W4248253651"],"related_works":["https://openalex.org/W2222304693","https://openalex.org/W4200439108","https://openalex.org/W2940563633","https://openalex.org/W2757862489","https://openalex.org/W2411884393","https://openalex.org/W2490269892","https://openalex.org/W2138097482","https://openalex.org/W2607337308","https://openalex.org/W2984874436","https://openalex.org/W2890875110"],"abstract_inverted_index":{"A":[0],"firefly":[1,30],"algorithm":[2,31,43,67],"(FA)":[3],"based":[4],"parameter":[5],"optimization":[6,42,64],"method":[7],"for":[8,13,53],"extreme":[9,50],"learning":[10,51],"machine":[11],"(ELM)":[12],"hyperspectral":[14,54],"image":[15,55],"classification":[16],"is":[17],"proposed.":[18],"The":[19,35],"parameters":[20],"of":[21,49],"regularization":[22],"coefficient":[23],"and":[24,57],"Gaussian":[25],"kernel":[26],"are":[27],"optimized":[28],"by":[29],"in":[32],"this":[33],"method.":[34,69],"experimental":[36],"results":[37],"show":[38],"that":[39],"the":[40,46,60],"FA-based":[41],"can":[44],"provide":[45],"better":[47],"performance":[48],"machines":[52],"classification,":[56],"it":[58],"outperforms":[59],"popular":[61],"particle":[62],"swarm":[63],"(PSO),":[65],"genetic":[66],"(GA)":[68]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}