{"id":"https://openalex.org/W2168649879","doi":"https://doi.org/10.1109/igarss.2008.4779146","title":"Ant Colony Optimization Algorithm for Feature Selection and Classification of Multispectral Remote Sensing Image","display_name":"Ant Colony Optimization Algorithm for Feature Selection and Classification of Multispectral Remote Sensing Image","publication_year":2008,"publication_date":"2008-07-01","ids":{"openalex":"https://openalex.org/W2168649879","doi":"https://doi.org/10.1109/igarss.2008.4779146","mag":"2168649879"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2008.4779146","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2008.4779146","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium","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/A5005473056","display_name":"Lintao Wen","orcid":null},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lintao Wen","raw_affiliation_strings":["Image Processing and Pattern Recognition Laboratory, Beijing Normal University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image Processing and Pattern Recognition Laboratory, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081412949","display_name":"Qian Yin","orcid":"https://orcid.org/0000-0002-0354-5490"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Yin","raw_affiliation_strings":["Image Processing and Pattern Recognition Laboratory, Beijing Normal University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image Processing and Pattern Recognition Laboratory, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020083340","display_name":"Ping Guo","orcid":"https://orcid.org/0000-0002-7122-1084"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]},{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping Guo","raw_affiliation_strings":["Image Processing and Pattern Recognition Laboratory, Beijing Normal University, Beijing, China","School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image Processing and Pattern Recognition Laboratory, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]},{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4773,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.70854871,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"6","issue":null,"first_page":"II","last_page":"923"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9914000034332275,"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"}},"topics":[{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9914000034332275,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9902999997138977,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9704999923706055,"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/multispectral-image","display_name":"Multispectral image","score":0.8878552913665771},{"id":"https://openalex.org/keywords/ant-colony-optimization-algorithms","display_name":"Ant colony optimization algorithms","score":0.7978512048721313},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6682298183441162},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6614615321159363},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6606215238571167},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6560942530632019},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5868200063705444},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.49459215998649597},{"id":"https://openalex.org/keywords/multispectral-pattern-recognition","display_name":"Multispectral pattern recognition","score":0.4664897918701172},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4545114040374756},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.44743719696998596},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43690168857574463},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32282406091690063}],"concepts":[{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.8878552913665771},{"id":"https://openalex.org/C40128228","wikidata":"https://www.wikidata.org/wiki/Q460851","display_name":"Ant colony optimization algorithms","level":2,"score":0.7978512048721313},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6682298183441162},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6614615321159363},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6606215238571167},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6560942530632019},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5868200063705444},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.49459215998649597},{"id":"https://openalex.org/C104541649","wikidata":"https://www.wikidata.org/wiki/Q6935090","display_name":"Multispectral pattern recognition","level":3,"score":0.4664897918701172},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4545114040374756},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.44743719696998596},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43690168857574463},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32282406091690063},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2008.4779146","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2008.4779146","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1573676079","https://openalex.org/W1581230005","https://openalex.org/W1590766300","https://openalex.org/W1981367467","https://openalex.org/W2066642226","https://openalex.org/W2099126756","https://openalex.org/W2103699041","https://openalex.org/W2106646148","https://openalex.org/W2129960075","https://openalex.org/W2132106992","https://openalex.org/W2148381466","https://openalex.org/W2163114261","https://openalex.org/W2163363072","https://openalex.org/W2164626806","https://openalex.org/W2168539119","https://openalex.org/W2468714721","https://openalex.org/W3146003712","https://openalex.org/W4231627457","https://openalex.org/W4253827861","https://openalex.org/W4255443310","https://openalex.org/W4292408555"],"related_works":["https://openalex.org/W2128126485","https://openalex.org/W1995889410","https://openalex.org/W2125776999","https://openalex.org/W4382563209","https://openalex.org/W2124952510","https://openalex.org/W2777937183","https://openalex.org/W2108633818","https://openalex.org/W1752760603","https://openalex.org/W1517037119","https://openalex.org/W2138664739"],"abstract_inverted_index":{"In":[0,29],"classification":[1,15,102],"of":[2,51,78,92],"a":[3,34,47,60,105],"multispectral":[4,85],"remote":[5,86],"sensing":[6],"image,":[7],"it":[8],"is":[9,73],"usually":[10],"difficult":[11],"to":[12,45,58,82],"obtain":[13],"higher":[14],"accuracy":[16],"if":[17],"we":[18,32],"only":[19],"consider":[20],"the":[21,39,64,79,84,90,93],"image's":[22],"spectral":[23,52,94],"feature":[24,27],"or":[25],"texture":[26,54,96],"alone.":[28],"this":[30],"paper,":[31],"present":[33],"new":[35],"approach":[36],"by":[37,99],"applying":[38],"Ant":[40],"Colony":[41],"Optimization":[42],"(ACO)":[43],"algorithm":[44,72],"find":[46],"multi-feature":[48],"vector":[49],"composed":[50],"and":[53,95],"features":[55,80,97],"in":[56,63,75,101],"order":[57],"get":[59],"better":[61,106],"result":[62],"classification.":[65],"The":[66],"experimental":[67],"results":[68],"show":[69],"that":[70],"ACO":[71,100],"helpful":[74],"subset":[76],"searching":[77],"used":[81],"classify":[83],"sense":[87],"image.":[88],"Using":[89],"combination":[91],"obtained":[98],"always":[103],"produces":[104],"accuracy.":[107]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}