{"id":"https://openalex.org/W2124410248","doi":"https://doi.org/10.1109/igarss.2008.4779131","title":"A New Adaptive Fuzzy Clustering Algorithm for Remotely Sensed Images","display_name":"A New Adaptive Fuzzy Clustering Algorithm for Remotely Sensed Images","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W2124410248","doi":"https://doi.org/10.1109/igarss.2008.4779131","mag":"2124410248"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2008.4779131","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2008.4779131","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/A5063590605","display_name":"Chih\u2010Cheng Hung","orcid":"https://orcid.org/0000-0003-0477-5957"},"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":true,"raw_author_name":"Chih-Cheng Hung","raw_affiliation_strings":["School of Computing and Software Engineering, Southern Polytechnic State University, Marietta, GA, USA","Sch. of Comput. & Software Eng., Southern Polytech. State Univ., Marietta, GA"],"affiliations":[{"raw_affiliation_string":"School of Computing and Software Engineering, Southern Polytechnic State University, Marietta, GA, USA","institution_ids":["https://openalex.org/I206426949"]},{"raw_affiliation_string":"Sch. of Comput. & Software Eng., Southern Polytech. State Univ., Marietta, GA","institution_ids":["https://openalex.org/I206426949"]}]},{"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":["Department of Digital Media, School of Information, Beijing Forestry University, Beijing, China","Dept. of Digital Media, Beijing Forestry Univ., Beijing"],"affiliations":[{"raw_affiliation_string":"Department of Digital Media, School of Information, Beijing Forestry University, Beijing, China","institution_ids":["https://openalex.org/I31683504"]},{"raw_affiliation_string":"Dept. of Digital Media, Beijing Forestry Univ., Beijing","institution_ids":["https://openalex.org/I31683504"]}]},{"author_position":"last","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":["Mathematics Education Department, National Taichung University, Taichung, Taiwan","Math. Educ. Dept., Nat. Taichung Univ., Taichung"],"affiliations":[{"raw_affiliation_string":"Mathematics Education Department, National Taichung University, Taichung, Taiwan","institution_ids":["https://openalex.org/I34574549"]},{"raw_affiliation_string":"Math. Educ. Dept., Nat. Taichung Univ., Taichung","institution_ids":["https://openalex.org/I34574549"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5063590605"],"corresponding_institution_ids":["https://openalex.org/I206426949"],"apc_list":null,"apc_paid":null,"fwci":1.1441,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.84620685,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"39","issue":null,"first_page":"II","last_page":"863"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.991100013256073,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.991100013256073,"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":0.9869999885559082,"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/T11106","display_name":"Data Management and Algorithms","score":0.9832000136375427,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/cluster-analysis","display_name":"Cluster analysis","score":0.740009069442749},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.6432045102119446},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6040645837783813},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5692227482795715},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.5521225333213806},{"id":"https://openalex.org/keywords/multispectral-pattern-recognition","display_name":"Multispectral pattern recognition","score":0.5424718260765076},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5011470317840576},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4940946400165558},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4872528612613678},{"id":"https://openalex.org/keywords/flame-clustering","display_name":"FLAME clustering","score":0.4533488154411316},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.42594587802886963},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.394020140171051},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.3735780715942383},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.34895336627960205},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.22650232911109924}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.740009069442749},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.6432045102119446},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6040645837783813},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5692227482795715},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.5521225333213806},{"id":"https://openalex.org/C104541649","wikidata":"https://www.wikidata.org/wiki/Q6935090","display_name":"Multispectral pattern recognition","level":3,"score":0.5424718260765076},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5011470317840576},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4940946400165558},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4872528612613678},{"id":"https://openalex.org/C44859942","wikidata":"https://www.wikidata.org/wiki/Q5426511","display_name":"FLAME clustering","level":5,"score":0.4533488154411316},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.42594587802886963},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.394020140171051},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.3735780715942383},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.34895336627960205},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.22650232911109924},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2008.4779131","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2008.4779131","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":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1623080549","https://openalex.org/W1992419399","https://openalex.org/W2004184119","https://openalex.org/W2019950953","https://openalex.org/W2089420941","https://openalex.org/W2099184708","https://openalex.org/W2113076747","https://openalex.org/W2120688485","https://openalex.org/W2152867250","https://openalex.org/W4230588984"],"related_works":["https://openalex.org/W2373741815","https://openalex.org/W2399084168","https://openalex.org/W2358058270","https://openalex.org/W2036369250","https://openalex.org/W2158522165","https://openalex.org/W2892323093","https://openalex.org/W2365821276","https://openalex.org/W2383030695","https://openalex.org/W2347756416","https://openalex.org/W2354568565"],"abstract_inverted_index":{"This":[0,18],"paper":[1],"introduces":[2],"a":[3,40],"new":[4,52],"adaptive":[5,19,98],"fuzzy":[6,14,35,71],"clustering":[7,36,68],"algorithm":[8,53,87,94],"which":[9,38],"combines":[10],"the":[11,25,34,44,49,56,64,76,86,97,101],"capability":[12,20,99],"of":[13,27,33,46,58,67,100],"mathematics":[15],"and":[16,29,81],"adaptation.":[17],"is":[21,88],"achieved":[22],"by":[23],"using":[24],"mechanism":[26],"splitting":[28],"merging.":[30],"Unlike":[31],"most":[32],"algorithms":[37],"require":[39],"priori":[41],"knowledge":[42],"about":[43],"number":[45,57],"classes":[47,59],"in":[48,90],"dataset,":[50],"this":[51],"can":[54],"learn":[55],"dynamically.":[60],"It":[61],"also":[62,95],"gives":[63],"higher":[65],"accuracy":[66],"results":[69],"with":[70,75],"mathematics.":[72],"A":[73],"comparison":[74],"K-Means,":[77],"ISODATA,":[78],"Fuzzy":[79],"C-Means":[80,83],"Possibilistic":[82],"shows":[84],"that":[85],"effective":[89],"image":[91],"segmentation.":[92],"The":[93],"enhances":[96],"ISODATA.":[102]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}