{"id":"https://openalex.org/W1680829358","doi":"https://doi.org/10.1109/nafips-wconsc.2015.7284133","title":"FuzzyVD: An algorithm that uses fuzzy logic and fuzzy systems to estimate the number of endmembers present in a hyperspectral image","display_name":"FuzzyVD: An algorithm that uses fuzzy logic and fuzzy systems to estimate the number of endmembers present in a hyperspectral image","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W1680829358","doi":"https://doi.org/10.1109/nafips-wconsc.2015.7284133","mag":"1680829358"},"language":"en","primary_location":{"id":"doi:10.1109/nafips-wconsc.2015.7284133","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nafips-wconsc.2015.7284133","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC)","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/A5024274478","display_name":"Jairo Salazar-Vazquez","orcid":null},"institutions":[{"id":"https://openalex.org/I68368234","display_name":"Center for Research and Advanced Studies of the National Polytechnic Institute","ror":"https://ror.org/009eqmr18","country_code":"MX","type":"facility","lineage":["https://openalex.org/I59361560","https://openalex.org/I68368234"]}],"countries":["MX"],"is_corresponding":true,"raw_author_name":"Jairo Salazar-Vazquez","raw_affiliation_strings":["Cinvestav Campus Guadalajara","Cinvestav Campus Guadalajara, Department of Electric Engineer, Jalisco, M\u00e9xico, Z.C. 45019"],"affiliations":[{"raw_affiliation_string":"Cinvestav Campus Guadalajara","institution_ids":["https://openalex.org/I68368234"]},{"raw_affiliation_string":"Cinvestav Campus Guadalajara, Department of Electric Engineer, Jalisco, M\u00e9xico, Z.C. 45019","institution_ids":["https://openalex.org/I68368234"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052468718","display_name":"Andres M\u00e9ndez-V\u00e1zquez","orcid":"https://orcid.org/0000-0001-7121-8195"},"institutions":[{"id":"https://openalex.org/I68368234","display_name":"Center for Research and Advanced Studies of the National Polytechnic Institute","ror":"https://ror.org/009eqmr18","country_code":"MX","type":"facility","lineage":["https://openalex.org/I59361560","https://openalex.org/I68368234"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Andres Mendez-Vazquez","raw_affiliation_strings":["Cinvestav Campus Guadalajara","Cinvestav Campus Guadalajara, Department of Electric Engineer, Jalisco, M\u00e9xico, Z.C. 45019"],"affiliations":[{"raw_affiliation_string":"Cinvestav Campus Guadalajara","institution_ids":["https://openalex.org/I68368234"]},{"raw_affiliation_string":"Cinvestav Campus Guadalajara, Department of Electric Engineer, Jalisco, M\u00e9xico, Z.C. 45019","institution_ids":["https://openalex.org/I68368234"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5024274478"],"corresponding_institution_ids":["https://openalex.org/I68368234"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05322486,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"5159","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"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":0.9998999834060669,"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/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.984499990940094,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9708999991416931,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8883994817733765},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.7621769905090332},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7420235276222229},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.638245165348053},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5978158712387085},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5459581017494202},{"id":"https://openalex.org/keywords/dependability","display_name":"Dependability","score":0.533227264881134},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48771795630455017},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4505952298641205},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.448361873626709},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.41277700662612915},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.376181036233902},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20220401883125305}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8883994817733765},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.7621769905090332},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7420235276222229},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.638245165348053},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5978158712387085},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5459581017494202},{"id":"https://openalex.org/C77019957","wikidata":"https://www.wikidata.org/wiki/Q2689057","display_name":"Dependability","level":2,"score":0.533227264881134},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48771795630455017},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4505952298641205},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.448361873626709},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.41277700662612915},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.376181036233902},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20220401883125305},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/nafips-wconsc.2015.7284133","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nafips-wconsc.2015.7284133","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC)","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":14,"referenced_works":["https://openalex.org/W2010514871","https://openalex.org/W2013482901","https://openalex.org/W2071200009","https://openalex.org/W2095832449","https://openalex.org/W2098295833","https://openalex.org/W2113951177","https://openalex.org/W2114486983","https://openalex.org/W2163886442","https://openalex.org/W2165755981","https://openalex.org/W2211548590","https://openalex.org/W2306710075","https://openalex.org/W2798102897","https://openalex.org/W6677072513","https://openalex.org/W6688205371"],"related_works":["https://openalex.org/W4252527915","https://openalex.org/W2409287660","https://openalex.org/W2233357156","https://openalex.org/W1976489385","https://openalex.org/W4256317220","https://openalex.org/W1506225852","https://openalex.org/W2141414364","https://openalex.org/W2376514150","https://openalex.org/W1523265213","https://openalex.org/W2363668972"],"abstract_inverted_index":{"The":[0,93],"application":[1,107],"fields":[2],"of":[3,18,48,60,81,109],"Hyperspectral":[4],"Image":[5],"(HI)":[6],"analysis":[7],"has":[8,118],"been":[9,119],"increasing":[10],"in":[11,38,84],"the":[12,16,49,58,65,79,106,113,127],"last":[13],"years":[14],"because":[15],"availability":[17],"new":[19,98],"devices":[20],"and":[21,43,104,123,126,132],"public":[22],"data-sets.":[23],"There":[24],"are":[25],"many":[26],"published":[27],"works":[28],"demonstrating":[29],"that":[30],"it":[31],"is":[32],"possible":[33],"to":[34,40,53,67,77,100,121],"use":[35],"hyperspectral":[36],"imagery":[37],"order":[39],"detect":[41],"targets":[42],"create":[44],"material":[45],"maps.":[46],"Many":[47],"proposed":[50],"techniques":[51],"require":[52,91],"have":[54],"prior":[55],"knowledge":[56],"about":[57],"number":[59,80],"different":[61,82],"materials":[62,83],"present":[63],"into":[64,112],"HI":[66,114],"be":[68],"analyzed.":[69],"This":[70,116],"paper":[71],"proposes":[72],"a":[73,85,97],"novel":[74],"algorithm,":[75],"FuzzyVD,":[76],"estimate":[78],"given":[86],"HI,":[87],"which":[88],"does":[89],"not":[90],"parameters.":[92],"FuzzyVD":[94],"algorithm":[95,117],"provide":[96],"approach":[99],"solve":[101],"this":[102],"problem":[103],"expands":[105],"field":[108],"fuzzy":[110],"logic":[111],"analysis.":[115],"applied":[120],"real":[122],"synthetic":[124],"images":[125],"results":[128],"conclude":[129],"its":[130],"robustness":[131],"dependability.":[133]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}