{"id":"https://openalex.org/W2019929754","doi":"https://doi.org/10.1109/fskd.2010.5569580","title":"Remote sensing image feature selection based on α-torrent rough set theory","display_name":"Remote sensing image feature selection based on α-torrent rough set theory","publication_year":2010,"publication_date":"2010-08-01","ids":{"openalex":"https://openalex.org/W2019929754","doi":"https://doi.org/10.1109/fskd.2010.5569580","mag":"2019929754"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2010.5569580","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2010.5569580","pdf_url":null,"source":{"id":"https://openalex.org/S4363608217","display_name":"2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery","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/A5100606628","display_name":"Xin Pan","orcid":"https://orcid.org/0000-0001-5326-4323"},"institutions":[{"id":"https://openalex.org/I4210143016","display_name":"Changchun Institute of Technology","ror":"https://ror.org/03r6wam78","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210143016"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xin Pan","raw_affiliation_strings":["School of Electrical & Information Technology, Changchun Institute of Posts and Telecommunications, Changchun, China","School of Electrical & Information Technology, Changchun Institute of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical & Information Technology, Changchun Institute of Posts and Telecommunications, Changchun, China","institution_ids":["https://openalex.org/I4210143016"]},{"raw_affiliation_string":"School of Electrical & Information Technology, Changchun Institute of Technology, China","institution_ids":["https://openalex.org/I4210143016"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044774238","display_name":"SuLi Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210143016","display_name":"Changchun Institute of Technology","ror":"https://ror.org/03r6wam78","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210143016"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"SuLi Zhang","raw_affiliation_strings":["School of Electrical & Information Technology, Changchun Institute of Posts and Telecommunications, Changchun, China","School of Electrical & Information Technology, Changchun Institute of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical & Information Technology, Changchun Institute of Posts and Telecommunications, Changchun, China","institution_ids":["https://openalex.org/I4210143016"]},{"raw_affiliation_string":"School of Electrical & Information Technology, Changchun Institute of Technology, China","institution_ids":["https://openalex.org/I4210143016"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100606628"],"corresponding_institution_ids":["https://openalex.org/I4210143016"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.19546248,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"1034","last_page":"1038"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9581000208854675,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9334999918937683,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.7783849239349365},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6862659454345703},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.675518810749054},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6734148263931274},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6357778310775757},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6262993812561035},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5178009271621704},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4575360119342804},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.44905003905296326},{"id":"https://openalex.org/keywords/vagueness","display_name":"Vagueness","score":0.43822845816612244},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4352441132068634},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42075416445732117},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19006207585334778},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.1476716697216034}],"concepts":[{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.7783849239349365},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6862659454345703},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.675518810749054},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6734148263931274},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6357778310775757},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6262993812561035},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5178009271621704},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4575360119342804},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.44905003905296326},{"id":"https://openalex.org/C2776825360","wikidata":"https://www.wikidata.org/wiki/Q1411921","display_name":"Vagueness","level":3,"score":0.43822845816612244},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4352441132068634},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42075416445732117},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19006207585334778},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.1476716697216034},{"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/fskd.2010.5569580","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2010.5569580","pdf_url":null,"source":{"id":"https://openalex.org/S4363608217","display_name":"2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery","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":11,"referenced_works":["https://openalex.org/W1533530351","https://openalex.org/W1994974007","https://openalex.org/W2089879726","https://openalex.org/W2093072860","https://openalex.org/W2110653042","https://openalex.org/W2145102530","https://openalex.org/W2155217320","https://openalex.org/W2340020088","https://openalex.org/W2913196191","https://openalex.org/W4255833381","https://openalex.org/W6632056168"],"related_works":["https://openalex.org/W2126563231","https://openalex.org/W3048286013","https://openalex.org/W1975547468","https://openalex.org/W2804627982","https://openalex.org/W2001679188","https://openalex.org/W4205493345","https://openalex.org/W2196068029","https://openalex.org/W2016342027","https://openalex.org/W2888859519","https://openalex.org/W1538678705"],"abstract_inverted_index":{"Supervised":[0],"classification":[1,18,44,57,76,151],"in":[2,10,73,96],"remote":[3,74],"sensing":[4,75],"imagery":[5],"is":[6],"receiving":[7],"increasing":[8],"attention":[9],"current":[11],"research.":[12],"In":[13,102],"order":[14],"to":[15,35,42,51,70,93],"improve":[16,56],"the":[17,94,105],"ability,":[19],"a":[20,36,63,97,120],"lot":[21],"of":[22,100],"spatial-features":[23],"have":[24,49],"been":[25,68],"utilized.":[26],"Unfortunately,":[27],"too":[28],"many":[29],"features":[30,148],"often":[31],"cause":[32],"classifier":[33],"over-fit":[34],"certain":[37],"features'":[38],"character":[39],"and":[40,55,88,137,149],"lead":[41],"lower":[43],"accuracy.":[45,58,152],"Feature":[46],"selection":[47,123],"algorithms":[48],"utilized":[50],"select":[52,146],"useful":[53],"feature":[54,122],"Rough":[59],"set":[60,129,140],"theory,":[61],"as":[62],"powerful":[64],"analysis":[65],"tool,":[66],"has":[67],"proven":[69],"be":[71],"effective":[72],"field.":[77],"But":[78],"spectral":[79,85,89],"uncertainty":[80],"or":[81],"vagueness":[82],"caused":[83],"by":[84],"confusion":[86],"between-class":[87],"variation":[90],"within-class":[91],"leads":[92],"overlap":[95],"large":[98],"number":[99],"features.":[101],"these":[103],"cases,":[104],"traditional":[106,138],"rough":[107,128,139],"sets":[108],"can":[109],"not":[110],"perform":[111],"effectively.":[112],"To":[113],"solve":[114],"this":[115,117],"problem,":[116],"research":[118],"proposed":[119],"new":[121],"method":[124,144],"based":[125],"on":[126],"\u03b1-Torrent":[127],"theory.":[130],"The":[131],"experiments":[132],"showed,":[133],"compared":[134],"with":[135],"PCA":[136],"method,":[141],"that":[142],"our":[143],"could":[145],"usefully":[147],"improved":[150]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}