{"id":"https://openalex.org/W2014875964","doi":"https://doi.org/10.1109/igarss.2012.6351270","title":"Robust classification of hyperspectral images based on the combination of supervised and unsupervised learning paradigms","display_name":"Robust classification of hyperspectral images based on the combination of supervised and unsupervised learning paradigms","publication_year":2012,"publication_date":"2012-07-01","ids":{"openalex":"https://openalex.org/W2014875964","doi":"https://doi.org/10.1109/igarss.2012.6351270","mag":"2014875964"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2012.6351270","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2012.6351270","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 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/A5052594698","display_name":"Naif Alajlan","orcid":"https://orcid.org/0000-0003-1846-1131"},"institutions":[{"id":"https://openalex.org/I28022161","display_name":"King Saud University","ror":"https://ror.org/02f81g417","country_code":"SA","type":"education","lineage":["https://openalex.org/I28022161"]}],"countries":["SA"],"is_corresponding":true,"raw_author_name":"Naif Alajlan","raw_affiliation_strings":["ALISR Laboratory, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia","ALISR Laboratory, College of Computer and Information Sciences, King Saud University, P.O. BOX. 51173, Riyadh 11543, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"ALISR Laboratory, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I28022161"]},{"raw_affiliation_string":"ALISR Laboratory, College of Computer and Information Sciences, King Saud University, P.O. BOX. 51173, Riyadh 11543, Saudi Arabia","institution_ids":["https://openalex.org/I28022161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054237841","display_name":"Yakoub Bazi","orcid":"https://orcid.org/0000-0001-9287-0596"},"institutions":[{"id":"https://openalex.org/I28022161","display_name":"King Saud University","ror":"https://ror.org/02f81g417","country_code":"SA","type":"education","lineage":["https://openalex.org/I28022161"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Yakoub Bazi","raw_affiliation_strings":["ALISR Laboratory, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia","ALISR Laboratory, College of Computer and Information Sciences, King Saud University, P.O. BOX. 51173, Riyadh 11543, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"ALISR Laboratory, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I28022161"]},{"raw_affiliation_string":"ALISR Laboratory, College of Computer and Information Sciences, King Saud University, P.O. BOX. 51173, Riyadh 11543, Saudi Arabia","institution_ids":["https://openalex.org/I28022161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030617821","display_name":"Haikel Alhichri","orcid":"https://orcid.org/0000-0003-2164-043X"},"institutions":[{"id":"https://openalex.org/I28022161","display_name":"King Saud University","ror":"https://ror.org/02f81g417","country_code":"SA","type":"education","lineage":["https://openalex.org/I28022161"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Haikel AlHichri","raw_affiliation_strings":["ALISR Laboratory, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia","ALISR Laboratory, College of Computer and Information Sciences, King Saud University, P.O. BOX. 51173, Riyadh 11543, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"ALISR Laboratory, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I28022161"]},{"raw_affiliation_string":"ALISR Laboratory, College of Computer and Information Sciences, King Saud University, P.O. BOX. 51173, Riyadh 11543, Saudi Arabia","institution_ids":["https://openalex.org/I28022161"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087486329","display_name":"Essam Othman","orcid":null},"institutions":[{"id":"https://openalex.org/I28022161","display_name":"King Saud University","ror":"https://ror.org/02f81g417","country_code":"SA","type":"education","lineage":["https://openalex.org/I28022161"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Essam Othman","raw_affiliation_strings":["ALISR Laboratory, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia","ALISR Laboratory, College of Computer and Information Sciences, King Saud University, P.O. BOX. 51173, Riyadh 11543, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"ALISR Laboratory, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I28022161"]},{"raw_affiliation_string":"ALISR Laboratory, College of Computer and Information Sciences, King Saud University, P.O. BOX. 51173, Riyadh 11543, Saudi Arabia","institution_ids":["https://openalex.org/I28022161"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5052594698"],"corresponding_institution_ids":["https://openalex.org/I28022161"],"apc_list":null,"apc_paid":null,"fwci":1.0202,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.7895876,"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":"1417","last_page":"1420"},"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9958000183105469,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9695000052452087,"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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7500123977661133},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7191440463066101},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6645570993423462},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6309285759925842},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.5980873107910156},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5912588834762573},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.5882053375244141},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.4861566722393036},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4504221975803375},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.415517121553421},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3318389058113098},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.21290183067321777},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.14268603920936584}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7500123977661133},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7191440463066101},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6645570993423462},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6309285759925842},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.5980873107910156},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5912588834762573},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.5882053375244141},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.4861566722393036},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4504221975803375},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.415517121553421},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3318389058113098},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.21290183067321777},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.14268603920936584}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2012.6351270","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2012.6351270","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320335045","display_name":"National Plan for Science, Technology and Innovation","ror":"https://ror.org/02f81g417"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2098057602","https://openalex.org/W2102219056","https://openalex.org/W2131864940","https://openalex.org/W2134601045","https://openalex.org/W2136251662","https://openalex.org/W2147590979","https://openalex.org/W2149767701","https://openalex.org/W2149870286","https://openalex.org/W2153534417"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2070598848","https://openalex.org/W2044184146","https://openalex.org/W4313014865","https://openalex.org/W2019190440","https://openalex.org/W2147064750"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,104],"propose":[4,105],"to":[5,36,46,90,106],"improve":[6],"the":[7,15,18,25,32,42,55,58,65,74,91,100,108],"classification":[8,40,93,102],"accuracy":[9],"of":[10,17,50,111],"hyperspectral":[11],"images":[12],"by":[13,64],"fusing":[14],"capabilities":[16],"support":[19],"vector":[20],"machine":[21],"(SVM)":[22],"classifier":[23],"and":[24,123],"fuzzy":[26],"C-means":[27],"(FCM)":[28],"clustering":[29,51,75],"algorithm.":[30],"While":[31],"former":[33],"is":[34,44],"used":[35,72],"generate":[37,99],"a":[38,84],"spectral-based":[39],"map,":[41],"latter":[43],"adopted":[45],"provide":[47],"an":[48],"ensemble":[49],"maps.":[52],"To":[53,98],"reduce":[54],"computation":[56],"complexity,":[57],"most":[59],"representative":[60],"spectral":[61],"channels":[62],"identified":[63],"Markov":[66,124],"Fisher":[67],"Selector":[68],"(MFS)":[69],"algorithm":[70],"are":[71,80],"during":[73],"process.":[76],"Then,":[77],"these":[78],"maps":[79,113],"successively":[81],"labeled":[82],"via":[83],"pairwise":[85],"relabeling":[86],"procedure":[87],"with":[88],"respect":[89],"SVM-based":[92],"map":[94],"using":[95],"voting":[96,121],"rules.":[97],"final":[101],"result,":[103],"aggregate":[107],"obtained":[109],"set":[110],"spectro-spatial":[112],"through":[114],"two":[115],"different":[116],"fusion":[117],"methods":[118],"based":[119],"on":[120],"rules":[122],"Random":[125],"Field":[126],"(MRF)":[127],"theory.":[128]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}