{"id":"https://openalex.org/W2543734831","doi":"https://doi.org/10.1109/whispers.2012.6874289","title":"Unsupervised multispectral image classification","display_name":"Unsupervised multispectral image classification","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2543734831","doi":"https://doi.org/10.1109/whispers.2012.6874289","mag":"2543734831"},"language":"en","primary_location":{"id":"doi:10.1109/whispers.2012.6874289","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2012.6874289","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 4th Workshop on Hyperspectral Image and Signal Processing (WHISPERS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101889578","display_name":"Shih-Yu Chen","orcid":"https://orcid.org/0000-0003-3305-514X"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shih-Yu Chen","raw_affiliation_strings":["Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, Baltimore, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, Baltimore, MD, USA","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061511657","display_name":"Chinsu Lin","orcid":"https://orcid.org/0000-0002-4513-8674"},"institutions":[{"id":"https://openalex.org/I183570559","display_name":"National Chiayi University","ror":"https://ror.org/04gknbs13","country_code":"TW","type":"education","lineage":["https://openalex.org/I183570559"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chinsu Lin","raw_affiliation_strings":["Department of Forestry and Natural Resources, National Chiayi University, Chiayi, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Forestry and Natural Resources, National Chiayi University, Chiayi, Taiwan","institution_ids":["https://openalex.org/I183570559"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085257044","display_name":"Yen\u2010Chieh Ouyang","orcid":"https://orcid.org/0000-0002-4221-2787"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yen-Chieh Ouyang","raw_affiliation_strings":["Department of Electrical Engineering, ROC, Taichung, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, ROC, Taichung, Taiwan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073412670","display_name":"Chein\u2010I Chang","orcid":"https://orcid.org/0000-0002-5450-4891"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chein-I Chang","raw_affiliation_strings":["Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, Baltimore, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, Baltimore, MD, USA","institution_ids":["https://openalex.org/I79272384"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"42","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9811999797821045,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9783999919891357,"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/multispectral-image","display_name":"Multispectral image","score":0.8560835123062134},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7321147918701172},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7318741679191589},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7209121584892273},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6931215524673462},{"id":"https://openalex.org/keywords/multispectral-pattern-recognition","display_name":"Multispectral pattern recognition","score":0.576981246471405},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.5725936889648438},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5280174612998962},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.4710124731063843},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4466981291770935},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3552393317222595},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19018498063087463}],"concepts":[{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.8560835123062134},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7321147918701172},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7318741679191589},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7209121584892273},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6931215524673462},{"id":"https://openalex.org/C104541649","wikidata":"https://www.wikidata.org/wiki/Q6935090","display_name":"Multispectral pattern recognition","level":3,"score":0.576981246471405},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.5725936889648438},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5280174612998962},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.4710124731063843},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4466981291770935},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3552393317222595},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19018498063087463},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/whispers.2012.6874289","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2012.6874289","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 4th Workshop on Hyperspectral Image and Signal Processing (WHISPERS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7300000190734863,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1582058549","https://openalex.org/W2084134149","https://openalex.org/W2103504761","https://openalex.org/W2124776405","https://openalex.org/W2170281198","https://openalex.org/W6634825034"],"related_works":["https://openalex.org/W2128126485","https://openalex.org/W4382563209","https://openalex.org/W2124952510","https://openalex.org/W2777937183","https://openalex.org/W2108633818","https://openalex.org/W1752760603","https://openalex.org/W1995889410","https://openalex.org/W4389779246","https://openalex.org/W1517037119","https://openalex.org/W2125510194"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,15,55,72],"new":[4,73],"approach":[5,98],"to":[6,20,33,60,88],"unsupervised":[7,103],"classification":[8,90],"for":[9,54],"multispectral":[10],"imagery.":[11],"It":[12],"first":[13],"uses":[14],"Gaussian":[16],"pyramid":[17],"multi-resolution":[18],"technique":[19],"reduce":[21],"image":[22],"size":[23],"from":[24],"which":[25,81],"the":[26,96],"pixel":[27],"purity":[28],"index":[29],"(PPI)":[30],"is":[31],"implemented":[32],"find":[34],"regions":[35],"of":[36],"interest":[37],"(ROIs)":[38],"with":[39],"PPI":[40],"counts":[41],"greater":[42],"than":[43],"zero.":[44],"These":[45],"PPI-found":[46],"samples":[47,67],"are":[48,68],"further":[49,69],"used":[50],"as":[51],"support":[52,56],"vectors":[53],"vector":[57],"machine":[58],"(SVM)":[59],"classify":[61],"data.":[62],"The":[63,92],"resulting":[64],"SVM-classified":[65],"data":[66],"processed":[70],"by":[71],"designed":[74],"iterative":[75,86],"Fisher's":[76],"linear":[77],"discriminate":[78],"analysis":[79],"(IFLDA)":[80],"implements":[82],"FLDA":[83],"in":[84,102],"an":[85],"manner":[87],"refine":[89],"results.":[91],"experimental":[93],"results":[94],"show":[95],"proposed":[97],"has":[99],"great":[100],"promise":[101],"classification.":[104]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}