{"id":"https://openalex.org/W2765664331","doi":"https://doi.org/10.1109/whispers.2015.8075508","title":"Band detection in hyperspectral imagery by pixel purity index","display_name":"Band detection in hyperspectral imagery by pixel purity index","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W2765664331","doi":"https://doi.org/10.1109/whispers.2015.8075508","mag":"2765664331"},"language":"en","primary_location":{"id":"doi:10.1109/whispers.2015.8075508","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2015.8075508","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)","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/A5073412670","display_name":"Chein\u2010I Chang","orcid":"https://orcid.org/0000-0002-5450-4891"},"institutions":[{"id":"https://openalex.org/I126744593","display_name":"University of Maryland, Baltimore","ror":"https://ror.org/04rq5mt64","country_code":"US","type":"education","lineage":["https://openalex.org/I126744593"]}],"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, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore, MD, USA","institution_ids":["https://openalex.org/I126744593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100695373","display_name":"Yao Li","orcid":"https://orcid.org/0000-0002-5552-2282"},"institutions":[{"id":"https://openalex.org/I126744593","display_name":"University of Maryland, Baltimore","ror":"https://ror.org/04rq5mt64","country_code":"US","type":"education","lineage":["https://openalex.org/I126744593"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yao Li","raw_affiliation_strings":["Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore, MD, USA","institution_ids":["https://openalex.org/I126744593"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109347795","display_name":"Chao-Cheng Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I118292597","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09","country_code":"TW","type":"education","lineage":["https://openalex.org/I118292597"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chao-Cheng Wu","raw_affiliation_strings":["Department of Electrical Engineering, National Taipei University of Technology, Taipei, Taiwan, ROC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Taipei University of Technology, Taipei, Taiwan, ROC","institution_ids":["https://openalex.org/I118292597"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.41867029,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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":0.9879999756813049,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9825000166893005,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/endmember","display_name":"Endmember","score":0.9356743693351746},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.842919111251831},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.7465131282806396},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6762990951538086},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6064435839653015},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.604401171207428},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5276894569396973},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5195813179016113},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4869178533554077},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.48270297050476074},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.43953990936279297},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.417765736579895},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.41433802247047424},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.41250914335250854},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.14388501644134521},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.07985952496528625}],"concepts":[{"id":"https://openalex.org/C58237817","wikidata":"https://www.wikidata.org/wiki/Q5376204","display_name":"Endmember","level":3,"score":0.9356743693351746},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.842919111251831},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7465131282806396},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6762990951538086},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6064435839653015},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.604401171207428},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5276894569396973},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5195813179016113},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4869178533554077},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.48270297050476074},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.43953990936279297},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.417765736579895},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.41433802247047424},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.41250914335250854},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.14388501644134521},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.07985952496528625},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/whispers.2015.8075508","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2015.8075508","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)","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":6,"referenced_works":["https://openalex.org/W1977895124","https://openalex.org/W2000221675","https://openalex.org/W2109211655","https://openalex.org/W2132638760","https://openalex.org/W2170395949","https://openalex.org/W3195212285"],"related_works":["https://openalex.org/W2037328426","https://openalex.org/W1990914742","https://openalex.org/W3106536224","https://openalex.org/W2891033441","https://openalex.org/W2006559622","https://openalex.org/W2315521504","https://openalex.org/W2890371384","https://openalex.org/W2773863718","https://openalex.org/W2563324120","https://openalex.org/W2040756827"],"abstract_inverted_index":{"Pixel":[0],"purity":[1],"index":[2],"(PPI)":[3],"is":[4,19,63],"a":[5,26,40,81],"very":[6,21],"popular":[7],"endmember":[8],"finding":[9],"algorithm":[10],"due":[11],"to":[12,24,45,55,64,76],"its":[13],"availability":[14],"in":[15,80,94],"ENVI":[16],"software.":[17],"It":[18],"also":[20],"useful":[22],"technique":[23],"find":[25],"feasible":[27],"set":[28],"of":[29,43,47,67,73],"potential":[30],"target":[31],"signal":[32],"sources":[33],"without":[34],"prior":[35],"knowledge.":[36],"This":[37],"paper":[38],"presents":[39],"new":[41,98],"application":[42],"PPI":[44,78,95],"detection":[46,59],"significant":[48],"bands":[49,99],"by":[50,91],"orthogonal":[51],"projection":[52],"(OP),":[53],"referred":[54],"as":[56,97],"PPI-based":[57],"band":[58,69,86],"(PPI-BD).":[60],"Its":[61],"idea":[62],"take":[65],"advantage":[66],"the":[68],"sequential":[70],"(BSQ)":[71],"format":[72],"data":[74],"acquisition":[75],"process":[77],"band-by-band":[79],"progressive":[82],"manner,":[83],"so":[84],"that":[85],"significance":[87],"can":[88],"be":[89],"detected":[90],"rapid":[92],"changes":[93],"counts":[96],"are":[100],"progressively":[101],"processed.":[102]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}