{"id":"https://openalex.org/W2765666704","doi":"https://doi.org/10.1109/whispers.2013.8080600","title":"Using variance analysis to differentiate similar classes in hyperspectral imagery","display_name":"Using variance analysis to differentiate similar classes in hyperspectral imagery","publication_year":2013,"publication_date":"2013-06-01","ids":{"openalex":"https://openalex.org/W2765666704","doi":"https://doi.org/10.1109/whispers.2013.8080600","mag":"2765666704"},"language":"en","primary_location":{"id":"doi:10.1109/whispers.2013.8080600","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2013.8080600","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (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/A5028103832","display_name":"John B. Lunzer","orcid":null},"institutions":[{"id":"https://openalex.org/I4210117728","display_name":"Center For Remote Sensing (United States)","ror":"https://ror.org/021wvg932","country_code":"US","type":"company","lineage":["https://openalex.org/I4210117728"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John Lunzer","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Laboratory for Applied Remote Sensing and Image Processing (LARSIP), Mayaguez, PR, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Laboratory for Applied Remote Sensing and Image Processing (LARSIP), Mayaguez, PR, USA","institution_ids":["https://openalex.org/I4210117728"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052507743","display_name":"Shawn Hunt","orcid":"https://orcid.org/0000-0002-9866-4408"},"institutions":[{"id":"https://openalex.org/I4210117728","display_name":"Center For Remote Sensing (United States)","ror":"https://ror.org/021wvg932","country_code":"US","type":"company","lineage":["https://openalex.org/I4210117728"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shawn Hunt","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Laboratory for Applied Remote Sensing and Image Processing (LARSIP), Mayaguez, PR, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Laboratory for Applied Remote Sensing and Image Processing (LARSIP), Mayaguez, PR, USA","institution_ids":["https://openalex.org/I4210117728"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210117728"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.38049579,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"231","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":0.9980000257492065,"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":0.9980000257492065,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.994700014591217,"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":0.9837999939918518,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9174600839614868},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.7197596430778503},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6713447570800781},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6272327899932861},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5784374475479126},{"id":"https://openalex.org/keywords/specular-reflection","display_name":"Specular reflection","score":0.5209727883338928},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4857947826385498},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4682418406009674},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4630906879901886},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.4522070586681366},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.4258239269256592},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4034523367881775},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3744050860404968},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2918885350227356},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2855567932128906},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.15230154991149902},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.11139476299285889}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9174600839614868},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7197596430778503},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6713447570800781},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6272327899932861},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5784374475479126},{"id":"https://openalex.org/C118381688","wikidata":"https://www.wikidata.org/wiki/Q1079524","display_name":"Specular reflection","level":2,"score":0.5209727883338928},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4857947826385498},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4682418406009674},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4630906879901886},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.4522070586681366},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.4258239269256592},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4034523367881775},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3744050860404968},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2918885350227356},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2855567932128906},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.15230154991149902},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.11139476299285889},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/whispers.2013.8080600","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2013.8080600","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 5th 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":5,"referenced_works":["https://openalex.org/W1608180792","https://openalex.org/W2091397530","https://openalex.org/W2107919956","https://openalex.org/W2336763592","https://openalex.org/W6621334021"],"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/W2404757046","https://openalex.org/W2044184146","https://openalex.org/W4313014865","https://openalex.org/W2076134148"],"abstract_inverted_index":{"Several":[0],"phenomena":[1],"in":[2,50],"hyperspectral":[3,72],"imagery":[4],"affect":[5],"the":[6,51,62,82,85],"ability":[7],"to":[8,12,28,48],"differentiate":[9],"pixels":[10],"belonging":[11],"similar":[13,54],"classes.":[14,55,102],"Sensor":[15],"noise,":[16],"pixel":[17],"mixing":[18],"at":[19],"various":[20],"spatial":[21],"resolutions,":[22],"bit":[23],"depth":[24],"reduction":[25],"from":[26],"conversion":[27],"reflectance,":[29],"shadows,":[30],"specular":[31],"reflectance":[32],"and":[33,70,98],"class":[34,39,97],"specific":[35],"properties":[36],"all":[37],"complicate":[38],"differentiability.":[40],"This":[41,56],"paper":[42],"presents":[43],"a":[44,95],"statistical":[45,78],"testing":[46],"method":[47],"aid":[49],"separation":[52],"of":[53,64,84],"hypothesis":[57],"test":[58],"with":[59],"variance":[60],"as":[61],"parameter":[63],"interest":[65],"is":[66],"performed":[67],"on":[68,81],"synthetic":[69],"real":[71],"imagery.":[73],"The":[74],"results":[75],"show":[76],"that":[77],"tests":[79],"based":[80],"model":[83],"spectral":[86],"presented":[87],"here":[88],"can":[89],"sucessfully":[90],"identify":[91],"samples":[92],"containing":[93,100],"only":[94],"single":[96],"those":[99],"multiple":[101]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}