{"id":"https://openalex.org/W2994236817","doi":"https://doi.org/10.1109/whispers.2019.8920913","title":"Effects of the Atmospheric Compensation Method on Hyperspectral Rare Target Detection","display_name":"Effects of the Atmospheric Compensation Method on Hyperspectral Rare Target Detection","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2994236817","doi":"https://doi.org/10.1109/whispers.2019.8920913","mag":"2994236817"},"language":"en","primary_location":{"id":"doi:10.1109/whispers.2019.8920913","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2019.8920913","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 10th Workshop on Hyperspectral Imaging 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/A5043510778","display_name":"Robert Sundberg","orcid":null},"institutions":[{"id":"https://openalex.org/I178975111","display_name":"Spectral Sciences (United States)","ror":"https://ror.org/026jgjr74","country_code":"US","type":"company","lineage":["https://openalex.org/I178975111"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Robert Sundberg","raw_affiliation_strings":["Spectral Sciences, Inc., 4 Fourth Ave., Burlington, MA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Spectral Sciences, Inc., 4 Fourth Ave., Burlington, MA","institution_ids":["https://openalex.org/I178975111"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110858032","display_name":"S. M. Adler\u2010Golden","orcid":null},"institutions":[{"id":"https://openalex.org/I178975111","display_name":"Spectral Sciences (United States)","ror":"https://ror.org/026jgjr74","country_code":"US","type":"company","lineage":["https://openalex.org/I178975111"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Steve Adler-Golden","raw_affiliation_strings":["Spectral Sciences, Inc., 4 Fourth Ave., Burlington, MA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Spectral Sciences, Inc., 4 Fourth Ave., Burlington, MA","institution_ids":["https://openalex.org/I178975111"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I178975111"],"apc_list":null,"apc_paid":null,"fwci":0.7833,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.7015625,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":95},"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9993000030517578,"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":0.9993000030517578,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9966999888420105,"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"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9959999918937683,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8969917297363281},{"id":"https://openalex.org/keywords/subpixel-rendering","display_name":"Subpixel rendering","score":0.8890361785888672},{"id":"https://openalex.org/keywords/atmospheric-correction","display_name":"Atmospheric correction","score":0.6998661160469055},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6648287773132324},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.6001833081245422},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.5476979613304138},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5328773856163025},{"id":"https://openalex.org/keywords/atmospheric-emissions","display_name":"Atmospheric emissions","score":0.5173791646957397},{"id":"https://openalex.org/keywords/reflectivity","display_name":"Reflectivity","score":0.506013810634613},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39940735697746277},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.34137749671936035},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.21070873737335205},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.1327020227909088},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.09436148405075073},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08753466606140137}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8969917297363281},{"id":"https://openalex.org/C68516990","wikidata":"https://www.wikidata.org/wiki/Q452912","display_name":"Subpixel rendering","level":3,"score":0.8890361785888672},{"id":"https://openalex.org/C2778329001","wikidata":"https://www.wikidata.org/wiki/Q4817104","display_name":"Atmospheric correction","level":3,"score":0.6998661160469055},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6648287773132324},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.6001833081245422},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.5476979613304138},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5328773856163025},{"id":"https://openalex.org/C2994553857","wikidata":"https://www.wikidata.org/wiki/Q131123","display_name":"Atmospheric emissions","level":2,"score":0.5173791646957397},{"id":"https://openalex.org/C108597893","wikidata":"https://www.wikidata.org/wiki/Q663650","display_name":"Reflectivity","level":2,"score":0.506013810634613},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39940735697746277},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.34137749671936035},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.21070873737335205},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.1327020227909088},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.09436148405075073},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08753466606140137},{"id":"https://openalex.org/C91586092","wikidata":"https://www.wikidata.org/wiki/Q757520","display_name":"Atmospheric sciences","level":1,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/whispers.2019.8920913","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2019.8920913","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2007723148","https://openalex.org/W2041709052","https://openalex.org/W2079447599","https://openalex.org/W2092387408","https://openalex.org/W2105234315","https://openalex.org/W2119963163","https://openalex.org/W2125341398","https://openalex.org/W2134213291","https://openalex.org/W2953277363"],"related_works":["https://openalex.org/W2369528593","https://openalex.org/W2385629811","https://openalex.org/W2638735979","https://openalex.org/W2111510641","https://openalex.org/W2386795888","https://openalex.org/W1968995436","https://openalex.org/W2343343867","https://openalex.org/W4327563490","https://openalex.org/W2183650455","https://openalex.org/W2885195808"],"abstract_inverted_index":{"This":[0,83],"study":[1],"examines":[2],"how":[3],"hyperspectral":[4],"rare":[5],"target":[6,28],"detection":[7,29,65,125],"performance":[8],"is":[9,49,66],"affected":[10],"by":[11,115],"the":[12,20,39,67,74,85,88,96,116],"method":[13],"of":[14,69,87,98,119],"atmospheric":[15,45,70,130],"compensation":[16,46,131],"used":[17],"to":[18,22,35,51],"convert":[19],"data":[21,112],"reflectance":[23,75],"units.":[24],"Rare":[25],"and":[26,95,127,135],"subpixel":[27],"algorithms":[30],"employ":[31],"contrast":[32],"enhancement":[33],"methods":[34,102],"suppress":[36],"signatures":[37],"from":[38],"background":[40],"materials.":[41],"Therefore,":[42],"when":[43],"evaluating":[44],"methods,":[47],"it":[48],"important":[50],"consider":[52],"their":[53],"accuracy":[54],"in":[55,73],"contrast-enhanced":[56],"space.":[57],"In":[58],"particular,":[59],"a":[60],"key":[61],"requirement":[62],"for":[63],"good":[64],"suppression":[68],"band":[71],"residuals":[72],"spectra,":[76],"making":[77],"them":[78],"as":[79,81],"smooth":[80],"possible.":[82],"explains":[84],"success":[86],"empirical":[89],"Quick":[90],"Atmospheric":[91],"Correction":[92],"(QUAC)":[93],"algorithm":[94],"importance":[97],"supplementing":[99],"first":[100],"principles":[101],"with":[103],"spectral":[104],"polishing.":[105],"We":[106],"illustrate":[107],"these":[108],"findings":[109],"using":[110],"two":[111],"sets":[113],"acquired":[114],"Rochester":[117],"Institute":[118],"Technology":[120],"(RIT),":[121],"three":[122,128],"different":[123,129],"whitening-based":[124],"algorithms,":[126,132],"QUAC,":[133],"FLAASH":[134],"ATCOR.":[136]},"counts_by_year":[{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}