{"id":"https://openalex.org/W2097791893","doi":"https://doi.org/10.1109/whispers.2009.5289051","title":"Hyperspectral target detection using multiple platform cuing","display_name":"Hyperspectral target detection using multiple platform cuing","publication_year":2009,"publication_date":"2009-08-01","ids":{"openalex":"https://openalex.org/W2097791893","doi":"https://doi.org/10.1109/whispers.2009.5289051","mag":"2097791893"},"language":"en","primary_location":{"id":"doi:10.1109/whispers.2009.5289051","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2009.5289051","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing","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/A5040385195","display_name":"John P. Kerekes","orcid":"https://orcid.org/0000-0002-0754-8170"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J. Kerekes","raw_affiliation_strings":["Rochester Institute of Technology, Rochester, NY, USA","Rochester Institute of Technology, NY (USA)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology, Rochester, NY, USA","institution_ids":["https://openalex.org/I155173764"]},{"raw_affiliation_string":"Rochester Institute of Technology, NY (USA)","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075247778","display_name":"David Pogorzala","orcid":null},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"D. Pogorzala","raw_affiliation_strings":["Rochester Institute of Technology, Rochester, NY, USA","Rochester Institute of Technology, NY (USA)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology, Rochester, NY, USA","institution_ids":["https://openalex.org/I155173764"]},{"raw_affiliation_string":"Rochester Institute of Technology, NY (USA)","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019425529","display_name":"Jeannette Parkes","orcid":"https://orcid.org/0000-0002-7735-1111"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J. Parkes","raw_affiliation_strings":["Rochester Institute of Technology, Rochester, NY, USA","Rochester Institute of Technology, NY (USA)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology, Rochester, NY, USA","institution_ids":["https://openalex.org/I155173764"]},{"raw_affiliation_string":"Rochester Institute of Technology, NY (USA)","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079166344","display_name":"A.K. Shaw","orcid":"https://orcid.org/0000-0001-5183-7247"},"institutions":[{"id":"https://openalex.org/I19648265","display_name":"Wright State University","ror":"https://ror.org/04qk6pt94","country_code":"US","type":"education","lineage":["https://openalex.org/I19648265"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A. Shaw","raw_affiliation_strings":["Gitam Technologies, Inc., Wright State University, Dayton, OH, USA","Gitam Technologies, Inc. and Wright State University, Dayton, OH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Gitam Technologies, Inc., Wright State University, Dayton, OH, USA","institution_ids":["https://openalex.org/I19648265"]},{"raw_affiliation_string":"Gitam Technologies, Inc. and Wright State University, Dayton, OH, USA","institution_ids":["https://openalex.org/I19648265"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5097341149","display_name":"D. Rahnb","orcid":null},"institutions":[{"id":"https://openalex.org/I19648265","display_name":"Wright State University","ror":"https://ror.org/04qk6pt94","country_code":"US","type":"education","lineage":["https://openalex.org/I19648265"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"D. Rahnb","raw_affiliation_strings":["Gitam Technologies, Inc. and Wright State University, Dayton, OH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Gitam Technologies, Inc. and Wright State University, Dayton, OH, USA","institution_ids":["https://openalex.org/I19648265"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5416,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.79847728,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"5075","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":0.9994999766349792,"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":0.9994999766349792,"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":0.9908000230789185,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9458000063896179,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9323370456695557},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.8481307029724121},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7409653663635254},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6914879679679871},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6514520645141602},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6346865892410278},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4442494809627533},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3708820343017578},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3693397641181946},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10454455018043518}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9323370456695557},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8481307029724121},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7409653663635254},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6914879679679871},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6514520645141602},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6346865892410278},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4442494809627533},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3708820343017578},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3693397641181946},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10454455018043518},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/whispers.2009.5289051","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2009.5289051","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8399999737739563,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1993174891","https://openalex.org/W2037239062","https://openalex.org/W2040985699","https://openalex.org/W2067782748","https://openalex.org/W2117343777"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2070598848","https://openalex.org/W3034375524","https://openalex.org/W2027399350","https://openalex.org/W2060875994","https://openalex.org/W2385371209","https://openalex.org/W4250051149","https://openalex.org/W1991437568","https://openalex.org/W2083270190"],"abstract_inverted_index":{"Hyperspectral":[0],"imaging":[1],"has":[2,37],"been":[3,23],"demonstrated":[4],"to":[5,39,58,62,80,98,109,132,135],"achieve":[6],"unresolved":[7],"object":[8,138],"detection":[9,54,86],"through":[10],"use":[11,30,63,123],"of":[12,31,67,89,102,121,124,130,143,157],"the":[13,29,64,100,119,122],"spectral":[14],"information.":[15],"However,":[16],"in":[17,24,43],"many":[18],"cases,":[19],"these":[20],"demonstrations":[21],"have":[22],"near":[25],"ideal":[26],"situations":[27,45],"where":[28],"laboratory":[32],"spectra":[33,125],"with":[34],"pristine":[35],"data":[36],"lead":[38],"success.":[40],"Complexities":[41],"introduced":[42],"real-world":[44],"such":[46,105],"as":[47,106],"a":[48,71,140,154],"cluttered":[49],"urban":[50],"environment":[51],"make":[52],"successful":[53],"challenging.":[55],"One":[56],"approach":[57],"improving":[59],"performance":[60,149],"is":[61],"synergistic":[65],"effects":[66],"multiple":[68,75],"sensors":[69,76],"surveying":[70],"common":[72],"area.":[73],"These":[74],"can":[77,150],"be":[78,133,151],"used":[79,108,134],"cue":[81],"each":[82],"other":[83],"and":[84,113,159],"enhance":[85],"or":[87],"tracking":[88],"objects.":[90],"For":[91],"maximum":[92],"robustness,":[93],"however":[94],"one":[95,128],"would":[96],"want":[97],"minimize":[99],"complexity":[101],"processing":[103],"algorithms":[104],"those":[107],"compensate":[110],"for":[111],"atmospheric":[112],"illumination":[114,158],"effects.":[115],"This":[116],"paper":[117],"investigates":[118],"limits":[120],"observed":[126],"under":[127,139],"set":[129,142],"conditions":[131],"detect":[136],"an":[137],"different":[141],"conditions.":[144,161],"The":[145],"results":[146],"indicate":[147],"good":[148],"achieved":[152],"across":[153],"reasonable":[155],"range":[156],"viewing":[160]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
