{"id":"https://openalex.org/W2984104979","doi":"https://doi.org/10.1109/igarss.2019.8899139","title":"Comparison of Target Detection Performance for Radiance and Reflectance Domain in VNIR Hyperspectral Images","display_name":"Comparison of Target Detection Performance for Radiance and Reflectance Domain in VNIR Hyperspectral Images","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2984104979","doi":"https://doi.org/10.1109/igarss.2019.8899139","mag":"2984104979"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2019.8899139","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8899139","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","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/A5091849007","display_name":"\u00d6mer \u00d6zdil","orcid":null},"institutions":[{"id":"https://openalex.org/I56303344","display_name":"Aselsan (Turkey)","ror":"https://ror.org/04knh8e66","country_code":"TR","type":"company","lineage":["https://openalex.org/I56303344"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Omer Ozdil","raw_affiliation_strings":["Image and Video Processing Group, HAVELSAN Inc., Ankara, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image and Video Processing Group, HAVELSAN Inc., Ankara, Turkey","institution_ids":["https://openalex.org/I56303344"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053347492","display_name":"Ahmet G\u00fcne\u015f","orcid":"https://orcid.org/0000-0003-1663-0368"},"institutions":[{"id":"https://openalex.org/I45542416","display_name":"Atilim University","ror":"https://ror.org/04pd3v454","country_code":"TR","type":"education","lineage":["https://openalex.org/I45542416"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Ahmet Gunes","raw_affiliation_strings":["Mechatronics Engineering, Atilim University, Ankara, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mechatronics Engineering, Atilim University, Ankara, Turkey","institution_ids":["https://openalex.org/I45542416"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065568442","display_name":"Yunus Emre Esin","orcid":"https://orcid.org/0000-0002-3719-9290"},"institutions":[{"id":"https://openalex.org/I56303344","display_name":"Aselsan (Turkey)","ror":"https://ror.org/04knh8e66","country_code":"TR","type":"company","lineage":["https://openalex.org/I56303344"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Yunus Emre Esin","raw_affiliation_strings":["Image and Video Processing Group, HAVELSAN Inc., Ankara, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image and Video Processing Group, HAVELSAN Inc., Ankara, Turkey","institution_ids":["https://openalex.org/I56303344"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063169881","display_name":"Berkan Demirel","orcid":"https://orcid.org/0000-0002-5759-6410"},"institutions":[{"id":"https://openalex.org/I56303344","display_name":"Aselsan (Turkey)","ror":"https://ror.org/04knh8e66","country_code":"TR","type":"company","lineage":["https://openalex.org/I56303344"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Berkan Demirel","raw_affiliation_strings":["Image and Video Processing Group, HAVELSAN Inc., Ankara, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image and Video Processing Group, HAVELSAN Inc., Ankara, Turkey","institution_ids":["https://openalex.org/I56303344"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103860260","display_name":"Safak \u00d6zt\u00fcrk","orcid":null},"institutions":[{"id":"https://openalex.org/I56303344","display_name":"Aselsan (Turkey)","ror":"https://ror.org/04knh8e66","country_code":"TR","type":"company","lineage":["https://openalex.org/I56303344"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Safak Ozturk","raw_affiliation_strings":["Image and Video Processing Group, HAVELSAN Inc., Ankara, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image and Video Processing Group, HAVELSAN Inc., Ankara, Turkey","institution_ids":["https://openalex.org/I56303344"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5437,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.72580095,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2186","last_page":"2189"},"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":0.996999979019165,"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":0.9750999808311462,"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/vnir","display_name":"VNIR","score":0.9932336211204529},{"id":"https://openalex.org/keywords/radiance","display_name":"Radiance","score":0.9398874044418335},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8788824081420898},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.7773731350898743},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5086532235145569},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4619932472705841},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44542351365089417},{"id":"https://openalex.org/keywords/altitude","display_name":"Altitude (triangle)","score":0.43018263578414917},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3770555853843689},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1898435652256012},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13801419734954834}],"concepts":[{"id":"https://openalex.org/C5457282","wikidata":"https://www.wikidata.org/wiki/Q7907352","display_name":"VNIR","level":3,"score":0.9932336211204529},{"id":"https://openalex.org/C23690007","wikidata":"https://www.wikidata.org/wiki/Q1411145","display_name":"Radiance","level":2,"score":0.9398874044418335},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8788824081420898},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.7773731350898743},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5086532235145569},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4619932472705841},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44542351365089417},{"id":"https://openalex.org/C6350597","wikidata":"https://www.wikidata.org/wiki/Q339495","display_name":"Altitude (triangle)","level":2,"score":0.43018263578414917},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3770555853843689},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1898435652256012},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13801419734954834},{"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/igarss.2019.8899139","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8899139","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.4000000059604645,"display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1527644548","https://openalex.org/W1963666984","https://openalex.org/W1972923945","https://openalex.org/W1978125380","https://openalex.org/W2027941783","https://openalex.org/W2037328426","https://openalex.org/W2040620464","https://openalex.org/W2050917502","https://openalex.org/W2057800360","https://openalex.org/W2062524627","https://openalex.org/W2069142928","https://openalex.org/W2123817565","https://openalex.org/W2131589663","https://openalex.org/W2144205029","https://openalex.org/W2154201226","https://openalex.org/W2406965488","https://openalex.org/W2901644407","https://openalex.org/W4285719527","https://openalex.org/W6714057401","https://openalex.org/W6756287793"],"related_works":["https://openalex.org/W2896728493","https://openalex.org/W2392142157","https://openalex.org/W2043512367","https://openalex.org/W2412485884","https://openalex.org/W2809209827","https://openalex.org/W4387802641","https://openalex.org/W2027460042","https://openalex.org/W2045337428","https://openalex.org/W2044082451","https://openalex.org/W2801095402"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"the":[3,51],"hyperspectral":[4],"detection":[5,36,77,115],"of":[6,17,55],"targets":[7],"in":[8,21,24,78,116,129],"visible-near":[9],"infrared":[10],"(VNIR)":[11],"images":[12,22,40,81,102],"is":[13,45,94],"studied.":[14],"The":[15,47,91],"change":[16],"radiance":[18,34,52,117],"domain":[19,35,53,118],"signatures":[20,54],"taken":[23,64,82,103],"different":[25,105],"locations,":[26],"time":[27],"and":[28,100,107,123],"altitudes":[29,84,106],"are":[30,59],"analyzed.":[31],"A":[32],"new":[33],"scheme":[37],"for":[38,73],"VNIR":[39,80,130],"under":[41],"1000":[42,88],"m":[43,67,89],"altitude":[44],"proposed.":[46],"analysis":[48],"shows":[49],"that":[50,58,113],"each":[56],"target,":[57],"collected":[60],"from":[61],"an":[62],"image":[63],"at":[65,83,104],"10":[66,86],"altitude,":[68],"can":[69],"be":[70],"effectively":[71],"used":[72],"pure":[74],"pixel":[75],"target":[76,98,114],"other":[79],"between":[85],"-":[87],".":[90],"proposed":[92],"approach":[93],"tested":[95],"using":[96],"several":[97],"types":[99],"on":[101],"environmental":[108],"conditions.":[109],"Our":[110],"results":[111],"show":[112],"provides":[119],"a":[120],"cheaper,":[121],"easier":[122],"effective":[124],"alternative":[125],"to":[126],"reflectance":[127],"domain,":[128],"images.":[131]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
