{"id":"https://openalex.org/W2729660995","doi":"https://doi.org/10.1109/siu.2017.7960324","title":"Forming representative signature for vegetation detection in hyperspectral images","display_name":"Forming representative signature for vegetation detection in hyperspectral images","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2729660995","doi":"https://doi.org/10.1109/siu.2017.7960324","mag":"2729660995"},"language":"en","primary_location":{"id":"doi:10.1109/siu.2017.7960324","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2017.7960324","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 25th Signal Processing and Communications Applications Conference (SIU)","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":true,"raw_author_name":"Omer Ozdil","raw_affiliation_strings":["Alg\u0131lay\u0131c\u0131lar, Sinyal ve G\u00f6r\u00fcnt\u00fc \u0130\u015fleme Grubu, HAVELSAN A.\u015e, Ankara, T\u00fcrkiye"],"affiliations":[{"raw_affiliation_string":"Alg\u0131lay\u0131c\u0131lar, Sinyal ve G\u00f6r\u00fcnt\u00fc \u0130\u015fleme Grubu, HAVELSAN A.\u015e, Ankara, T\u00fcrkiye","institution_ids":["https://openalex.org/I56303344"]}]},{"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":["Alg\u0131lay\u0131c\u0131lar, Sinyal ve G\u00f6r\u00fcnt\u00fc \u0130\u015fleme Grubu, HAVELSAN A.\u015e, Ankara, T\u00fcrkiye"],"affiliations":[{"raw_affiliation_string":"Alg\u0131lay\u0131c\u0131lar, Sinyal ve G\u00f6r\u00fcnt\u00fc \u0130\u015fleme Grubu, HAVELSAN A.\u015e, Ankara, T\u00fcrkiye","institution_ids":["https://openalex.org/I56303344"]}]},{"author_position":"last","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":["Alg\u0131lay\u0131c\u0131lar, Sinyal ve G\u00f6r\u00fcnt\u00fc \u0130\u015fleme Grubu, HAVELSAN A.\u015e, Ankara, T\u00fcrkiye"],"affiliations":[{"raw_affiliation_string":"Alg\u0131lay\u0131c\u0131lar, Sinyal ve G\u00f6r\u00fcnt\u00fc \u0130\u015fleme Grubu, HAVELSAN A.\u015e, Ankara, T\u00fcrkiye","institution_ids":["https://openalex.org/I56303344"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5091849007"],"corresponding_institution_ids":["https://openalex.org/I56303344"],"apc_list":null,"apc_paid":null,"fwci":0.4708,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.69865488,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"19","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":0.9991000294685364,"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":0.9991000294685364,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9970999956130981,"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"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9943000078201294,"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":0.929664134979248},{"id":"https://openalex.org/keywords/spectral-signature","display_name":"Spectral signature","score":0.7669824361801147},{"id":"https://openalex.org/keywords/signature","display_name":"Signature (topology)","score":0.6843155026435852},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5217405557632446},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.4644584357738495},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45703116059303284},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43912553787231445},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.4255935847759247},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41304680705070496},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29082387685775757},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1491645872592926},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14344587922096252}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.929664134979248},{"id":"https://openalex.org/C176641082","wikidata":"https://www.wikidata.org/wiki/Q2446767","display_name":"Spectral signature","level":2,"score":0.7669824361801147},{"id":"https://openalex.org/C2779696439","wikidata":"https://www.wikidata.org/wiki/Q7512811","display_name":"Signature (topology)","level":2,"score":0.6843155026435852},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5217405557632446},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.4644584357738495},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45703116059303284},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43912553787231445},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.4255935847759247},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41304680705070496},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29082387685775757},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1491645872592926},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14344587922096252},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/siu.2017.7960324","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2017.7960324","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 25th Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1600877088","https://openalex.org/W2067782748","https://openalex.org/W2117477212","https://openalex.org/W2118996198","https://openalex.org/W2122189253","https://openalex.org/W2169939759","https://openalex.org/W2261000316","https://openalex.org/W6677508755"],"related_works":["https://openalex.org/W2738168532","https://openalex.org/W4367471608","https://openalex.org/W2037328426","https://openalex.org/W2054439167","https://openalex.org/W2889956472","https://openalex.org/W2012636591","https://openalex.org/W2044594927","https://openalex.org/W2077950840","https://openalex.org/W2791078257","https://openalex.org/W2539574252"],"abstract_inverted_index":{"In":[0],"this":[1],"study,":[2],"the":[3,37,41,54,101,105,108,113],"effect":[4],"of":[5,9,30,48,50,107,115],"utilizing":[6],"different":[7],"type":[8],"signatures":[10,29,49,58],"on":[11,17,53,94],"plant":[12,38,42,116],"detection":[13,61,109],"success":[14],"is":[15,84,110],"evaluated":[16],"hyperspectral":[18,65],"aerial":[19,55],"images.":[20,56],"Plant":[21],"regions":[22],"are":[23,62,91],"tried":[24],"to":[25,36,71,86],"detect":[26],"using":[27,93],"spectral":[28],"leaf,":[31],"stem":[32],"and":[33,40,78],"tassel":[34],"belonging":[35],"separately":[39],"representative":[43,117],"signature":[44],"created":[45],"by":[46],"averaging":[47],"selected":[51],"region":[52],"The":[57,74],"used":[59,85],"for":[60],"generated":[63],"from":[64,68],"images":[66],"taken":[67],"10m":[69],"distance":[70],"target":[72,87],"plant.":[73],"Spectral":[75],"Angle":[76],"Mapper(SAM)":[77],"Generalized":[79],"Likelihood":[80],"Ratio":[81],"Test(GLRT)":[82],"algorithms":[83],"detection.":[88],"Performance":[89],"evaluation":[90],"made":[92],"Receiver":[95],"Operating":[96],"Characteristic":[97],"(ROC)":[98],"curves.":[99],"When":[100],"results":[102],"were":[103],"evaluated,":[104],"performance":[106],"higher":[111],"with":[112],"use":[114],"signature.":[118]},"counts_by_year":[{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
