{"id":"https://openalex.org/W2732842028","doi":"https://doi.org/10.1109/siu.2017.7960387","title":"A new derivative-based approach for hyperspectral classification","display_name":"A new derivative-based approach for hyperspectral classification","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2732842028","doi":"https://doi.org/10.1109/siu.2017.7960387","mag":"2732842028"},"language":"en","primary_location":{"id":"doi:10.1109/siu.2017.7960387","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2017.7960387","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/A5031641963","display_name":"Y\u00fccel \u00c7imtay","orcid":"https://orcid.org/0000-0003-2980-9228"},"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":"Yucel Cimtay","raw_affiliation_strings":["HAVELSAN, Bilgi ve G\u00fcvenlik Teknolojileri, Ankara, T\u00fcrkiye"],"affiliations":[{"raw_affiliation_string":"HAVELSAN, Bilgi ve G\u00fcvenlik Teknolojileri, 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":["HAVELSAN, Bilgi ve G\u00fcvenlik Teknolojileri, Ankara, T\u00fcrkiye"],"affiliations":[{"raw_affiliation_string":"HAVELSAN, Bilgi ve G\u00fcvenlik Teknolojileri, Ankara, T\u00fcrkiye","institution_ids":["https://openalex.org/I56303344"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018593379","display_name":"Hakk\u0131 G\u00f6khan \u0130lk","orcid":"https://orcid.org/0000-0003-4365-8286"},"institutions":[{"id":"https://openalex.org/I149218525","display_name":"Ankara University","ror":"https://ror.org/01wntqw50","country_code":"TR","type":"education","lineage":["https://openalex.org/I149218525"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Hakki Gokhan Ilk","raw_affiliation_strings":["Elektrik Elektronik M\u00fchendisli\u011fi, Ankara \u00dcniversitesi, Ankara, T\u00fcrkiye"],"affiliations":[{"raw_affiliation_string":"Elektrik Elektronik M\u00fchendisli\u011fi, Ankara \u00dcniversitesi, Ankara, T\u00fcrkiye","institution_ids":["https://openalex.org/I149218525"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5031641963"],"corresponding_institution_ids":["https://openalex.org/I56303344"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12088939,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"48","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":0.9962999820709229,"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":0.9962999820709229,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9923999905586243,"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":0.945715606212616},{"id":"https://openalex.org/keywords/reflectivity","display_name":"Reflectivity","score":0.6412203311920166},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6169443726539612},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5741459727287292},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5337373614311218},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5288021564483643},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5221610069274902},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.4984612464904785},{"id":"https://openalex.org/keywords/full-spectral-imaging","display_name":"Full spectral imaging","score":0.43430501222610474},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.42729124426841736},{"id":"https://openalex.org/keywords/cover","display_name":"Cover (algebra)","score":0.42413967847824097},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3693315386772156},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15974614024162292},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.152530699968338},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.14242443442344666},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08778029680252075}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.945715606212616},{"id":"https://openalex.org/C108597893","wikidata":"https://www.wikidata.org/wiki/Q663650","display_name":"Reflectivity","level":2,"score":0.6412203311920166},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6169443726539612},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5741459727287292},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5337373614311218},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5288021564483643},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5221610069274902},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.4984612464904785},{"id":"https://openalex.org/C78660771","wikidata":"https://www.wikidata.org/wiki/Q5508206","display_name":"Full spectral imaging","level":3,"score":0.43430501222610474},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.42729124426841736},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.42413967847824097},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3693315386772156},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15974614024162292},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.152530699968338},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.14242443442344666},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08778029680252075},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/siu.2017.7960387","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2017.7960387","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":0.47999998927116394,"display_name":"Responsible consumption and production","id":"https://metadata.un.org/sdg/12"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1969177710","https://openalex.org/W1987097445","https://openalex.org/W2023218017","https://openalex.org/W2045360958","https://openalex.org/W2046678936","https://openalex.org/W2149767701","https://openalex.org/W2602510268"],"related_works":["https://openalex.org/W2911259277","https://openalex.org/W4386427838","https://openalex.org/W2800956885","https://openalex.org/W2533019003","https://openalex.org/W2057283258","https://openalex.org/W4377941809","https://openalex.org/W2626158795","https://openalex.org/W1788560349","https://openalex.org/W2391021239","https://openalex.org/W2095129185"],"abstract_inverted_index":{"In":[0,16,60],"hyperspectral":[1,107],"classification,":[2],"derivative":[3,99],"of":[4,40,64,66,115,127],"reflectance":[5,14,33],"spectra":[6,34],"is":[7,21,74,100,104,143],"used":[8],"directly":[9],"or":[10],"by":[11],"fusion":[12],"with":[13],"spectra.":[15],"this":[17,88],"way,":[18],"classification":[19,51,65,148],"performance":[20],"improved.":[22],"However,":[23],"on":[24,56,97],"the":[25,32,62,67,116,124,137,146],"land":[26,138],"cover,":[27],"especially":[28],"for":[29,106,120],"plant":[30,41,44],"species,":[31],"may":[35],"exhibit":[36],"differences":[37],"in":[38,87,123],"course":[39],"age":[42],"and":[43,83,92,118,141],"maturity":[45],"level.":[46],"This":[47],"situation":[48],"makes":[49],"traditional":[50],"methods":[52],"which":[53,69,109],"are":[54,110],"based":[55,96],"spectral":[57,72,84,98],"similarity":[58,85],"time-dependent.":[59],"addition,":[61],"problem":[63],"species":[68],"have":[70],"similar":[71],"properties":[73],"still":[75],"valid.":[76],"As":[77],"a":[78,90],"solution":[79],"to":[80,145],"time":[81,114],"dependency":[82],"problems,":[86],"study,":[89],"new":[91],"more":[93],"generic":[94],"method":[95,103,134],"proposed.":[101],"The":[102],"tested":[105],"images":[108],"captured":[111],"at":[112],"different":[113,121],"year":[117],"also":[119],"places,":[122],"life":[125],"cycle":[126],"species.":[128],"Test":[129],"results":[130],"show":[131],"that":[132],"proposed":[133],"succesfully":[135],"classifies":[136],"cover":[139],"time-independent":[140],"it":[142],"superior":[144],"classical":[147],"methods.":[149]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
