{"id":"https://openalex.org/W2137457157","doi":"https://doi.org/10.1109/whispers.2009.5289107","title":"Evaluation of oak wilt index based on genetic programming","display_name":"Evaluation of oak wilt index based on genetic programming","publication_year":2009,"publication_date":"2009-08-01","ids":{"openalex":"https://openalex.org/W2137457157","doi":"https://doi.org/10.1109/whispers.2009.5289107","mag":"2137457157"},"language":"en","primary_location":{"id":"doi:10.1109/whispers.2009.5289107","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2009.5289107","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/A5091741217","display_name":"Kuniaki Uto","orcid":"https://orcid.org/0000-0001-9301-2462"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"K. Uto","raw_affiliation_strings":["Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology, Japan","Tokyo Institute of Technology, Interdisciplinary Graduate School of Science and Engineering, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology, Japan","institution_ids":["https://openalex.org/I114531698"]},{"raw_affiliation_string":"Tokyo Institute of Technology, Interdisciplinary Graduate School of Science and Engineering, Japan","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035998096","display_name":"Yoshiko Kosugi","orcid":"https://orcid.org/0000-0002-0256-8404"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Y. Kosugi","raw_affiliation_strings":["Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology, Japan","Tokyo Institute of Technology, Interdisciplinary Graduate School of Science and Engineering, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology, Japan","institution_ids":["https://openalex.org/I114531698"]},{"raw_affiliation_string":"Tokyo Institute of Technology, Interdisciplinary Graduate School of Science and Engineering, Japan","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102854188","display_name":"Takashi Ogata","orcid":"https://orcid.org/0000-0002-6453-6408"},"institutions":[{"id":"https://openalex.org/I4210121645","display_name":"Yamagata Prefectural Police","ror":"https://ror.org/02ppzn363","country_code":"JP","type":"government","lineage":["https://openalex.org/I4210121645"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"T. Ogata","raw_affiliation_strings":["Yamagata Prefectural Government, Shonai branch, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yamagata Prefectural Government, Shonai branch, Japan","institution_ids":["https://openalex.org/I4210121645"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.21740907,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9984999895095825,"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"}},"topics":[{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9984999895095825,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9775999784469604,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9731000065803528,"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":0.7893520593643188},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6712961196899414},{"id":"https://openalex.org/keywords/genetic-programming","display_name":"Genetic programming","score":0.6302970051765442},{"id":"https://openalex.org/keywords/java","display_name":"Java","score":0.5276359915733337},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.5156996846199036},{"id":"https://openalex.org/keywords/binary-tree","display_name":"Binary tree","score":0.4925592541694641},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.47848671674728394},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.45691993832588196},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4408940076828003},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4079984724521637},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39279165863990784},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36241501569747925},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24297523498535156},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.16195154190063477},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.07562100887298584}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7893520593643188},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6712961196899414},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.6302970051765442},{"id":"https://openalex.org/C548217200","wikidata":"https://www.wikidata.org/wiki/Q251","display_name":"Java","level":2,"score":0.5276359915733337},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.5156996846199036},{"id":"https://openalex.org/C197855036","wikidata":"https://www.wikidata.org/wiki/Q380172","display_name":"Binary tree","level":2,"score":0.4925592541694641},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.47848671674728394},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.45691993832588196},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4408940076828003},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4079984724521637},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39279165863990784},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36241501569747925},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24297523498535156},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.16195154190063477},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.07562100887298584},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/whispers.2009.5289107","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2009.5289107","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"},{"id":"pmh:oai:t2r2.star.titech.ac.jp:50289645","is_oa":false,"landing_page_url":"http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100695771","pdf_url":null,"source":{"id":"https://openalex.org/S4377196385","display_name":"Tokyo Tech Research Repository (Tokyo Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114531698","host_organization_name":"Tokyo Institute of Technology","host_organization_lineage":["https://openalex.org/I114531698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W32765699","https://openalex.org/W236968377","https://openalex.org/W1576818901","https://openalex.org/W1973792179","https://openalex.org/W1976193176","https://openalex.org/W2089074923","https://openalex.org/W2107145221","https://openalex.org/W2134201066","https://openalex.org/W2143947093","https://openalex.org/W2146422636","https://openalex.org/W2385696202","https://openalex.org/W2989983865","https://openalex.org/W6636950212","https://openalex.org/W7061977553"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2070598848","https://openalex.org/W2044184146","https://openalex.org/W4313014865","https://openalex.org/W2019190440","https://openalex.org/W2343470940"],"abstract_inverted_index":{"We":[0],"proposed":[1,101],"a":[2,48],"normalized":[3],"oak":[4,10,37],"wilt":[5,11],"index":[6],"(NWI)":[7],"to":[8],"extract":[9],"area":[12],"from":[13],"remotely":[14],"sensed":[15],"hyperspectral":[16],"image":[17],"of":[18,33,36,60,74,82,84,86,100],"forest":[19],"in":[20,72],"our":[21],"previous":[22],"work.":[23],"The":[24,56,88,97],"NWI,":[25],"which":[26],"is":[27],"designed":[28],"based":[29,103],"on":[30,104],"factitious":[31],"characterization":[32],"spectral":[34],"profiles":[35],"wilt,":[38],"realized":[39],"satisfactory":[40],"extraction":[41,64,98],"performance.":[42,112],"In":[43],"this":[44],"paper,":[45],"we":[46],"propose":[47],"genetic-programming-based":[49],"search":[50,57],"method":[51,102],"for":[52,65],"physically":[53],"interpretable":[54],"index.":[55],"procedure":[58],"consists":[59],"two":[61],"stages,":[62],"i.e.":[63],"significant":[66],"binary":[67,90,106],"operations":[68,91,107],"and":[69],"tree":[70],"construction,":[71],"expectation":[73],"dealing":[75],"with":[76,94,110],"more":[77],"subtle":[78],"problem,":[79],"e.g.":[80],"estimation":[81],"quantities":[83],"ingredients":[85],"vegetation.":[87],"selected":[89],"are":[92],"consistent":[93],"plant":[95],"physiology.":[96],"performance":[99],"fewer":[105],"stands":[108],"comparison":[109],"NWI's":[111]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}