{"id":"https://openalex.org/W2006983504","doi":"https://doi.org/10.1109/jstars.2015.2409131","title":"Discrimination of Vegetation Height Categories With Passive Satellite Sensor Imagery Using Texture Analysis","display_name":"Discrimination of Vegetation Height Categories With Passive Satellite Sensor Imagery Using Texture Analysis","publication_year":2015,"publication_date":"2015-03-18","ids":{"openalex":"https://openalex.org/W2006983504","doi":"https://doi.org/10.1109/jstars.2015.2409131","mag":"2006983504"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2015.2409131","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2015.2409131","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://www.cnr.it/prodotto/i/402011","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049269256","display_name":"Zisis I. Petrou","orcid":null},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Zisis I. Petrou","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Imperial College London, London, U.K","Dept of Electrical and Electronic Engineering, Imperial College London, London, U.K"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Imperial College London, London, U.K","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Dept of Electrical and Electronic Engineering, Imperial College London, London, U.K","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032502649","display_name":"Ioannis Manakos","orcid":"https://orcid.org/0000-0001-6833-294X"},"institutions":[{"id":"https://openalex.org/I107613613","display_name":"Information Technology Institute","ror":"https://ror.org/04ynw2g14","country_code":"EG","type":"facility","lineage":["https://openalex.org/I107613613"]},{"id":"https://openalex.org/I4210134249","display_name":"Centre for Research and Technology Hellas","ror":"https://ror.org/03bndpq63","country_code":"GR","type":"facility","lineage":["https://openalex.org/I4210134249"]},{"id":"https://openalex.org/I4210093649","display_name":"Information Technologies Institute","ror":"https://ror.org/0069akp70","country_code":"GR","type":"nonprofit","lineage":["https://openalex.org/I4210093649"]}],"countries":["EG","GR"],"is_corresponding":false,"raw_author_name":"Ioannis Manakos","raw_affiliation_strings":["Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece","Information Technologies Institute, Centre for Research and Technology, Hellas, Thessaloniki, Greece#TAB#"],"affiliations":[{"raw_affiliation_string":"Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece","institution_ids":["https://openalex.org/I4210093649","https://openalex.org/I4210134249"]},{"raw_affiliation_string":"Information Technologies Institute, Centre for Research and Technology, Hellas, Thessaloniki, Greece#TAB#","institution_ids":["https://openalex.org/I107613613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028031376","display_name":"Tania Stathaki","orcid":null},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Tania Stathaki","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Imperial College London, London, U.K","Dept of Electrical and Electronic Engineering, Imperial College London, London, U.K"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Imperial College London, London, U.K","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Dept of Electrical and Electronic Engineering, Imperial College London, London, U.K","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078341624","display_name":"C.A. M\u00fccher","orcid":"https://orcid.org/0000-0002-7997-8356"},"institutions":[{"id":"https://openalex.org/I913481162","display_name":"Wageningen University & Research","ror":"https://ror.org/04qw24q55","country_code":"NL","type":"education","lineage":["https://openalex.org/I913481162"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Caspar A. Mucher","raw_affiliation_strings":["Alterra Wageningen UR, Wageningen, AA, The Netherlands",", Alterra Wageningen UR, Wageningen, AA, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Alterra Wageningen UR, Wageningen, AA, The Netherlands","institution_ids":["https://openalex.org/I913481162"]},{"raw_affiliation_string":", Alterra Wageningen UR, Wageningen, AA, The Netherlands","institution_ids":["https://openalex.org/I913481162"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019264761","display_name":"Maria Adamo","orcid":"https://orcid.org/0000-0003-3030-4884"},"institutions":[{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"funder","lineage":["https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I4210146308","display_name":"Institute of Intelligent Systems for Automation","ror":"https://ror.org/051t1q308","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210146308","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Maria Adamo","raw_affiliation_strings":["Institute of Intelligent Systems for Automation, National Research Council (CNR-ISSIA), Bari, Italy","Institute of Intelligent Systems for Automation, National Research Council, CNR-ISSIA, Bari, Italy"],"affiliations":[{"raw_affiliation_string":"Institute of Intelligent Systems for Automation, National Research Council (CNR-ISSIA), Bari, Italy","institution_ids":["https://openalex.org/I4210155236","https://openalex.org/I4210146308"]},{"raw_affiliation_string":"Institute of Intelligent Systems for Automation, National Research Council, CNR-ISSIA, Bari, Italy","institution_ids":["https://openalex.org/I4210155236","https://openalex.org/I4210146308"]}]}],"institutions":[],"countries_distinct_count":5,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5049269256"],"corresponding_institution_ids":["https://openalex.org/I47508984"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":null,"fwci":1.6344,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.82516613,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"8","issue":"4","first_page":"1442","last_page":"1455"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9991999864578247,"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/T10226","display_name":"Land Use and Ecosystem Services","score":0.9861000180244446,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.5904902815818787},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5867869257926941},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5100288987159729},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.5045062303543091},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4687899053096771},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.46824681758880615},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4610637128353119},{"id":"https://openalex.org/keywords/normalized-difference-vegetation-index","display_name":"Normalized Difference Vegetation Index","score":0.4432683289051056},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.43453627824783325},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4229733347892761},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.41004806756973267},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.15395912528038025},{"id":"https://openalex.org/keywords/leaf-area-index","display_name":"Leaf area index","score":0.15215852856636047}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5904902815818787},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5867869257926941},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5100288987159729},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.5045062303543091},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4687899053096771},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.46824681758880615},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4610637128353119},{"id":"https://openalex.org/C1549246","wikidata":"https://www.wikidata.org/wiki/Q718775","display_name":"Normalized Difference Vegetation Index","level":3,"score":0.4432683289051056},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.43453627824783325},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4229733347892761},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.41004806756973267},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.15395912528038025},{"id":"https://openalex.org/C25989453","wikidata":"https://www.wikidata.org/wiki/Q446746","display_name":"Leaf area index","level":2,"score":0.15215852856636047},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/jstars.2015.2409131","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2015.2409131","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:it.cnr:prodotti:402011","is_oa":true,"landing_page_url":"http://www.cnr.it/prodotto/i/402011","pdf_url":null,"source":{"id":"https://openalex.org/S7407055101","display_name":"CNR ExploRA","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"info:cnr-pdr/source/autori:Petrou Z.I.; Manakos I.; Stathaki T.; Mucher C.A.; Adamo M./titolo:Discrimination of Vegetation Height Categories With Passive Satellite Sensor Imagery Using Texture Analysis/doi:10.1109%2FJSTARS.2015.2409131/rivista:IEEE journal of selected topics in applied earth observations and remote sensing (Print)/anno:2015/pagina_da:1442/pagina_a:1455/intervallo_pagine:1442\u20131455/volume:8","raw_type":"Articolo in rivista"},{"id":"pmh:wur:oai:library.wur.nl:wurpubs/501858","is_oa":false,"landing_page_url":"https://research.wur.nl/en/publications/discrimination-of-vegetation-height-categories-with-passive-satel","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8(4), 1442 - 1455","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:it.cnr:prodotti:402011","is_oa":true,"landing_page_url":"http://www.cnr.it/prodotto/i/402011","pdf_url":null,"source":{"id":"https://openalex.org/S7407055101","display_name":"CNR ExploRA","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"info:cnr-pdr/source/autori:Petrou Z.I.; Manakos I.; Stathaki T.; Mucher C.A.; Adamo M./titolo:Discrimination of Vegetation Height Categories With Passive Satellite Sensor Imagery Using Texture Analysis/doi:10.1109%2FJSTARS.2015.2409131/rivista:IEEE journal of selected topics in applied earth observations and remote sensing (Print)/anno:2015/pagina_da:1442/pagina_a:1455/intervallo_pagine:1442\u20131455/volume:8","raw_type":"Articolo in rivista"},"sustainable_development_goals":[{"score":0.5299999713897705,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G6897818092","display_name":null,"funder_award_id":"SPA. 2010.1.1-04","funder_id":"https://openalex.org/F4320334960","funder_display_name":"Seventh Framework Programme"},{"id":"https://openalex.org/G8796945004","display_name":null,"funder_award_id":"FP7/2007-2013","funder_id":"https://openalex.org/F4320334960","funder_display_name":"Seventh Framework Programme"}],"funders":[{"id":"https://openalex.org/F4320334960","display_name":"Seventh Framework Programme","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":109,"referenced_works":["https://openalex.org/W80011902","https://openalex.org/W187357405","https://openalex.org/W994866182","https://openalex.org/W1495061682","https://openalex.org/W1504694836","https://openalex.org/W1512098439","https://openalex.org/W1558642996","https://openalex.org/W1570448133","https://openalex.org/W1608549042","https://openalex.org/W1680392829","https://openalex.org/W1822348759","https://openalex.org/W1964656717","https://openalex.org/W1972113807","https://openalex.org/W1978239142","https://openalex.org/W1980403882","https://openalex.org/W1986504269","https://openalex.org/W1990653740","https://openalex.org/W1991673775","https://openalex.org/W1991691127","https://openalex.org/W1992541517","https://openalex.org/W1994809198","https://openalex.org/W1995875735","https://openalex.org/W2001141328","https://openalex.org/W2008415990","https://openalex.org/W2009235968","https://openalex.org/W2010290110","https://openalex.org/W2014915963","https://openalex.org/W2014944622","https://openalex.org/W2017337590","https://openalex.org/W2019575783","https://openalex.org/W2021793377","https://openalex.org/W2043602373","https://openalex.org/W2043871384","https://openalex.org/W2044366455","https://openalex.org/W2044541332","https://openalex.org/W2051478166","https://openalex.org/W2053154970","https://openalex.org/W2056610939","https://openalex.org/W2063175836","https://openalex.org/W2067086051","https://openalex.org/W2078099285","https://openalex.org/W2079200854","https://openalex.org/W2081300648","https://openalex.org/W2091280333","https://openalex.org/W2096081771","https://openalex.org/W2096763839","https://openalex.org/W2096849238","https://openalex.org/W2097993678","https://openalex.org/W2098805041","https://openalex.org/W2099598706","https://openalex.org/W2099705211","https://openalex.org/W2100358124","https://openalex.org/W2100524057","https://openalex.org/W2103250033","https://openalex.org/W2104252070","https://openalex.org/W2105124269","https://openalex.org/W2105247492","https://openalex.org/W2105339792","https://openalex.org/W2108771091","https://openalex.org/W2112076978","https://openalex.org/W2116674621","https://openalex.org/W2116965519","https://openalex.org/W2117672932","https://openalex.org/W2122053769","https://openalex.org/W2123038009","https://openalex.org/W2124706543","https://openalex.org/W2125055259","https://openalex.org/W2129401492","https://openalex.org/W2130111708","https://openalex.org/W2131081720","https://openalex.org/W2132075764","https://openalex.org/W2134346724","https://openalex.org/W2134857847","https://openalex.org/W2140674048","https://openalex.org/W2145717442","https://openalex.org/W2146780613","https://openalex.org/W2147597050","https://openalex.org/W2150610845","https://openalex.org/W2150981623","https://openalex.org/W2152918725","https://openalex.org/W2154536501","https://openalex.org/W2154905357","https://openalex.org/W2156267802","https://openalex.org/W2161073299","https://openalex.org/W2161548576","https://openalex.org/W2161746820","https://openalex.org/W2162313689","https://openalex.org/W2164777277","https://openalex.org/W2165499775","https://openalex.org/W2165796970","https://openalex.org/W2167468363","https://openalex.org/W2319794630","https://openalex.org/W2326945647","https://openalex.org/W2748633918","https://openalex.org/W2755454812","https://openalex.org/W2911964244","https://openalex.org/W2993383518","https://openalex.org/W3014167296","https://openalex.org/W4212883601","https://openalex.org/W4231620004","https://openalex.org/W4300528607","https://openalex.org/W4301808003","https://openalex.org/W6603280539","https://openalex.org/W6629652716","https://openalex.org/W6636336243","https://openalex.org/W6637386731","https://openalex.org/W6675955514","https://openalex.org/W6676769703","https://openalex.org/W6775795280"],"related_works":["https://openalex.org/W4319317934","https://openalex.org/W2901265155","https://openalex.org/W2956374172","https://openalex.org/W4319837668","https://openalex.org/W4308071650","https://openalex.org/W3188333020","https://openalex.org/W4281783339","https://openalex.org/W1964041166","https://openalex.org/W4390887692","https://openalex.org/W4221065211"],"abstract_inverted_index":{"Vegetation":[0,180],"height":[1,37,78,181,193,228],"is":[2,92,124,143],"a":[3,33,44,74,212,239],"crucial":[4],"factor":[5],"in":[6,69,73,94,166,201,227],"environmental":[7],"studies,":[8],"landscape":[9],"analysis,":[10],"and":[11,19,26,64,100,111,131,135,156,173,223,245],"mapping":[12,83],"applications.":[13],"Its":[14,122],"estimation":[15,229],"may":[16],"prove":[17],"cost":[18],"resource":[20,246],"demanding,":[21],"e.g.,":[22],"employing":[23],"light":[24],"detection":[25],"ranging":[27],"(LiDAR)":[28],"data.":[29],"This":[30],"study":[31],"presents":[32],"cost-effective":[34,240],"framework":[35],"for":[36,81,191],"estimation,":[38],"built":[39],"around":[40],"texture":[41,55],"analysis":[42],"of":[43,54,77,105,176,188,220,242],"single":[45,130],"very":[46],"high-resolution":[47],"passive":[48],"satellite":[49],"sensor":[50],"image.":[51],"A":[52,103],"number":[53,104],"features":[56],"are":[57,115],"proposed,":[58],"based":[59],"on":[60],"local":[61],"variance,":[62],"entropy,":[63],"binary":[65],"patterns.":[66],"Their":[67],"potential":[68],"discriminating":[70],"among":[71],"classes":[72],"wide":[75],"range":[76],"values":[79],"used":[80],"habitat":[82],"(from":[84],"less":[85],"than":[86],"5":[87],"cm":[88],"to":[89,117,145],"40":[90],"m)":[91],"tested":[93,125,165],"an":[95],"area":[96],"with":[97,126,210],"heath,":[98],"tree,":[99],"shrub":[101],"vegetation.":[102],"missing":[106],"data":[107,112,154],"handling,":[108],"outlier":[109],"removal,":[110],"normalization":[113],"methods":[114],"evaluated":[116],"enhance":[118],"the":[119,146,171,174,177,196,217,221],"proposed":[120,162],"framework.":[121],"performance":[123],"different":[127],"classifiers,":[128],"including":[129],"ensemble":[132],"tree":[133],"ones":[134],"support":[136],"vector":[137],"machines.":[138],"Furthermore,":[139],"dimensionality":[140],"reduction":[141],"(DR)":[142],"applied":[144],"full":[147],"feature":[148,158,214],"set":[149],"(192":[150],"features),":[151],"through":[152],"both":[153],"transformation":[155],"filter":[157],"selection":[159],"methods.":[160],"The":[161],"approach":[163],"was":[164],"two":[167],"WorldView-2":[168],"images,":[169],"representing":[170],"peak":[172],"decline":[175],"vegetative":[178],"period.":[179],"categories":[182],"were":[183],"accurately":[184],"distinguished,":[185],"reaching":[186],"accuracies":[187,209],"over":[189],"90%":[190],"six":[192],"classes,":[194],"using":[195],"images":[197],"either":[198],"individually":[199],"or":[200,207],"synergy.":[202],"DR":[203],"achieved":[204],"similarly":[205],"high,":[206],"higher,":[208],"even":[211],"3%":[213],"subset,":[215],"increasing":[216],"processing":[218],"efficiency":[219],"framework,":[222],"favoring":[224],"its":[225],"use":[226],"applications":[230],"not":[231],"requiring":[232],"particularly":[233],"high":[234],"spatial":[235],"resolution":[236],"data,":[237],"as":[238],"surrogate":[241],"more":[243],"expensive":[244],"demanding":[247],"approaches.":[248]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}
