{"id":"https://openalex.org/W1600237755","doi":"https://doi.org/10.1007/3-540-44692-3_27","title":"Improved Recognition of Spectrally Mixed Land Cover Classes Using Spatial Textures and Voting Classifications","display_name":"Improved Recognition of Spectrally Mixed Land Cover Classes Using Spatial Textures and Voting Classifications","publication_year":2001,"publication_date":"2001-01-01","ids":{"openalex":"https://openalex.org/W1600237755","doi":"https://doi.org/10.1007/3-540-44692-3_27","mag":"1600237755"},"language":"en","primary_location":{"id":"doi:10.1007/3-540-44692-3_27","is_oa":false,"landing_page_url":"https://doi.org/10.1007/3-540-44692-3_27","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"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/A5047379149","display_name":"Jonathan Cheung-Wai Chan","orcid":"https://orcid.org/0000-0002-3741-1124"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jonathan C.W. Chan","raw_affiliation_strings":["Laboratory for Global Remote Sensing Studies Geography Department, University of Maryland, College Park, MD, 20742, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory for Global Remote Sensing Studies Geography Department, University of Maryland, College Park, MD, 20742, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079129520","display_name":"Ruth DeFries","orcid":"https://orcid.org/0000-0002-3332-4621"},"institutions":[{"id":"https://openalex.org/I4210144776","display_name":"Earth System Science Interdisciplinary Center","ror":"https://ror.org/042607708","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210144776","https://openalex.org/I66946132"]},{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ruth S. DeFries","raw_affiliation_strings":["Earth System Interdisciplinary Science Center and Geography Department, University of Maryland, College Park, MD, 20742, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Earth System Interdisciplinary Science Center and Geography Department, University of Maryland, College Park, MD, 20742, USA","institution_ids":["https://openalex.org/I4210144776","https://openalex.org/I66946132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111747827","display_name":"John Townshend","orcid":null},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John R. G. Townshend","raw_affiliation_strings":["Laboratory for Global Remote Sensing Studies Geography Department, University of Maryland, College Park, MD, 20742, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory for Global Remote Sensing Studies Geography Department, University of Maryland, College Park, MD, 20742, USA","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":6.1543,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.93875502,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"217","last_page":"227"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9952999949455261,"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":0.9952999949455261,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9952999949455261,"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/T10226","display_name":"Land Use and Ecosystem Services","score":0.9886000156402588,"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/learning-vector-quantization","display_name":"Learning vector quantization","score":0.7826197147369385},{"id":"https://openalex.org/keywords/voting","display_name":"Voting","score":0.741492509841919},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6871053576469421},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.6191256642341614},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5809785723686218},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5685938596725464},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5323140025138855},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5004537105560303},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.4560913145542145},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44519761204719543},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.42796745896339417},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32111355662345886}],"concepts":[{"id":"https://openalex.org/C40567965","wikidata":"https://www.wikidata.org/wiki/Q1820283","display_name":"Learning vector quantization","level":3,"score":0.7826197147369385},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.741492509841919},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6871053576469421},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.6191256642341614},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5809785723686218},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5685938596725464},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5323140025138855},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5004537105560303},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.4560913145542145},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44519761204719543},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.42796745896339417},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32111355662345886},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/3-540-44692-3_27","is_oa":false,"landing_page_url":"https://doi.org/10.1007/3-540-44692-3_27","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1507034068","https://openalex.org/W1679913846","https://openalex.org/W1840338487","https://openalex.org/W1850527962","https://openalex.org/W1905709030","https://openalex.org/W1966280301","https://openalex.org/W1985955745","https://openalex.org/W2043436866","https://openalex.org/W2048092349","https://openalex.org/W2059432853","https://openalex.org/W2060129242","https://openalex.org/W2087375739","https://openalex.org/W2089958921","https://openalex.org/W2104217260","https://openalex.org/W2112076978","https://openalex.org/W2112106107","https://openalex.org/W2120959311","https://openalex.org/W2125055259","https://openalex.org/W2129433145","https://openalex.org/W2134555790","https://openalex.org/W2138745909","https://openalex.org/W2140950054","https://openalex.org/W2147868699","https://openalex.org/W2152761983","https://openalex.org/W2154823510","https://openalex.org/W2336099710","https://openalex.org/W2912934387","https://openalex.org/W3023537567","https://openalex.org/W4213332169","https://openalex.org/W6610020937"],"related_works":["https://openalex.org/W2100968651","https://openalex.org/W4243803532","https://openalex.org/W2142248489","https://openalex.org/W2352648934","https://openalex.org/W4230688072","https://openalex.org/W1915693853","https://openalex.org/W1530525041","https://openalex.org/W2378212145","https://openalex.org/W2798892016","https://openalex.org/W2202992072"],"abstract_inverted_index":null,"counts_by_year":[{"year":2014,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
