{"id":"https://openalex.org/W2983522036","doi":"https://doi.org/10.1109/igarss.2019.8897907","title":"Classification of Forest Vegetation Type Using Fused NDVI Time Series Data Based on STNLFFM","display_name":"Classification of Forest Vegetation Type Using Fused NDVI Time Series Data Based on STNLFFM","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2983522036","doi":"https://doi.org/10.1109/igarss.2019.8897907","mag":"2983522036"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2019.8897907","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8897907","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","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/A5100430890","display_name":"Jialin Wang","orcid":"https://orcid.org/0000-0001-5985-9061"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jialin Wang","raw_affiliation_strings":["The State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111612402","display_name":"Xiaobin Cai","orcid":"https://orcid.org/0000-0002-9607-8472"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210105990","display_name":"Institute of Geodesy and Geophysics","ror":"https://ror.org/01gkn6j11","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210105990"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaobin Cai","raw_affiliation_strings":["The Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan, China","institution_ids":["https://openalex.org/I4210105990","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109355179","display_name":"Xiaoling Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoling Chen","raw_affiliation_strings":["The State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100393427","display_name":"Zhan Zhang","orcid":"https://orcid.org/0000-0002-9685-5753"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhan Zhang","raw_affiliation_strings":["The State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015019471","display_name":"Linling Tang","orcid":"https://orcid.org/0000-0003-4505-6684"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"LinLing Tang","raw_affiliation_strings":["The State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9988999962806702,"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":0.9988999962806702,"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":0.998199999332428,"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"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9803000092506409,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/normalized-difference-vegetation-index","display_name":"Normalized Difference Vegetation Index","score":0.6553555727005005},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6526499390602112},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.6158360242843628},{"id":"https://openalex.org/keywords/forest-inventory","display_name":"Forest inventory","score":0.6097045540809631},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.46182921528816223},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.42052406072616577},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.36087873578071594},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.36057281494140625},{"id":"https://openalex.org/keywords/forestry","display_name":"Forestry","score":0.32761117815971375},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.32300668954849243},{"id":"https://openalex.org/keywords/forest-management","display_name":"Forest management","score":0.2891131043434143},{"id":"https://openalex.org/keywords/climate-change","display_name":"Climate change","score":0.15783357620239258},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14855262637138367},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.10850900411605835},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.10395726561546326}],"concepts":[{"id":"https://openalex.org/C1549246","wikidata":"https://www.wikidata.org/wiki/Q718775","display_name":"Normalized Difference Vegetation Index","level":3,"score":0.6553555727005005},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6526499390602112},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.6158360242843628},{"id":"https://openalex.org/C147103442","wikidata":"https://www.wikidata.org/wiki/Q1423188","display_name":"Forest inventory","level":3,"score":0.6097045540809631},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.46182921528816223},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.42052406072616577},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.36087873578071594},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.36057281494140625},{"id":"https://openalex.org/C97137747","wikidata":"https://www.wikidata.org/wiki/Q38112","display_name":"Forestry","level":1,"score":0.32761117815971375},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.32300668954849243},{"id":"https://openalex.org/C28631016","wikidata":"https://www.wikidata.org/wiki/Q372561","display_name":"Forest management","level":2,"score":0.2891131043434143},{"id":"https://openalex.org/C132651083","wikidata":"https://www.wikidata.org/wiki/Q7942","display_name":"Climate change","level":2,"score":0.15783357620239258},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14855262637138367},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.10850900411605835},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.10395726561546326},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","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/igarss.2019.8897907","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8897907","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6000000238418579,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1981698175","https://openalex.org/W2061929982","https://openalex.org/W2088603520","https://openalex.org/W2138751033","https://openalex.org/W2151388232","https://openalex.org/W2167250466","https://openalex.org/W2221744192","https://openalex.org/W2387226759","https://openalex.org/W2552447511","https://openalex.org/W2885696803","https://openalex.org/W3102533665"],"related_works":["https://openalex.org/W3207046288","https://openalex.org/W3023446922","https://openalex.org/W4324030030","https://openalex.org/W1980260791","https://openalex.org/W4385533602","https://openalex.org/W3189212133","https://openalex.org/W4382239404","https://openalex.org/W2053086167","https://openalex.org/W4382519838","https://openalex.org/W2803445926"],"abstract_inverted_index":{"Forest":[0],"resources":[1],"play":[2],"an":[3],"important":[4],"ecological":[5],"role":[6],"on":[7,120],"the":[8,31,81,87,94,102,128],"earth.":[9],"The":[10,97],"traditional":[11],"forest":[12,32,46,70,82,90],"resource":[13],"inventory":[14,91],"methods":[15],"are":[16,109,143],"grueling":[17],"and":[18,56,66,77,122],"time-consuming.":[19],"It":[20,125],"is":[21,138],"insufficient":[22],"by":[23,73,93],"using":[24],"single-date":[25],"remote":[26],"sensing":[27],"data":[28,59,92,132],"to":[29,62],"identify":[30],"vegetation":[33],"types.":[34],"Fortunately,":[35],"multitemporal":[36],"images":[37],"have":[38],"advantages":[39],"of":[40,89,105,114],"seasonal":[41],"variation":[42],"pattern":[43],"in":[44],"different":[45,146],"vegetation.":[47],"Duchang":[48],"County":[49],"as":[50],"a":[51],"study":[52],"case,":[53],"GF-1,":[54],"Landsat8":[55,121],"MODIS":[57,123],"NDVI":[58],"were":[60,84],"fused":[61],"obtain":[63],"enough":[64],"spatial":[65,136],"temporal":[67,131],"resolution":[68,137],"for":[69],"types":[71,83],"distinguished":[72],"utilizing":[74],"STNLFFM":[75],"model":[76],"Savitzky-Golay":[78],"filter.":[79],"Then,":[80],"classified":[85],"with":[86,134],"aid":[88],"SVM":[95],"method.":[96],"classification":[98],"results":[99],"showed":[100],"that":[101,113,127],"overall":[103],"accuracy":[104],"twice":[106],"confusion":[107],"(82%)":[108],"significantly":[110],"better":[111],"than":[112],"single":[115],"fusion":[116],"(72%)":[117],"only":[118],"based":[119],"data.":[124],"proved":[126],"more":[129],"complete":[130],"series":[133],"higher":[135],"very":[139],"vital":[140],"even":[141],"they":[142],"derived":[144],"from":[145],"sensors.":[147]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
