{"id":"https://openalex.org/W2775538150","doi":"https://doi.org/10.1109/igarss.2017.8127672","title":"Estimation of fractional vegetation cover using mean-based spectral unmixing method","display_name":"Estimation of fractional vegetation cover using mean-based spectral unmixing method","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2775538150","doi":"https://doi.org/10.1109/igarss.2017.8127672","mag":"2775538150"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2017.8127672","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2017.8127672","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","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/A5022044383","display_name":"Linyuan Li","orcid":"https://orcid.org/0000-0002-8237-7076"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linyuan Li","raw_affiliation_strings":["College of Remote Sensing Science and Engineering, Beijing Normal University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Remote Sensing Science and Engineering, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107597668","display_name":"Guangjian Yan","orcid":"https://orcid.org/0000-0001-5030-748X"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangjian Yan","raw_affiliation_strings":["College of Remote Sensing Science and Engineering, Beijing Normal University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Remote Sensing Science and Engineering, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082646129","display_name":"Xihan Mu","orcid":"https://orcid.org/0000-0003-4812-3045"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xihan Mu","raw_affiliation_strings":["College of Remote Sensing Science and Engineering, Beijing Normal University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Remote Sensing Science and Engineering, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5098474094","display_name":"Suhong","orcid":null},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Suhong","raw_affiliation_strings":["College of Remote Sensing Science and Engineering, Beijing Normal University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Remote Sensing Science and Engineering, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liu","raw_affiliation_strings":["College of Remote Sensing Science and Engineering, Beijing Normal University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Remote Sensing Science and Engineering, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100333360","display_name":"Yiming Chen","orcid":"https://orcid.org/0000-0002-8121-3109"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiming Chen","raw_affiliation_strings":["College of Remote Sensing Science and Engineering, Beijing Normal University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Remote Sensing Science and Engineering, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065395111","display_name":"Kai Yan","orcid":"https://orcid.org/0000-0003-4262-1772"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Yan","raw_affiliation_strings":["College of Remote Sensing Science and Engineering, Beijing Normal University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Remote Sensing Science and Engineering, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102812508","display_name":"Jinghui Luo","orcid":"https://orcid.org/0000-0001-9621-8052"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinghui Luo","raw_affiliation_strings":["College of Remote Sensing Science and Engineering, Beijing Normal University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Remote Sensing Science and Engineering, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040574628","display_name":"Wanjuan Song","orcid":"https://orcid.org/0000-0003-3321-1499"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanjuan Song","raw_affiliation_strings":["Beijing Normal University, Beijing, Beijing, CN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Normal University, Beijing, Beijing, CN","institution_ids":["https://openalex.org/I25254941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I25254941"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3178","last_page":"3180"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9998000264167786,"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":0.9998000264167786,"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":0.996399998664856,"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":0.9919999837875366,"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/endmember","display_name":"Endmember","score":0.855139970779419},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.803722620010376},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.7585542798042297},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.640485405921936},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6312999725341797},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.6218764185905457},{"id":"https://openalex.org/keywords/standard-deviation","display_name":"Standard deviation","score":0.6156972646713257},{"id":"https://openalex.org/keywords/root-mean-square","display_name":"Root mean square","score":0.4731636643409729},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4425984025001526},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.4368179440498352},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.33243292570114136},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2587718963623047},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.25860726833343506},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23840004205703735},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0933818519115448}],"concepts":[{"id":"https://openalex.org/C58237817","wikidata":"https://www.wikidata.org/wiki/Q5376204","display_name":"Endmember","level":3,"score":0.855139970779419},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.803722620010376},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7585542798042297},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.640485405921936},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6312999725341797},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.6218764185905457},{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.6156972646713257},{"id":"https://openalex.org/C71907059","wikidata":"https://www.wikidata.org/wiki/Q223323","display_name":"Root mean square","level":2,"score":0.4731636643409729},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4425984025001526},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.4368179440498352},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.33243292570114136},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2587718963623047},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.25860726833343506},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23840004205703735},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0933818519115448},{"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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.2017.8127672","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2017.8127672","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.7200000286102295,"display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1553636081","https://openalex.org/W1930970760","https://openalex.org/W2006955178","https://openalex.org/W2471406164","https://openalex.org/W2526130632"],"related_works":["https://openalex.org/W2513075776","https://openalex.org/W2069921544","https://openalex.org/W1987874405","https://openalex.org/W3022688053","https://openalex.org/W2273189319","https://openalex.org/W10929802","https://openalex.org/W4210622043","https://openalex.org/W107293534","https://openalex.org/W2775538150","https://openalex.org/W2032108467"],"abstract_inverted_index":{"Mixed":[0],"pixels":[1,110],"have":[2],"a":[3,44,69,78,99,151,173],"significant":[4],"impact":[5],"on":[6],"the":[7,30,58,74,98,112,128,170,177,181,209],"accurate":[8],"estimation":[9],"of":[10,32,62,124,138,183,194],"Fractional":[11],"Vegetation":[12],"Cover":[13],"(FVC)":[14],"using":[15],"digital":[16,53],"photos":[17,75,113],"acquired":[18],"by":[19,135],"Unmanned":[20],"Aerial":[21],"Vehicle":[22],"(UAV).":[23],"A":[24,156],"single":[25],"threshold":[26],"is":[27],"inadequate":[28],"for":[29],"separation":[31],"vegetation":[33,63,107],"and":[34,64,108,180,208],"background":[35,65,109],"when":[36],"images":[37,203],"contain":[38],"numerous":[39],"mixed":[40,129],"pixels.":[41],"We":[42],"propose":[43],"spectral":[45,59,71],"unmixing":[46],"method":[47,166],"to":[48,104,122],"measure":[49],"FVC":[50,171,184,206],"with":[51,92,144,158,176,217],"UAV-acquired":[52],"images.":[54],"In":[55],"this":[56],"method,":[57],"mean":[60,136,196],"values":[61,137],"are":[66,102,133],"obtained":[67],"as":[68],"priori":[70,100],"knowledge":[72,101],"from":[73,97,111,120,150],"taken":[76,114],"at":[77,115],"very":[79],"low":[80],"flight":[81,117],"altitude":[82],"around":[83,190,215],"5":[84],"meters":[85,125,153],"above":[86],"ground":[87,178],"level":[88,95],"(AGL).":[89],"Two":[90],"thresholds":[91],"high":[93,116],"confidence":[94],"derived":[96],"determined":[103],"select":[105],"pure":[106,141],"altitudes":[118],"ranging":[119],"dozens":[121],"hundreds":[123],"AGL.":[126],"For":[127],"pixels,":[130],"endmember":[131],"spectra":[132],"undertook":[134],"those":[139],"two":[140],"components.":[142],"Images":[143],"different":[145],"aggregation":[146],"levels":[147],"were":[148],"generated":[149],"10":[152],"AGL":[154],"image.":[155],"comparison":[157],"four":[159],"commonly":[160],"used":[161],"methods":[162],"indicated":[163],"that":[164],"our":[165],"could":[167],"robustly":[168],"characterize":[169],"in":[172,192],"good":[174],"agreement":[175],"truth,":[179],"accuracy":[182],"estimates":[185,207],"over":[186],"corn":[187],"crops":[188],"was":[189,214],"0.01":[191,216],"terms":[193],"root":[195],"square":[197],"error":[198],"(RMSE)":[199],"value.":[200],"All":[201],"aggregated":[202],"produced":[204],"stable":[205],"corresponding":[210],"standard":[211],"deviation":[212,220],"(STD)":[213],"relative":[218],"average":[219],"(RAD)":[221],"being":[222],"less":[223],"than":[224],"0.15.":[225]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}