{"id":"https://openalex.org/W2959046283","doi":"https://doi.org/10.3390/rs11131614","title":"Gaussian Processes for Vegetation Parameter Estimation from Hyperspectral Data with Limited Ground Truth","display_name":"Gaussian Processes for Vegetation Parameter Estimation from Hyperspectral Data with Limited Ground Truth","publication_year":2019,"publication_date":"2019-07-08","ids":{"openalex":"https://openalex.org/W2959046283","doi":"https://doi.org/10.3390/rs11131614","mag":"2959046283"},"language":"en","primary_location":{"id":"doi:10.3390/rs11131614","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11131614","pdf_url":"https://www.mdpi.com/2072-4292/11/13/1614/pdf?version=1562566226","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/11/13/1614/pdf?version=1562566226","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086376779","display_name":"Utsav B. Gewali","orcid":"https://orcid.org/0000-0003-1749-4329"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Utsav B. Gewali","raw_affiliation_strings":["Chester F. Carlson Center for Imaging Science, Rochester Institute of Technology, Rochester, NY 14623, USA"],"affiliations":[{"raw_affiliation_string":"Chester F. Carlson Center for Imaging Science, Rochester Institute of Technology, Rochester, NY 14623, USA","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018170783","display_name":"Sildomar T. Monteiro","orcid":"https://orcid.org/0000-0001-7694-9536"},"institutions":[{"id":"https://openalex.org/I1295339012","display_name":"Boeing (United States)","ror":"https://ror.org/04sm5zn07","country_code":"US","type":"company","lineage":["https://openalex.org/I1295339012"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sildomar T. Monteiro","raw_affiliation_strings":["Boeing Research and Technology, Huntsville, AL 35824, USA"],"affiliations":[{"raw_affiliation_string":"Boeing Research and Technology, Huntsville, AL 35824, USA","institution_ids":["https://openalex.org/I1295339012"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110980789","display_name":"Eli Saber","orcid":null},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eli Saber","raw_affiliation_strings":["Chester F. Carlson Center for Imaging Science, Rochester Institute of Technology, Rochester, NY 14623, USA","Department of Electrical &amp; Microelectronic Engineering, Rochester Institute of Technology, Rochester, NY 14623, USA"],"affiliations":[{"raw_affiliation_string":"Chester F. Carlson Center for Imaging Science, Rochester Institute of Technology, Rochester, NY 14623, USA","institution_ids":["https://openalex.org/I155173764"]},{"raw_affiliation_string":"Department of Electrical &amp; Microelectronic Engineering, Rochester Institute of Technology, Rochester, NY 14623, USA","institution_ids":["https://openalex.org/I155173764"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5086376779"],"corresponding_institution_ids":["https://openalex.org/I155173764"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":3.4062,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.92301236,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"11","issue":"13","first_page":"1614","last_page":"1614"},"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":0.9950000047683716,"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/T10895","display_name":"Species Distribution and Climate Change","score":0.9817000031471252,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8979663252830505},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.7703310251235962},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5936373472213745},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5871836543083191},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.5847961902618408},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5420594215393066},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.5232709646224976},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.49255403876304626},{"id":"https://openalex.org/keywords/gaussian-network-model","display_name":"Gaussian network model","score":0.4258188009262085},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.42315560579299927},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.34690678119659424},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27541589736938477},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2597031593322754},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23955190181732178},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.22146543860435486},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.14817410707473755}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8979663252830505},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.7703310251235962},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5936373472213745},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5871836543083191},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.5847961902618408},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5420594215393066},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.5232709646224976},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.49255403876304626},{"id":"https://openalex.org/C166550679","wikidata":"https://www.wikidata.org/wiki/Q263400","display_name":"Gaussian network model","level":3,"score":0.4258188009262085},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.42315560579299927},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.34690678119659424},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27541589736938477},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2597031593322754},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23955190181732178},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.22146543860435486},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.14817410707473755},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs11131614","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11131614","pdf_url":"https://www.mdpi.com/2072-4292/11/13/1614/pdf?version=1562566226","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:1fdf04b0f8d944bea5e220194592a69c","is_oa":true,"landing_page_url":"https://doaj.org/article/1fdf04b0f8d944bea5e220194592a69c","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 11, Iss 13, p 1614 (2019)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/11/13/1614/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs11131614","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 11; Issue 13; Pages: 1614","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs11131614","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11131614","pdf_url":"https://www.mdpi.com/2072-4292/11/13/1614/pdf?version=1562566226","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.6399999856948853,"display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2959046283.pdf","grobid_xml":"https://content.openalex.org/works/W2959046283.grobid-xml"},"referenced_works_count":67,"referenced_works":["https://openalex.org/W137285897","https://openalex.org/W198334126","https://openalex.org/W1500892563","https://openalex.org/W1970664916","https://openalex.org/W1987607942","https://openalex.org/W2007342648","https://openalex.org/W2012071615","https://openalex.org/W2017859040","https://openalex.org/W2037916939","https://openalex.org/W2041178793","https://openalex.org/W2059523177","https://openalex.org/W2062647083","https://openalex.org/W2063688197","https://openalex.org/W2064232346","https://openalex.org/W2065772955","https://openalex.org/W2074506978","https://openalex.org/W2091844025","https://openalex.org/W2093628091","https://openalex.org/W2097970470","https://openalex.org/W2098770944","https://openalex.org/W2100591662","https://openalex.org/W2101010747","https://openalex.org/W2107386393","https://openalex.org/W2114441252","https://openalex.org/W2118955589","https://openalex.org/W2121025745","https://openalex.org/W2123386011","https://openalex.org/W2125763679","https://openalex.org/W2130670721","https://openalex.org/W2134778014","https://openalex.org/W2139259843","https://openalex.org/W2145539952","https://openalex.org/W2153347097","https://openalex.org/W2165698076","https://openalex.org/W2167503371","https://openalex.org/W2167881994","https://openalex.org/W2185068657","https://openalex.org/W2404939661","https://openalex.org/W2413379912","https://openalex.org/W2510592672","https://openalex.org/W2517171266","https://openalex.org/W2595675930","https://openalex.org/W2752783222","https://openalex.org/W2755091472","https://openalex.org/W2771011869","https://openalex.org/W2781973163","https://openalex.org/W2783037468","https://openalex.org/W2806394060","https://openalex.org/W2884599087","https://openalex.org/W2897933472","https://openalex.org/W2909516836","https://openalex.org/W2962875092","https://openalex.org/W3102763855","https://openalex.org/W4211049957","https://openalex.org/W4256297109","https://openalex.org/W4300420063","https://openalex.org/W6605391468","https://openalex.org/W6674989108","https://openalex.org/W6675823452","https://openalex.org/W6677658955","https://openalex.org/W6684918892","https://openalex.org/W6690827749","https://openalex.org/W6726398038","https://openalex.org/W6738082921","https://openalex.org/W6747645556","https://openalex.org/W6922696963","https://openalex.org/W7071680606"],"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/W2404757046","https://openalex.org/W2901421464","https://openalex.org/W2932657337","https://openalex.org/W2003580170","https://openalex.org/W2037306524"],"abstract_inverted_index":{"An":[0],"important":[1],"application":[2],"of":[3,12,16,51,94,108,129,147,160,164,172,181,191],"airborne-":[4],"and":[5,19,72,78,119,203],"satellite-based":[6],"hyperspectral":[7,201],"imaging":[8],"is":[9,45,56,61,101,105,143,184],"the":[10,13,49,92,106,144,157,161,170,189,192],"mapping":[11],"spatial":[14],"distribution":[15],"vegetation":[17,37,95,149,162,174],"biophysical":[18],"biochemical":[20],"parameters":[21,38,150,175],"in":[22],"an":[23],"environment.":[24],"Statistical":[25],"models,":[26],"such":[27,115],"as":[28],"Gaussian":[29,86,153],"processes,":[30],"have":[31],"been":[32],"very":[33],"successful":[34],"for":[35,90,131,176],"modeling":[36,146],"from":[39],"captured":[40],"spectra,":[41],"however":[42],"their":[43,136],"performance":[44],"highly":[46],"dependent":[47],"on":[48,112,198],"amount":[50],"available":[52],"ground":[53,66,99,182],"truth.":[54],"This":[55],"a":[57,178],"problem":[58],"because":[59],"it":[60],"generally":[62],"expensive":[63],"to":[64,70,125,135,138],"obtain":[65],"truth":[67,100,183],"information":[68],"due":[69],"difficulties":[71],"costs":[73],"associated":[74],"with":[75,169],"sample":[76],"collection":[77],"analysis.":[79],"In":[80],"this":[81],"paper,":[82],"we":[83],"present":[84],"two":[85],"processes":[87,154],"based":[88,111],"approaches":[89,197],"improving":[91],"accuracy":[93,159],"parameter":[96,163],"retrieval":[97],"when":[98],"limited.":[102],"The":[103,141],"first":[104],"adoption":[107],"covariance":[109],"functions":[110],"well-established":[113],"metrics,":[114],"as,":[116],"spectral":[117,120,132,139],"angle":[118],"correlation,":[121],"which":[122,177],"are":[123],"known":[124],"be":[126,167],"better":[127],"measures":[128],"similarity":[130],"data":[133],"owing":[134],"resilience":[137],"variabilities.":[140],"second":[142],"joint":[145],"related":[148,173],"by":[151],"multitask":[152],"so":[155],"that":[156],"prediction":[158],"interest":[165],"can":[166],"improved":[168],"aid":[171],"larger":[179],"set":[180],"available.":[185],"We":[186],"experimentally":[187],"demonstrate":[188],"efficacy":[190],"proposed":[193],"methods":[194],"against":[195],"existing":[196],"three":[199],"real-world":[200],"datasets":[202],"one":[204],"synthetic":[205],"dataset.":[206]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":8}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2019-07-23T00:00:00"}
