{"id":"https://openalex.org/W2969766133","doi":"https://doi.org/10.1109/tgrs.2019.2931085","title":"Nonlinear Distribution Regression for Remote Sensing Applications","display_name":"Nonlinear Distribution Regression for Remote Sensing Applications","publication_year":2019,"publication_date":"2019-08-22","ids":{"openalex":"https://openalex.org/W2969766133","doi":"https://doi.org/10.1109/tgrs.2019.2931085","mag":"2969766133"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2019.2931085","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2019.2931085","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},"type":"article","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/A5079925438","display_name":"Jos\u00e9 E. Adsuara","orcid":"https://orcid.org/0000-0002-3842-965X"},"institutions":[{"id":"https://openalex.org/I16097986","display_name":"Universitat de Val\u00e8ncia","ror":"https://ror.org/043nxc105","country_code":"ES","type":"education","lineage":["https://openalex.org/I16097986"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jose E. Adsuara","raw_affiliation_strings":["Image Processing Laboratory (IPL), Universitat de Val\u00e8ncia, Val\u00e8ncia, Spain"],"raw_orcid":"https://orcid.org/0000-0002-3842-965X","affiliations":[{"raw_affiliation_string":"Image Processing Laboratory (IPL), Universitat de Val\u00e8ncia, Val\u00e8ncia, Spain","institution_ids":["https://openalex.org/I16097986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012161331","display_name":"Adri\u00e1n P\u00e9rez-Suay","orcid":"https://orcid.org/0000-0002-8258-4454"},"institutions":[{"id":"https://openalex.org/I16097986","display_name":"Universitat de Val\u00e8ncia","ror":"https://ror.org/043nxc105","country_code":"ES","type":"education","lineage":["https://openalex.org/I16097986"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Adrian Perez-Suay","raw_affiliation_strings":["Image Processing Laboratory (IPL), Universitat de Val\u00e8ncia, Val\u00e8ncia, Spain"],"raw_orcid":"https://orcid.org/0000-0002-8258-4454","affiliations":[{"raw_affiliation_string":"Image Processing Laboratory (IPL), Universitat de Val\u00e8ncia, Val\u00e8ncia, Spain","institution_ids":["https://openalex.org/I16097986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085480844","display_name":"Jordi Mu\u00f1oz-Mar\u0131\u0301","orcid":"https://orcid.org/0000-0002-3014-3921"},"institutions":[{"id":"https://openalex.org/I16097986","display_name":"Universitat de Val\u00e8ncia","ror":"https://ror.org/043nxc105","country_code":"ES","type":"education","lineage":["https://openalex.org/I16097986"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jordi Munoz-Mari","raw_affiliation_strings":["Image Processing Laboratory (IPL), Universitat de Val\u00e8ncia, Val\u00e8ncia, Spain"],"raw_orcid":"https://orcid.org/0000-0002-3014-3921","affiliations":[{"raw_affiliation_string":"Image Processing Laboratory (IPL), Universitat de Val\u00e8ncia, Val\u00e8ncia, Spain","institution_ids":["https://openalex.org/I16097986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050846000","display_name":"Anna Mateo-Sanchis","orcid":"https://orcid.org/0000-0002-2251-0410"},"institutions":[{"id":"https://openalex.org/I16097986","display_name":"Universitat de Val\u00e8ncia","ror":"https://ror.org/043nxc105","country_code":"ES","type":"education","lineage":["https://openalex.org/I16097986"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Anna Mateo-Sanchis","raw_affiliation_strings":["Image Processing Laboratory (IPL), Universitat de Val\u00e8ncia, Val\u00e8ncia, Spain"],"raw_orcid":"https://orcid.org/0000-0002-2251-0410","affiliations":[{"raw_affiliation_string":"Image Processing Laboratory (IPL), Universitat de Val\u00e8ncia, Val\u00e8ncia, Spain","institution_ids":["https://openalex.org/I16097986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032528806","display_name":"Mar\u00eda Piles","orcid":"https://orcid.org/0000-0002-1169-3098"},"institutions":[{"id":"https://openalex.org/I16097986","display_name":"Universitat de Val\u00e8ncia","ror":"https://ror.org/043nxc105","country_code":"ES","type":"education","lineage":["https://openalex.org/I16097986"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Maria Piles","raw_affiliation_strings":["Image Processing Laboratory (IPL), Universitat de Val\u00e8ncia, Val\u00e8ncia, Spain"],"raw_orcid":"https://orcid.org/0000-0002-1169-3098","affiliations":[{"raw_affiliation_string":"Image Processing Laboratory (IPL), Universitat de Val\u00e8ncia, Val\u00e8ncia, Spain","institution_ids":["https://openalex.org/I16097986"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039052506","display_name":"Gustau Camps\u2010Valls","orcid":"https://orcid.org/0000-0003-1683-2138"},"institutions":[{"id":"https://openalex.org/I16097986","display_name":"Universitat de Val\u00e8ncia","ror":"https://ror.org/043nxc105","country_code":"ES","type":"education","lineage":["https://openalex.org/I16097986"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Gustau Camps-Valls","raw_affiliation_strings":["Image Processing Laboratory (IPL), Universitat de Val\u00e8ncia, Val\u00e8ncia, Spain"],"raw_orcid":"https://orcid.org/0000-0003-1683-2138","affiliations":[{"raw_affiliation_string":"Image Processing Laboratory (IPL), Universitat de Val\u00e8ncia, Val\u00e8ncia, Spain","institution_ids":["https://openalex.org/I16097986"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I16097986"],"apc_list":null,"apc_paid":null,"fwci":2.5048,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.89014628,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"57","issue":"12","first_page":"10025","last_page":"10035"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9993000030517578,"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":0.9993000030517578,"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/T10770","display_name":"Soil Geostatistics and Mapping","score":0.998199999332428,"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/T11312","display_name":"Soil Moisture and Remote Sensing","score":0.9945999979972839,"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/remote-sensing","display_name":"Remote sensing","score":0.5448011755943298},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5277398824691772},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5103313326835632},{"id":"https://openalex.org/keywords/nonlinear-regression","display_name":"Nonlinear regression","score":0.45263680815696716},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.427859365940094},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.4246477782726288},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.36261823773384094},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3254495859146118},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3077254295349121},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2755007743835449},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2507602572441101},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.24670559167861938},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21741506457328796},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09564456343650818}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5448011755943298},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5277398824691772},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5103313326835632},{"id":"https://openalex.org/C46889948","wikidata":"https://www.wikidata.org/wiki/Q2755024","display_name":"Nonlinear regression","level":3,"score":0.45263680815696716},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.427859365940094},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.4246477782726288},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.36261823773384094},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3254495859146118},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3077254295349121},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2755007743835449},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2507602572441101},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.24670559167861938},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21741506457328796},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09564456343650818},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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":1,"locations":[{"id":"doi:10.1109/tgrs.2019.2931085","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2019.2931085","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.6499999761581421}],"awards":[{"id":"https://openalex.org/G6110705780","display_name":null,"funder_award_id":"TIN2015-64210-R","funder_id":"https://openalex.org/F4320321837","funder_display_name":"Ministerio de Econom\u00eda y Competitividad"},{"id":"https://openalex.org/G7063201471","display_name":null,"funder_award_id":"RTI2018-096765-A-100","funder_id":"https://openalex.org/F4320321837","funder_display_name":"Ministerio de Econom\u00eda y Competitividad"}],"funders":[{"id":"https://openalex.org/F4320321837","display_name":"Ministerio de Econom\u00eda y Competitividad","ror":"https://ror.org/034900433"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W59495185","https://openalex.org/W181444816","https://openalex.org/W569770330","https://openalex.org/W593789711","https://openalex.org/W842265099","https://openalex.org/W1057605271","https://openalex.org/W1510073064","https://openalex.org/W1560724230","https://openalex.org/W1578736039","https://openalex.org/W1672771901","https://openalex.org/W1689407543","https://openalex.org/W1750591676","https://openalex.org/W1986280275","https://openalex.org/W2014116727","https://openalex.org/W2015904350","https://openalex.org/W2042294756","https://openalex.org/W2042873848","https://openalex.org/W2044828368","https://openalex.org/W2048336910","https://openalex.org/W2051332113","https://openalex.org/W2051396660","https://openalex.org/W2072567364","https://openalex.org/W2083187978","https://openalex.org/W2087506358","https://openalex.org/W2089433206","https://openalex.org/W2103564202","https://openalex.org/W2105386417","https://openalex.org/W2118384613","https://openalex.org/W2120287764","https://openalex.org/W2123395972","https://openalex.org/W2144902422","https://openalex.org/W2159966040","https://openalex.org/W2167881994","https://openalex.org/W2311217941","https://openalex.org/W2326057689","https://openalex.org/W2413379912","https://openalex.org/W2506799294","https://openalex.org/W2564060852","https://openalex.org/W2586628821","https://openalex.org/W2620966452","https://openalex.org/W2731015236","https://openalex.org/W2758333383","https://openalex.org/W2764320286","https://openalex.org/W2765402629","https://openalex.org/W2779307118","https://openalex.org/W2790936515","https://openalex.org/W2803336662","https://openalex.org/W2884599087","https://openalex.org/W2949905472","https://openalex.org/W2963173208","https://openalex.org/W2963614384","https://openalex.org/W2964057488","https://openalex.org/W3101522374","https://openalex.org/W3144619878","https://openalex.org/W4211171471","https://openalex.org/W4244946557","https://openalex.org/W4252656291","https://openalex.org/W4298201443","https://openalex.org/W4376463272","https://openalex.org/W6616109796","https://openalex.org/W6623418179","https://openalex.org/W6637737491","https://openalex.org/W6678945949","https://openalex.org/W6681302627","https://openalex.org/W6682440486","https://openalex.org/W6732978894","https://openalex.org/W6745480129","https://openalex.org/W6747414479"],"related_works":["https://openalex.org/W2374340323","https://openalex.org/W1497432777","https://openalex.org/W2348421932","https://openalex.org/W4324119833","https://openalex.org/W2169180051","https://openalex.org/W2353154434","https://openalex.org/W2339040483","https://openalex.org/W3141321603","https://openalex.org/W2371726252","https://openalex.org/W2026986432"],"abstract_inverted_index":{"In":[0],"many":[1],"remote":[2,28],"sensing":[3,29],"applications,":[4],"one":[5],"wants":[6],"to":[7,46,145,195],"estimate":[8],"variables":[9],"or":[10,39,91],"parameters":[11],"of":[12,72,116,150,169,183,199,220,244,253,280],"interest":[13],"from":[14],"observations.":[15,75],"When":[16],"the":[17,27,40,48,56,63,106,114,117,138,165,173,179,184,206,218,224,229,242,254],"target":[18,57],"variable":[19,58],"is":[20,59,79,156,256],"available":[21,45,61],"at":[22,62],"a":[23,70,98],"resolution":[24,168],"that":[25,104],"matches":[26],"observations,":[30],"standard":[31,133],"algorithms,":[32],"such":[33],"as":[34,86,268,270],"neural":[35],"networks,":[36],"random":[37,192],"forests,":[38],"Gaussian":[41],"processes,":[42],"are":[43],"readily":[44],"relate":[47],"two.":[49],"However,":[50],"we":[51,186],"often":[52],"encounter":[53],"situations":[54],"where":[55],"only":[60],"group":[64],"level,":[65],"i.e.,":[66],"collectively":[67],"associated":[68],"with":[69,137,147,164,197],"number":[71],"remotely":[73],"sensed":[74],"This":[76,95],"problem":[77],"setting":[78],"known":[80],"in":[81,126,223,283],"statistics":[82,115],"and":[83,131,153,159,201,228,235,261],"machine":[84],"learning":[85,89],"multiple":[87],"instance":[88],"(MIL)":[90],"distribution":[92,124],"regression":[93,136],"(DR).":[94],"article":[96],"introduces":[97],"nonlinear":[99],"(kernel-based)":[100],"method":[101,255],"for":[102,175,217,241,274],"DR":[103],"solves":[105],"previous":[107],"problems":[108],"without":[109],"making":[110],"any":[111],"assumption":[112],"on":[113,265],"grouped":[118],"data.":[119],"The":[120],"presented":[121,158,272],"formulation":[122],"considers":[123],"embeddings":[125],"reproducing":[127],"kernel":[128],"Hilbert":[129],"spaces":[130],"performs":[132],"least":[134],"squares":[135],"empirical":[139,251],"means":[140,267],"therein.":[141],"A":[142],"flexible":[143],"version":[144,190],"deal":[146],"multisource":[148],"data":[149,216],"different":[151],"dimensionality":[152],"sample":[154],"sizes":[155],"also":[157],"evaluated.":[160],"It":[161],"allows":[162],"working":[163],"native":[166],"spatial":[167],"each":[170],"sensor,":[171],"avoiding":[172],"need":[174],"matchup":[176],"procedures.":[177],"Noting":[178],"large":[180],"computational":[181],"cost":[182],"approach,":[185],"introduce":[187],"an":[188],"efficient":[189],"via":[191],"Fourier":[193],"features":[194],"cope":[196],"millions":[198],"points":[200],"groups.":[202],"Real":[203],"experiments":[204],"involve":[205],"Soil":[207],"Moisture":[208],"Active":[209],"Passive":[210],"(SMAP)":[211],"vegetation":[212],"optical":[213,246],"depth":[214,247],"(VOD)":[215],"estimation":[219,243],"crop":[221],"production":[222],"U.S.":[225],"Corn":[226],"Belt":[227],"Moderate":[230],"Resolution":[231],"Imaging":[232,237],"Spectroradiometer":[233],"(MODIS)":[234],"Multi-angle":[236],"SpectroRadiometer":[238],"(MISR)":[239],"reflectances":[240],"aerosol":[245],"(AOD).":[248],"An":[249],"exhaustive":[250],"evaluation":[252],"done":[257],"against":[258],"naive":[259],"(linear":[260],"nonlinear)":[262],"approaches":[263],"based":[264],"input-space":[266],"well":[269],"previously":[271],"methods":[273,282],"MIL.":[275],"We":[276],"provide":[277],"source":[278],"code":[279],"our":[281],"http://isp.uv.es/code/dr.html.":[284]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
