{"id":"https://openalex.org/W2771539542","doi":"https://doi.org/10.1109/igarss.2017.8127431","title":"Efficient remote sensing image classification with Gaussian processes and Fourier features","display_name":"Efficient remote sensing image classification with Gaussian processes and Fourier features","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2771539542","doi":"https://doi.org/10.1109/igarss.2017.8127431","mag":"2771539542"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2017.8127431","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2017.8127431","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/A5006029857","display_name":"Pablo Morales-\u00c1lvarez","orcid":"https://orcid.org/0000-0003-2793-0083"},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Pablo Morales","raw_affiliation_strings":["Dept. of Computer Science and Artificial Intelligence, University of Granada, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Artificial Intelligence, University of Granada, Spain","institution_ids":["https://openalex.org/I173304897"]}]},{"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, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image Processing Laboratory (IPL), Universitat de Val\u00e8ncia, Spain","institution_ids":["https://openalex.org/I16097986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023830568","display_name":"Rafael Molina","orcid":"https://orcid.org/0000-0003-4694-8588"},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Rafael Molina","raw_affiliation_strings":["Dept. of Computer Science and Artificial Intelligence, University of Granada, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Artificial Intelligence, University of Granada, Spain","institution_ids":["https://openalex.org/I173304897"]}]},{"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, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image Processing Laboratory (IPL), Universitat de Val\u00e8ncia, Spain","institution_ids":["https://openalex.org/I16097986"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2227","last_page":"2230"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9980000257492065,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9786999821662903,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6839699149131775},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.6833340525627136},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6446870565414429},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.6288448572158813},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.6130607724189758},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5504176020622253},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.48902687430381775},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48737698793411255},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4629310965538025},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3585372865200043},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3519720435142517},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3362557291984558},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22709563374519348}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6839699149131775},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.6833340525627136},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6446870565414429},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.6288448572158813},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.6130607724189758},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5504176020622253},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.48902687430381775},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48737698793411255},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4629310965538025},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3585372865200043},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3519720435142517},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3362557291984558},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22709563374519348},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"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/igarss.2017.8127431","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2017.8127431","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W59495185","https://openalex.org/W1172736100","https://openalex.org/W2026153490","https://openalex.org/W2073498049","https://openalex.org/W2099129687","https://openalex.org/W2104269704","https://openalex.org/W2134601045","https://openalex.org/W2144902422","https://openalex.org/W2592385957","https://openalex.org/W4211049957","https://openalex.org/W6681302627"],"related_works":["https://openalex.org/W4318664220","https://openalex.org/W2771047279","https://openalex.org/W4388409104","https://openalex.org/W2124951708","https://openalex.org/W1544811710","https://openalex.org/W172072032","https://openalex.org/W2006066416","https://openalex.org/W3157073418","https://openalex.org/W2058127401","https://openalex.org/W2599254681"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3],"efficient":[4],"methodology":[5],"for":[6],"approximating":[7],"kernel":[8],"functions":[9],"in":[10,80],"Gaussian":[11],"process":[12],"classification":[13],"(GPC).":[14],"Two":[15],"models":[16],"are":[17],"introduced.":[18],"We":[19],"first":[20],"include":[21],"the":[22,34,64,75],"standard":[23],"random":[24],"Fourier":[25,59],"features":[26],"(RFF)":[27],"approximation":[28],"into":[29],"GPC,":[30],"which":[31,52],"largely":[32],"improves":[33],"computational":[35],"efficiency":[36],"and":[37,61],"permits":[38],"large":[39],"scale":[40],"remote":[41],"sensing":[42],"data":[43],"classification.":[44],"In":[45],"addition,":[46],"we":[47],"develop":[48],"a":[49,56,68],"novel":[50],"approach":[51],"avoids":[53],"randomly":[54],"sampling":[55],"number":[57],"of":[58,74,83],"frequencies,":[60],"alternatively":[62],"learns":[63],"optimal":[65],"ones":[66],"using":[67],"variational":[69],"Bayes":[70],"approach.":[71],"The":[72],"performance":[73],"proposed":[76],"methods":[77],"is":[78],"illustrated":[79],"complex":[81],"problems":[82],"cloud":[84],"detection":[85],"from":[86],"multispectral":[87],"imagery.":[88]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
