{"id":"https://openalex.org/W2952667889","doi":"https://doi.org/10.1109/tgrs.2019.2916212","title":"Kernel Anomalous Change Detection for Remote Sensing Imagery","display_name":"Kernel Anomalous Change Detection for Remote Sensing Imagery","publication_year":2019,"publication_date":"2019-06-06","ids":{"openalex":"https://openalex.org/W2952667889","doi":"https://doi.org/10.1109/tgrs.2019.2916212","mag":"2952667889"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2019.2916212","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2019.2916212","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":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2012.04920","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Jose A. Padron-Hidalgo","orcid":"https://orcid.org/0000-0002-2431-2792"},"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 A. Padron-Hidalgo","raw_affiliation_strings":["Image Processing Laboratory (IPL), University of Valencia, Valencia, Spain"],"raw_orcid":"https://orcid.org/0000-0002-2431-2792","affiliations":[{"raw_affiliation_string":"Image Processing Laboratory (IPL), University of Valencia, Valencia, Spain","institution_ids":["https://openalex.org/I16097986"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Valero Laparra","orcid":null},"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":"Valero Laparra","raw_affiliation_strings":["Image Processing Laboratory (IPL), University of Valencia, Valencia, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image Processing Laboratory (IPL), University of Valencia, Valencia, Spain","institution_ids":["https://openalex.org/I16097986"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Nathan Longbotham","orcid":"https://orcid.org/0000-0002-5283-001X"},"institutions":[{"id":"https://openalex.org/I4210164897","display_name":"Descartes Labs (United States)","ror":"https://ror.org/05a9ar681","country_code":"US","type":"company","lineage":["https://openalex.org/I4210164897"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nathan Longbotham","raw_affiliation_strings":["Descartes Labs, Inc., Santa Fe, NM, USA"],"raw_orcid":"https://orcid.org/0000-0002-5283-001X","affiliations":[{"raw_affiliation_string":"Descartes Labs, Inc., Santa Fe, NM, USA","institution_ids":["https://openalex.org/I4210164897"]}]},{"author_position":"last","author":{"id":null,"display_name":"Gustau Camps-Valls","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), University of Valencia, Valencia, Spain"],"raw_orcid":"https://orcid.org/0000-0003-1683-2138","affiliations":[{"raw_affiliation_string":"Image Processing Laboratory (IPL), University of Valencia, Valencia, Spain","institution_ids":["https://openalex.org/I16097986"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2686,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.82895933,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"57","issue":"10","first_page":"7743","last_page":"7755"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9886999726295471,"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":0.9886999726295471,"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/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.0017999999690800905,"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"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.001500000013038516,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.7027000188827515},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6575999855995178},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.6118000149726868},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.5874999761581421},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5580999851226807},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4936999976634979},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4740000069141388},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4722000062465668}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7287999987602234},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.7027000188827515},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.677299976348877},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6575999855995178},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.6118000149726868},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.5874999761581421},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5580999851226807},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4936999976634979},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4747999906539917},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4740000069141388},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4722000062465668},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.4528999924659729},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3781999945640564},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3529999852180481},{"id":"https://openalex.org/C7218915","wikidata":"https://www.wikidata.org/wiki/Q1054475","display_name":"Gaussian function","level":3,"score":0.3407000005245209},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.3328000009059906},{"id":"https://openalex.org/C183365957","wikidata":"https://www.wikidata.org/wiki/Q17140402","display_name":"Remote sensing application","level":3,"score":0.3287999927997589},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3050999939441681},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3050000071525574},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.28929999470710754},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.27320000529289246},{"id":"https://openalex.org/C104541649","wikidata":"https://www.wikidata.org/wiki/Q6935090","display_name":"Multispectral pattern recognition","level":3,"score":0.2671000063419342},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.2623000144958496},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.25540000200271606},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.25380000472068787},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.25099998712539673}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tgrs.2019.2916212","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2019.2916212","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"},{"id":"pmh:oai:arXiv.org:2012.04920","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2012.04920","pdf_url":"https://arxiv.org/pdf/2012.04920","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2012.04920","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2012.04920","pdf_url":"https://arxiv.org/pdf/2012.04920","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5016530495","display_name":null,"funder_award_id":"GRISOLIA/2016/100","funder_id":"https://openalex.org/F4320321864","funder_display_name":"Generalitat Valenciana"},{"id":"https://openalex.org/G5883926154","display_name":"Statistical Learning for Earth Observation Data Analysis.","funder_award_id":"647423","funder_id":"https://openalex.org/F4320338335","funder_display_name":"H2020 European Research Council"}],"funders":[{"id":"https://openalex.org/F4320321864","display_name":"Generalitat Valenciana","ror":"https://ror.org/0097mvx21"},{"id":"https://openalex.org/F4320338335","display_name":"H2020 European Research Council","ror":"https://ror.org/0472cxd90"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W59495185","https://openalex.org/W1510073064","https://openalex.org/W1595738034","https://openalex.org/W1993604094","https://openalex.org/W1996968427","https://openalex.org/W1998595580","https://openalex.org/W1998691552","https://openalex.org/W2006383776","https://openalex.org/W2011147915","https://openalex.org/W2016130389","https://openalex.org/W2029136025","https://openalex.org/W2033513517","https://openalex.org/W2036798369","https://openalex.org/W2037994585","https://openalex.org/W2047870694","https://openalex.org/W2054520301","https://openalex.org/W2067782748","https://openalex.org/W2079740553","https://openalex.org/W2088429922","https://openalex.org/W2107128117","https://openalex.org/W2107905252","https://openalex.org/W2110034185","https://openalex.org/W2111320133","https://openalex.org/W2112959383","https://openalex.org/W2113120414","https://openalex.org/W2120641882","https://openalex.org/W2124463804","https://openalex.org/W2127229869","https://openalex.org/W2127881472","https://openalex.org/W2133303449","https://openalex.org/W2134722939","https://openalex.org/W2136625467","https://openalex.org/W2140023211","https://openalex.org/W2142552707","https://openalex.org/W2144552105","https://openalex.org/W2148609796","https://openalex.org/W2152653673","https://openalex.org/W2155118899","https://openalex.org/W2156909104","https://openalex.org/W2156975318","https://openalex.org/W2160544350","https://openalex.org/W2165577558","https://openalex.org/W2167208453","https://openalex.org/W2170140722","https://openalex.org/W2343117455","https://openalex.org/W2428361224","https://openalex.org/W2528333963","https://openalex.org/W2564140372","https://openalex.org/W2577832105","https://openalex.org/W2790936515","https://openalex.org/W2805135010","https://openalex.org/W2993383518","https://openalex.org/W4233014035","https://openalex.org/W4234731922","https://openalex.org/W6631556622","https://openalex.org/W6677508755","https://openalex.org/W6679934818"],"related_works":[],"abstract_inverted_index":{"Anomalous":[0],"change":[1,43],"detection":[2,128,139],"(ACD)":[3],"is":[4,113,134],"an":[5,161],"important":[6],"problem":[7],"in":[8,84,95,115,125,137,156,175],"remote":[9],"sensing":[10],"image":[11],"processing.":[12],"Detecting":[13],"not":[14],"only":[15],"pervasive":[16,86],"but":[17],"also":[18,146],"anomalous":[19,42,173],"or":[20],"extreme":[21],"changes":[22,94,174],"has":[23],"many":[24],"applications":[25],"for":[26],"which":[27],"methodologies":[28],"are":[29],"available.":[30],"This":[31],"paper":[32],"introduces":[33],"a":[34,38,169],"nonlinear":[35,64],"extension":[36],"of":[37,41,70,79,111,127,163,171],"full":[39],"family":[40],"detectors.":[44],"In":[45],"particular,":[46],"we":[47],"focus":[48],"on":[49,67],"algorithms":[50,165],"that":[51,148],"utilize":[52],"Gaussian":[53],"and":[54,59,87,92,97,106,121,141],"elliptically":[55],"contoured":[56],"(EC)":[57],"distribution":[58],"extend":[60],"them":[61],"to":[62,131],"their":[63],"counterparts":[65],"based":[66],"the":[68,77,80,149,164],"theory":[69],"reproducing":[71],"kernels'":[72],"Hilbert":[73,157],"space.":[74],"We":[75,159],"illustrate":[76],"performance":[78,124],"kernel":[81],"methods":[82],"introduced":[83],"both":[85],"ACD":[88],"problems":[89],"with":[90,100],"real":[91,116,176],"simulated":[93],"multispectral":[96],"hyperspectral":[98],"imagery":[99],"different":[101],"resolutions":[102],"(AVIRIS,":[103],"Sentinel-2,":[104],"WorldView-2,":[105],"Quickbird).":[107],"A":[108],"wide":[109],"range":[110],"situations":[112],"studied":[114],"examples,":[117],"including":[118],"droughts,":[119],"wildfires,":[120],"urbanization.":[122],"Excellent":[123],"terms":[126],"accuracy":[129,140],"compared":[130],"linear":[132],"formulations":[133],"achieved,":[135],"resulting":[136],"improved":[138],"reduced":[142],"false-alarm":[143],"rates.":[144],"Results":[145],"reveal":[147],"EC":[150],"assumption":[151],"may":[152],"be":[153],"still":[154],"valid":[155],"spaces.":[158],"provide":[160],"implementation":[162],"as":[166,168],"well":[167],"database":[170],"natural":[172],"scenarios":[177],"http://isp.uv.es/kacd.html.":[178]},"counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2019-06-27T00:00:00"}
