{"id":"https://openalex.org/W2577832105","doi":"https://doi.org/10.1109/tgrs.2016.2642125","title":"Kernel Slow Feature Analysis for Scene Change Detection","display_name":"Kernel Slow Feature Analysis for Scene Change Detection","publication_year":2017,"publication_date":"2017-01-17","ids":{"openalex":"https://openalex.org/W2577832105","doi":"https://doi.org/10.1109/tgrs.2016.2642125","mag":"2577832105"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2016.2642125","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2016.2642125","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/A5100705638","display_name":"Chen Wu","orcid":"https://orcid.org/0000-0001-6461-8377"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chen Wu","raw_affiliation_strings":["International School of Software, and the Spatial Information and Digital Engineering Research Center, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"International School of Software, and the Spatial Information and Digital Engineering Research Center, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100673827","display_name":"Liangpei Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]},{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangpei Zhang","raw_affiliation_strings":["Remote Sensing Group, State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Remote Sensing Group, State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113667752","display_name":"Bo Du","orcid":"https://orcid.org/0000-0002-0059-8458"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Du","raw_affiliation_strings":["School of Computer Science, and Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, and Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100705638"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":12.0066,"has_fulltext":false,"cited_by_count":142,"citation_normalized_percentile":{"value":0.98592602,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"55","issue":"4","first_page":"2367","last_page":"2384"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998000264167786,"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":0.9998000264167786,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9704999923706055,"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":0.8175830245018005},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7924332022666931},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.776865541934967},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6170620322227478},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5117859244346619},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4925704598426819},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4889591932296753},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.442410409450531},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13059186935424805}],"concepts":[{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.8175830245018005},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7924332022666931},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.776865541934967},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6170620322227478},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5117859244346619},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4925704598426819},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4889591932296753},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.442410409450531},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13059186935424805},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2016.2642125","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2016.2642125","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":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.8399999737739563}],"awards":[{"id":"https://openalex.org/G1787015647","display_name":null,"funder_award_id":"41431175","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4559684627","display_name":null,"funder_award_id":"61601333","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4573348810","display_name":null,"funder_award_id":"2015M580667","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G7947832955","display_name":null,"funder_award_id":"61471274","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8624747988","display_name":null,"funder_award_id":"2016T90733","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W23058082","https://openalex.org/W180242331","https://openalex.org/W1157380099","https://openalex.org/W1515999713","https://openalex.org/W1587559447","https://openalex.org/W1589362500","https://openalex.org/W1824774525","https://openalex.org/W1977355761","https://openalex.org/W1977814411","https://openalex.org/W1980038761","https://openalex.org/W1985133440","https://openalex.org/W1990693003","https://openalex.org/W1995515233","https://openalex.org/W1998595580","https://openalex.org/W2001003881","https://openalex.org/W2002064049","https://openalex.org/W2002281921","https://openalex.org/W2006603039","https://openalex.org/W2011068521","https://openalex.org/W2015386604","https://openalex.org/W2015894711","https://openalex.org/W2021131789","https://openalex.org/W2024106491","https://openalex.org/W2024106504","https://openalex.org/W2036798369","https://openalex.org/W2041657594","https://openalex.org/W2046017387","https://openalex.org/W2047037844","https://openalex.org/W2054854521","https://openalex.org/W2057815930","https://openalex.org/W2080142539","https://openalex.org/W2084831455","https://openalex.org/W2089327948","https://openalex.org/W2097018403","https://openalex.org/W2109235804","https://openalex.org/W2118116484","https://openalex.org/W2125574651","https://openalex.org/W2127539715","https://openalex.org/W2128117981","https://openalex.org/W2130913433","https://openalex.org/W2133059825","https://openalex.org/W2134969826","https://openalex.org/W2135176316","https://openalex.org/W2140023211","https://openalex.org/W2140095548","https://openalex.org/W2146444479","https://openalex.org/W2148553367","https://openalex.org/W2153635508","https://openalex.org/W2156935079","https://openalex.org/W2157026765","https://openalex.org/W2161570034","https://openalex.org/W2162762921","https://openalex.org/W2162915993","https://openalex.org/W2164071167","https://openalex.org/W2165350297","https://openalex.org/W2220312492","https://openalex.org/W2274749644","https://openalex.org/W2283168383","https://openalex.org/W2303475025","https://openalex.org/W2320738207","https://openalex.org/W2325982591","https://openalex.org/W4232730838","https://openalex.org/W6635107798","https://openalex.org/W6674642818","https://openalex.org/W6680096826","https://openalex.org/W6680294726"],"related_works":["https://openalex.org/W2601157893","https://openalex.org/W2373006798","https://openalex.org/W2056912418","https://openalex.org/W2112208972","https://openalex.org/W2123759770","https://openalex.org/W2033213769","https://openalex.org/W2151520854","https://openalex.org/W2811390910","https://openalex.org/W4312376745","https://openalex.org/W2768048376"],"abstract_inverted_index":{"Scene":[0],"change":[1,61,80,113,200],"detection":[2,62,81],"between":[3,115],"multitemporal":[4,117,145],"image":[5,118,185],"scenes":[6,169],"can":[7,158,194],"be":[8],"used":[9],"to":[10,82,102,109,137,151,173,175],"interpret":[11],"the":[12,23,30,38,43,89,96,104,112,139,155,161,167,176,191,196],"variation":[13],"of":[14,25,144,163,198],"regional":[15],"land":[16],"use,":[17],"and":[18,46,70,87,130,205],"has":[19],"significant":[20],"potential":[21],"in":[22,149],"application":[24],"urban":[26],"development":[27],"monitoring":[28],"at":[29],"semantic":[31,40,153],"level.":[32],"The":[33],"traditional":[34],"methods":[35],"directly":[36],"comparing":[37],"independent":[39,75],"classes":[41],"neglect":[42],"temporal":[44],"correlation,":[45],"thus":[47],"suffer":[48],"from":[49],"accumulated":[50],"classification":[51,77],"errors.":[52],"In":[53],"this":[54],"paper,":[55],"we":[56],"propose":[57],"a":[58],"novel":[59],"scene":[60,76,79,85,146,164,186,199,202,206],"method":[63,157,193],"via":[64],"kernel":[65],"slow":[66],"feature":[67],"analysis":[68],"(KSFA)":[69],"postclassification":[71,121],"fusion,":[72],"which":[73,124],"integrates":[74],"with":[78,95,181],"accurately":[83],"determine":[84],"changes":[86],"identify":[88,138],"\u201cfrom-to\u201d":[90],"transition":[91,203],"type.":[92],"After":[93],"representation":[94],"bag-of-visual-words":[97],"model,":[98],"KSFA":[99],"is":[100],"proposed":[101,156,192],"extract":[103],"nonlinear":[105],"temporally":[106],"invariant":[107],"features,":[108],"better":[110],"measure":[111],"probability":[114],"corresponding":[116],"scenes.":[119],"Two":[120,179],"fusion":[122],"methods,":[123],"are":[125,134,170],"based":[126],"on":[127],"Bayesian":[128],"theory":[129],"predefined":[131],"rules,":[132],"respectively,":[133],"then":[135],"employed":[136],"optimal":[140],"coupled":[141],"class":[142],"combinations":[143],"pairs.":[147],"Furthermore,":[148],"addition":[150],"identifying":[152],"changes,":[154],"also":[159],"improve":[160],"performance":[162],"classification,":[165],"since":[166],"unchanged":[168],"more":[171],"likely":[172],"belong":[174],"same":[177],"class.":[178],"experiments":[180],"high-resolution":[182],"remote":[183],"sensing":[184],"data":[187],"sets":[188],"confirm":[189],"that":[190],"increase":[195],"accuracy":[197],"detection,":[201],"identification,":[204],"classification.":[207]},"counts_by_year":[{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":24},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":20},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":19},{"year":2019,"cited_by_count":20},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
