{"id":"https://openalex.org/W4282598199","doi":"https://doi.org/10.3390/rs14122778","title":"Seeded Classification of Satellite Image Time Series with Lower-Bounded Dynamic Time Warping","display_name":"Seeded Classification of Satellite Image Time Series with Lower-Bounded Dynamic Time Warping","publication_year":2022,"publication_date":"2022-06-09","ids":{"openalex":"https://openalex.org/W4282598199","doi":"https://doi.org/10.3390/rs14122778"},"language":"en","primary_location":{"id":"doi:10.3390/rs14122778","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14122778","pdf_url":"https://www.mdpi.com/2072-4292/14/12/2778/pdf?version=1655196824","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/2072-4292/14/12/2778/pdf?version=1655196824","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100701053","display_name":"Zheng Zhang","orcid":"https://orcid.org/0000-0002-4549-3502"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Zhang","raw_affiliation_strings":["Aerospace Information Research Institute (AIR), Chinese Academy of Sciences (CAS), Beijing 100094, China"],"raw_orcid":"https://orcid.org/0000-0002-4549-3502","affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute (AIR), Chinese Academy of Sciences (CAS), Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101748090","display_name":"Ping Tang","orcid":"https://orcid.org/0000-0002-8721-4209"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping Tang","raw_affiliation_strings":["Aerospace Information Research Institute (AIR), Chinese Academy of Sciences (CAS), Beijing 100094, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute (AIR), Chinese Academy of Sciences (CAS), Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101596162","display_name":"Changmiao Hu","orcid":"https://orcid.org/0000-0003-1019-5561"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changmiao Hu","raw_affiliation_strings":["Aerospace Information Research Institute (AIR), Chinese Academy of Sciences (CAS), Beijing 100094, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute (AIR), Chinese Academy of Sciences (CAS), Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032424181","display_name":"Zhiqiang Liu","orcid":"https://orcid.org/0000-0001-8185-4945"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqiang Liu","raw_affiliation_strings":["Aerospace Information Research Institute (AIR), Chinese Academy of Sciences (CAS), Beijing 100094, China"],"raw_orcid":"https://orcid.org/0000-0001-8185-4945","affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute (AIR), Chinese Academy of Sciences (CAS), Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103138677","display_name":"Weixiong Zhang","orcid":"https://orcid.org/0000-0003-3730-9223"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weixiong Zhang","raw_affiliation_strings":["Aerospace Information Research Institute (AIR), Chinese Academy of Sciences (CAS), Beijing 100094, China"],"raw_orcid":"https://orcid.org/0000-0003-3730-9223","affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute (AIR), Chinese Academy of Sciences (CAS), Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101912272","display_name":"Liang Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I80432865","display_name":"Hainan Tropical Ocean University","ror":"https://ror.org/01y5fjx51","country_code":"CN","type":"education","lineage":["https://openalex.org/I80432865"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liang Tang","raw_affiliation_strings":["School of Marine Information Engineering, Hainan Tropical Ocean University, Sanya 572022, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Marine Information Engineering, Hainan Tropical Ocean University, Sanya 572022, China","institution_ids":["https://openalex.org/I80432865"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101912272"],"corresponding_institution_ids":["https://openalex.org/I80432865"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.4457,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.57021277,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"14","issue":"12","first_page":"2778","last_page":"2778"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9517999887466431,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9394000172615051,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/dynamic-time-warping","display_name":"Dynamic time warping","score":0.9103750586509705},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7366567254066467},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5768460035324097},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.5351067185401917},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5231733918190002},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.5104359984397888},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5088791847229004},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.4959906041622162},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4929194450378418},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4607059061527252},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.44779396057128906},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42961233854293823},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.41057324409484863},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4086551368236542},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.33630189299583435},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19452840089797974},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09471955895423889},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.08557552099227905},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.07462063431739807}],"concepts":[{"id":"https://openalex.org/C88516994","wikidata":"https://www.wikidata.org/wiki/Q1268863","display_name":"Dynamic time warping","level":2,"score":0.9103750586509705},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7366567254066467},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5768460035324097},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.5351067185401917},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5231733918190002},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.5104359984397888},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5088791847229004},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.4959906041622162},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4929194450378418},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4607059061527252},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.44779396057128906},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42961233854293823},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.41057324409484863},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4086551368236542},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.33630189299583435},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19452840089797974},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09471955895423889},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.08557552099227905},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.07462063431739807},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"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/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs14122778","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14122778","pdf_url":"https://www.mdpi.com/2072-4292/14/12/2778/pdf?version=1655196824","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:b6b7de70acaf49a7a3dd26f017fed81c","is_oa":false,"landing_page_url":"https://doaj.org/article/b6b7de70acaf49a7a3dd26f017fed81c","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 14, Iss 12, p 2778 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/12/2778/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14122778","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 14; Issue 12; Pages: 2778","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs14122778","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14122778","pdf_url":"https://www.mdpi.com/2072-4292/14/12/2778/pdf?version=1655196824","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":[{"score":0.6600000262260437,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[{"id":"https://openalex.org/G5328032671","display_name":null,"funder_award_id":"41701399","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6419854003","display_name":null,"funder_award_id":"42061064","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4282598199.pdf","grobid_xml":"https://content.openalex.org/works/W4282598199.grobid-xml"},"referenced_works_count":73,"referenced_works":["https://openalex.org/W1544574920","https://openalex.org/W1964940342","https://openalex.org/W1982867473","https://openalex.org/W1990653740","https://openalex.org/W2001510610","https://openalex.org/W2008056655","https://openalex.org/W2014983920","https://openalex.org/W2024689500","https://openalex.org/W2026944355","https://openalex.org/W2042645898","https://openalex.org/W2064578974","https://openalex.org/W2070604790","https://openalex.org/W2078619499","https://openalex.org/W2082874195","https://openalex.org/W2084616221","https://openalex.org/W2091921805","https://openalex.org/W2099302229","https://openalex.org/W2099648072","https://openalex.org/W2106595237","https://openalex.org/W2114828048","https://openalex.org/W2128160875","https://openalex.org/W2130363378","https://openalex.org/W2139440613","https://openalex.org/W2150280378","https://openalex.org/W2161856360","https://openalex.org/W2165698076","https://openalex.org/W2182647267","https://openalex.org/W2188591201","https://openalex.org/W2296719434","https://openalex.org/W2307094448","https://openalex.org/W2344186514","https://openalex.org/W2531168480","https://openalex.org/W2581906016","https://openalex.org/W2586337417","https://openalex.org/W2606436201","https://openalex.org/W2742878349","https://openalex.org/W2755013453","https://openalex.org/W2767953525","https://openalex.org/W2802183958","https://openalex.org/W2889855674","https://openalex.org/W2896998982","https://openalex.org/W2899638272","https://openalex.org/W2963131120","https://openalex.org/W2964105864","https://openalex.org/W2976120863","https://openalex.org/W2981830988","https://openalex.org/W2986816104","https://openalex.org/W2989109473","https://openalex.org/W3011118018","https://openalex.org/W3013338014","https://openalex.org/W3013368467","https://openalex.org/W3014372673","https://openalex.org/W3034368386","https://openalex.org/W3041133507","https://openalex.org/W3045331167","https://openalex.org/W3087408166","https://openalex.org/W3090679658","https://openalex.org/W3095270930","https://openalex.org/W3095867871","https://openalex.org/W3097950130","https://openalex.org/W3104917574","https://openalex.org/W3125311201","https://openalex.org/W3125914437","https://openalex.org/W3138154797","https://openalex.org/W3155296486","https://openalex.org/W3159431528","https://openalex.org/W3160553908","https://openalex.org/W3173608877","https://openalex.org/W3192834253","https://openalex.org/W4249358576","https://openalex.org/W6687370692","https://openalex.org/W6754497126","https://openalex.org/W6799564061"],"related_works":["https://openalex.org/W2182136398","https://openalex.org/W2347413598","https://openalex.org/W2319693127","https://openalex.org/W308539617","https://openalex.org/W2032415964","https://openalex.org/W2014214435","https://openalex.org/W3049200503","https://openalex.org/W2591622283","https://openalex.org/W2052451333","https://openalex.org/W3141827490"],"abstract_inverted_index":{"Satellite":[0],"Image":[1],"Time":[2,113],"Series":[3],"(SITS)":[4],"record":[5],"the":[6,27,59,66,84,89,135,148,160,196,199,212,220],"continuous":[7],"temporal":[8],"behavior":[9],"of":[10,61,68,88,134,137,143,167,174,198,214],"land":[11,22],"cover":[12,23],"types":[13],"and":[14,30,54,86,128,171],"thus":[15],"provide":[16],"a":[17,35,77,95,104,122,165],"new":[18],"perspective":[19],"for":[20,183,208],"finer-grained":[21],"classification":[24,107,161,210],"compared":[25],"with":[26,72,76],"usual":[28],"spectral":[29],"spatial":[31],"information":[32,150],"contained":[33,151],"in":[34,46,152],"static":[36],"image.":[37],"In":[38,98],"addition,":[39],"SITS":[40,69,90,106,193,209,216],"data":[41,217],"is":[42,93,130],"becoming":[43],"more":[44],"accessible":[45],"recent":[47],"years":[48],"due":[49],"to":[50,146],"newly":[51],"launched":[52],"satellites":[53],"accumulated":[55],"historical":[56],"data.":[57,222],"However,":[58],"lack":[60,136],"labeled":[62,124,138,221],"training":[63,157],"samples":[64,125,139,158],"limits":[65],"exploration":[67],"data,":[70],"especially":[71],"sophisticated":[73],"methods.":[74],"Even":[75],"straightforward":[78],"classifier,":[79],"such":[80],"as":[81,176],"k-nearest":[82],"neighbor,":[83],"accuracy":[85],"efficiency":[87],"similarity":[91,181],"measure":[92,182],"also":[94,141],"pending":[96],"problem.":[97],"this":[99,129],"paper,":[100],"we":[101],"propose":[102],"SKNN-LB-DTW,":[103,201],"seeded":[105],"method":[108],"based":[109],"on":[110,190],"lower-bounded":[111],"Dynamic":[112],"Warping":[114],"(DTW).":[115],"The":[116,187],"word":[117],"\u201cseeded\u201d":[118],"indicates":[119],"that":[120],"only":[121,132],"few":[123],"are":[126],"required,":[127],"not":[131],"because":[133,142],"but":[140],"our":[144],"aim":[145],"explore":[147],"rich":[149],"SITS,":[153],"rather":[154],"than":[155],"letting":[156],"dominate":[159],"results.":[162],"We":[163],"use":[164],"combination":[166],"cascading":[168],"lower":[169],"bounds":[170],"early":[172],"abandoning":[173],"DTW":[175],"an":[177,205],"accurate":[178],"yet":[179],"efficient":[180],"large":[184],"scale":[185],"tasks.":[186],"experimental":[188],"results":[189],"two":[191],"real":[192],"datasets":[194],"demonstrate":[195],"utility":[197],"proposed":[200],"which":[202],"could":[203],"become":[204],"effective":[206],"solution":[207],"when":[211],"amount":[213],"unlabeled":[215],"far":[218],"exceeds":[219]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}