{"id":"https://openalex.org/W2920866345","doi":"https://doi.org/10.3390/rs11060634","title":"Object-Based Window Strategy in Thermal Sharpening","display_name":"Object-Based Window Strategy in Thermal Sharpening","publication_year":2019,"publication_date":"2019-03-15","ids":{"openalex":"https://openalex.org/W2920866345","doi":"https://doi.org/10.3390/rs11060634","mag":"2920866345"},"language":"en","primary_location":{"id":"doi:10.3390/rs11060634","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11060634","pdf_url":"https://www.mdpi.com/2072-4292/11/6/634/pdf?version=1552643301","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/2072-4292/11/6/634/pdf?version=1552643301","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101426849","display_name":"Haiping Xia","orcid":"https://orcid.org/0009-0008-2396-1038"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiping Xia","raw_affiliation_strings":["State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100716311","display_name":"Yunhao Chen","orcid":"https://orcid.org/0000-0001-7926-7303"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yunhao Chen","raw_affiliation_strings":["State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China"],"raw_orcid":"https://orcid.org/0000-0001-7926-7303","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054306026","display_name":"Jinling Quan","orcid":"https://orcid.org/0000-0001-7745-6418"},"institutions":[{"id":"https://openalex.org/I4210160793","display_name":"Institute of Geographic Sciences and Natural Resources Research","ror":"https://ror.org/04t1cdb72","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinling Quan","raw_affiliation_strings":["State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China","institution_ids":["https://openalex.org/I4210160793"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112559416","display_name":"Jing Li","orcid":"https://orcid.org/0000-0001-9736-5732"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Li","raw_affiliation_strings":["State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China","institution_ids":["https://openalex.org/I25254941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100716311"],"corresponding_institution_ids":["https://openalex.org/I25254941"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.8817,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.70325578,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"11","issue":"6","first_page":"634","last_page":"634"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10766","display_name":"Urban Heat Island Mitigation","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10766","display_name":"Urban Heat Island Mitigation","score":0.9998999834060669,"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/T10226","display_name":"Land Use and Ecosystem Services","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9904000163078308,"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/downscaling","display_name":"Downscaling","score":0.8099161982536316},{"id":"https://openalex.org/keywords/sharpening","display_name":"Sharpening","score":0.709678590297699},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.6751846671104431},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5894147157669067},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4613032937049866},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.45780348777770996},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.43386340141296387},{"id":"https://openalex.org/keywords/object-based","display_name":"Object based","score":0.43249568343162537},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4159417450428009},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.40181639790534973},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2726491689682007},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.20230799913406372},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.18522921204566956}],"concepts":[{"id":"https://openalex.org/C41156917","wikidata":"https://www.wikidata.org/wiki/Q682831","display_name":"Downscaling","level":3,"score":0.8099161982536316},{"id":"https://openalex.org/C2781137444","wikidata":"https://www.wikidata.org/wiki/Q237105","display_name":"Sharpening","level":2,"score":0.709678590297699},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.6751846671104431},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5894147157669067},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4613032937049866},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.45780348777770996},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.43386340141296387},{"id":"https://openalex.org/C3019973339","wikidata":"https://www.wikidata.org/wiki/Q899523","display_name":"Object based","level":3,"score":0.43249568343162537},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4159417450428009},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.40181639790534973},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2726491689682007},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.20230799913406372},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.18522921204566956},{"id":"https://openalex.org/C107054158","wikidata":"https://www.wikidata.org/wiki/Q25257","display_name":"Precipitation","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs11060634","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11060634","pdf_url":"https://www.mdpi.com/2072-4292/11/6/634/pdf?version=1552643301","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:7114d15bde6442b3a1b8caf51817b17d","is_oa":true,"landing_page_url":"https://doaj.org/article/7114d15bde6442b3a1b8caf51817b17d","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 11, Iss 6, p 634 (2019)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/11/6/634/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs11060634","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 11; Issue 6; Pages: 634","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs11060634","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11060634","pdf_url":"https://www.mdpi.com/2072-4292/11/6/634/pdf?version=1552643301","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":0.7900000214576721,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G2447393148","display_name":"\u9065\u611f\u56fe\u50cf\u7684\u5c3a\u5ea6\u4e0d\u53d8\u91cf\u7814\u7a76","funder_award_id":"41571342","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3920770415","display_name":null,"funder_award_id":"41771448","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/F4320321432","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2920866345.pdf","grobid_xml":"https://content.openalex.org/works/W2920866345.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W1628569117","https://openalex.org/W1950112384","https://openalex.org/W1964217023","https://openalex.org/W1972129788","https://openalex.org/W1983154923","https://openalex.org/W1983407123","https://openalex.org/W1990330790","https://openalex.org/W1998079645","https://openalex.org/W2014630223","https://openalex.org/W2018112660","https://openalex.org/W2026640495","https://openalex.org/W2031596845","https://openalex.org/W2037499147","https://openalex.org/W2044609898","https://openalex.org/W2051798177","https://openalex.org/W2052530951","https://openalex.org/W2067542652","https://openalex.org/W2069281949","https://openalex.org/W2088850108","https://openalex.org/W2111496197","https://openalex.org/W2116327754","https://openalex.org/W2118246710","https://openalex.org/W2119204870","https://openalex.org/W2125884013","https://openalex.org/W2129080587","https://openalex.org/W2135431554","https://openalex.org/W2143761504","https://openalex.org/W2212989384","https://openalex.org/W2236545052","https://openalex.org/W2301692565","https://openalex.org/W2529488955","https://openalex.org/W2585293115","https://openalex.org/W2741291720","https://openalex.org/W2790302438","https://openalex.org/W2794423204","https://openalex.org/W2888916943","https://openalex.org/W2891210461","https://openalex.org/W2915231377","https://openalex.org/W6645913581","https://openalex.org/W6754663558"],"related_works":["https://openalex.org/W2394436593","https://openalex.org/W3013458534","https://openalex.org/W3010558748","https://openalex.org/W2526815458","https://openalex.org/W4220911053","https://openalex.org/W2380042710","https://openalex.org/W2329932281","https://openalex.org/W2028903165","https://openalex.org/W2029433073","https://openalex.org/W1520094168"],"abstract_inverted_index":{"The":[0,22,87],"trade-off":[1],"between":[2],"spatial":[3],"and":[4,41,50,72,85,95,102,107,123,194,201,211,219],"temporal":[5],"resolutions":[6],"has":[7],"led":[8],"to":[9,130,170,191,216,231],"the":[10,30,34,99,105,112,118,131,133,136,156,158,171,181,186,198,202,205,217,225,229,239,242],"disaggregation":[11,35],"of":[12,29,197,228],"remotely":[13],"sensed":[14],"land":[15],"surface":[16],"temperatures":[17],"(LSTs)":[18],"for":[19,25,76],"better":[20,161],"applications.":[21],"window":[23,38,43,54,80],"used":[24,49],"regression":[26],"is":[27,89,188],"one":[28],"primary":[31],"factors":[32],"affecting":[33],"accuracy.":[36],"Global":[37],"strategies":[39,44,55],"(GWSs)":[40],"local":[42],"(LWSs)":[45],"have":[46,57],"been":[47,59],"widely":[48],"discussed,":[51],"while":[52],"object-based":[53,243],"(OWSs)":[56],"rarely":[58],"considered.":[60],"Therefore,":[61],"this":[62],"study":[63],"presents":[64],"an":[65,78],"OWS":[66,88,120,134,159,187,203,230],"based":[67],"on":[68],"a":[69,74],"segmentation":[70,247],"algorithm":[71],"provides":[73],"basis":[75],"selecting":[77],"optimal":[79],"size":[81],"balancing":[82],"both":[83,192],"accuracy":[84,138,207],"efficiency.":[86],"tested":[90,110,179],"with":[91,104,111,155,180],"Landsat":[92,113],"8":[93,114],"data":[94,97,115,183],"simulated":[96,182],"via":[98,246],"\u201caggregation-then-disaggregation\u201d":[100],"strategy,":[101],"compared":[103,154],"GWS":[106,193,218],"LWS.":[108],"Results":[109,178],"indicate":[116,184],"that":[117,185],"proposed":[119],"can":[121],"accurately":[122],"efficiently":[124],"generate":[125,232],"high-resolution":[126],"LSTs.":[127],"In":[128],"comparison":[129,215],"GWS,":[132],"improves":[135,204],"mean":[137,206],"by":[139,148,208],"0.19":[140,212],"K":[141,150,210,213],"at":[142],"different":[143],"downscaling":[144,173,199],"ratios,":[145,200],"in":[146,162,175,214],"particular":[147],"0.30":[149],"over":[151,235],"urban":[152],"areas;":[153],"LWS,":[157,220],"performs":[160,166],"most":[163],"cases":[164],"but":[165],"slightly":[167],"worse":[168],"due":[169],"increasing":[172],"ratio":[174],"some":[176],"cases.":[177],"always":[189],"superior":[190],"LWS":[195],"regardless":[196],"0.44":[209],"respectively.":[221],"These":[222],"findings":[223],"suggest":[224],"potential":[226],"ability":[227],"super-high-resolution":[233],"LSTs":[234],"heterogeneous":[236],"regions":[237],"when":[238],"pixels":[240],"within":[241],"windows":[244],"derived":[245],"algorithms":[248],"are":[249],"more":[250],"homogenous.":[251]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2019-03-22T00:00:00"}