{"id":"https://openalex.org/W4399768599","doi":"https://doi.org/10.1109/tgrs.2024.3416152","title":"HPLTS-GAN: A High-Precision Remote Sensing Spatiotemporal Fusion Method Based on Low Temporal Sensitivity","display_name":"HPLTS-GAN: A High-Precision Remote Sensing Spatiotemporal Fusion Method Based on Low Temporal Sensitivity","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4399768599","doi":"https://doi.org/10.1109/tgrs.2024.3416152"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3416152","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3416152","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/A5017048122","display_name":"Dajiang Lei","orcid":"https://orcid.org/0000-0002-7482-6417"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dajiang Lei","raw_affiliation_strings":["Chongqing Key Laboratory of Image Cognition, Chongqing University of Posts and Telecommunications, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-7482-6417","affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Image Cognition, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100358083","display_name":"Qianwei Zhu","orcid":"https://orcid.org/0000-0002-5012-8235"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianwei Zhu","raw_affiliation_strings":["Chongqing Key Laboratory of Image Cognition, Chongqing University of Posts and Telecommunications, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Image Cognition, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100680674","display_name":"Yujia Li","orcid":"https://orcid.org/0000-0002-3151-750X"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujia Li","raw_affiliation_strings":["Chongqing Key Laboratory of Image Cognition, Chongqing University of Posts and Telecommunications, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Image Cognition, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111232427","display_name":"Jiayang Tan","orcid":null},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiayang Tan","raw_affiliation_strings":["Chongqing Key Laboratory of Image Cognition, Chongqing University of Posts and Telecommunications, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Image Cognition, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018793284","display_name":"Shuailong Wang","orcid":"https://orcid.org/0009-0001-5785-2517"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuailong Wang","raw_affiliation_strings":["Chongqing Key Laboratory of Image Cognition, Chongqing University of Posts and Telecommunications, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Image Cognition, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101913389","display_name":"Tingting Zhou","orcid":"https://orcid.org/0000-0003-1331-3981"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingting Zhou","raw_affiliation_strings":["Chongqing Key Laboratory of Image Cognition, Chongqing University of Posts and Telecommunications, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Image Cognition, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100426744","display_name":"Liping Zhang","orcid":"https://orcid.org/0000-0002-3045-3073"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liping Zhang","raw_affiliation_strings":["Chongqing Key Laboratory of Image Cognition, Chongqing University of Posts and Telecommunications, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-3045-3073","affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Image Cognition, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I10535382"],"apc_list":null,"apc_paid":null,"fwci":2.2663,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.86759401,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9815000295639038,"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"}},"topics":[{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9815000295639038,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9581000208854675,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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":0.9444000124931335,"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/sensitivity","display_name":"Sensitivity (control systems)","score":0.7078918218612671},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6145449280738831},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5896806120872498},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5312787294387817},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5242876410484314},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3697696924209595},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.18339213728904724},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.13382306694984436}],"concepts":[{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.7078918218612671},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6145449280738831},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5896806120872498},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5312787294387817},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5242876410484314},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3697696924209595},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.18339213728904724},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.13382306694984436},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3416152","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3416152","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":[],"awards":[{"id":"https://openalex.org/G3453920714","display_name":null,"funder_award_id":"62221005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7202444375","display_name":null,"funder_award_id":"62027827","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8238539441","display_name":null,"funder_award_id":"CYS23430","funder_id":"https://openalex.org/F4320335872","funder_display_name":"Chongqing Graduate Student Research Innovation Project"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335872","display_name":"Chongqing Graduate Student Research Innovation Project","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1580389772","https://openalex.org/W1901129140","https://openalex.org/W1970515153","https://openalex.org/W1982956952","https://openalex.org/W2013140666","https://openalex.org/W2031596845","https://openalex.org/W2056811372","https://openalex.org/W2082263501","https://openalex.org/W2088603520","https://openalex.org/W2105307752","https://openalex.org/W2109048734","https://openalex.org/W2194775991","https://openalex.org/W2200350976","https://openalex.org/W2202019762","https://openalex.org/W2519536754","https://openalex.org/W2552447511","https://openalex.org/W2756303373","https://openalex.org/W2780978202","https://openalex.org/W2785884172","https://openalex.org/W2792111852","https://openalex.org/W2793445582","https://openalex.org/W2803121908","https://openalex.org/W2811135961","https://openalex.org/W2892959751","https://openalex.org/W2899675781","https://openalex.org/W2908998459","https://openalex.org/W2914462883","https://openalex.org/W2963372104","https://openalex.org/W2963470893","https://openalex.org/W2971865141","https://openalex.org/W2992343265","https://openalex.org/W3047166575","https://openalex.org/W3088318080","https://openalex.org/W3102533665","https://openalex.org/W3116453415","https://openalex.org/W3123173184","https://openalex.org/W3155490439","https://openalex.org/W3214352118","https://openalex.org/W4220986393","https://openalex.org/W4285283605","https://openalex.org/W4312538978","https://openalex.org/W4388003958","https://openalex.org/W6747881674","https://openalex.org/W6753055032"],"related_works":["https://openalex.org/W2378757965","https://openalex.org/W2121524756","https://openalex.org/W4224903346","https://openalex.org/W1593262897","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2353265673","https://openalex.org/W2031175860","https://openalex.org/W2152662039"],"abstract_inverted_index":{"Remote":[0],"sensing":[1,12,136],"spatiotemporal":[2,81,96],"image":[3,47],"fusion":[4,82,167],"is":[5,91,127],"a":[6,40,79,141,163],"promising":[7],"approach":[8,217],"to":[9,93,112,121,129,147,172],"acquire":[10],"remote":[11,135],"data":[13,64],"with":[14,220],"high":[15,28],"spatial":[16,86,104],"and":[17,44,156,168,178,211],"temporal":[18,34,63],"resolution.":[19],"While":[20],"most":[21],"deep":[22],"neural":[23],"network-based":[24],"models":[25,67,208],"have":[26],"demonstrated":[27],"accuracy,":[29],"they":[30],"heavily":[31],"depend":[32],"on":[33,62],"information":[35,154],"from":[36,192],"the":[37,57,95,103,114,183,187,201],"dataset,":[38],"necessitating":[39],"pair":[41],"of":[42,98,106,175,186],"coarse":[43],"fine":[45],"resolution":[46,132],"sets":[48],"(<inline-formula":[49],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[50],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[51],"<tex-math":[52],"notation=\"LaTeX\">$C_{1}-F_{1}$":[53],"</tex-math></inline-formula>)":[54],"taken":[55],"near":[56],"prediction":[58],"time.":[59,122],"This":[60,109],"reliance":[61],"makes":[65],"these":[66],"challenging":[68],"in":[69,117,134,209],"practical":[70],"applications.":[71],"To":[72],"tackle":[73],"this":[74,76],"challenge,":[75],"study":[77],"introduces":[78],"time-insensitive":[80],"model.":[83],"An":[84],"adaptive":[85],"distribution":[87],"transformation":[88],"(ASDT)":[89],"module":[90,110,146,171],"proposed":[92,202],"enhance":[94],"consistency":[97],"fine-resolution":[99],"images":[100],"by":[101,195],"incorporating":[102],"structure":[105,126],"coarse-resolution":[107],"images.":[108,137],"aims":[111],"improve":[113],"model\u2019s":[115],"performance":[116,185],"tasks":[118],"less":[119],"sensitive":[120],"Furthermore,":[123],"an":[124],"encoding-decoding":[125],"devised":[128],"address":[130],"significant":[131],"variations":[133],"The":[138,160],"encoder":[139],"uses":[140],"multilevel":[142],"feature":[143,158,166],"extraction":[144],"(MLFE)":[145],"capture":[148],"features":[149,174],"at":[150],"multiple":[151],"levels,":[152,180],"reducing":[153],"loss":[155],"enhancing":[157],"utilization.":[159],"decoder":[161],"includes":[162],"cross-scale":[164],"attention":[165],"reconstruction":[169],"(CSAFFIR)":[170],"integrate":[173],"different":[176],"scales":[177],"semantic":[179],"thereby":[181],"improving":[182],"overall":[184],"fused":[188],"image.":[189],"Experimental":[190],"findings":[191],"datasets":[193],"collected":[194],"two":[196],"satellite":[197],"types":[198],"demonstrate":[199],"that":[200],"HPLTS-GAN":[203],"model":[204],"surpasses":[205],"existing":[206],"two-input":[207],"subjective":[210],"objective":[212],"evaluations.":[213],"In":[214],"addition,":[215],"our":[216],"shows":[218],"competitiveness":[219],"current":[221],"three-input":[222],"models.":[223]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}