{"id":"https://openalex.org/W1588434184","doi":"https://doi.org/10.1109/tgrs.2015.2448100","title":"An Error-Bound-Regularized Sparse Coding for Spatiotemporal Reflectance Fusion","display_name":"An Error-Bound-Regularized Sparse Coding for Spatiotemporal Reflectance Fusion","publication_year":2015,"publication_date":"2015-07-16","ids":{"openalex":"https://openalex.org/W1588434184","doi":"https://doi.org/10.1109/tgrs.2015.2448100","mag":"1588434184"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2015.2448100","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2015.2448100","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/A5058815931","display_name":"Bo Wu","orcid":"https://orcid.org/0000-0002-8911-1625"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Wu","raw_affiliation_strings":["Ministry of Education Key Laboratory of Spatial Data Mining and Information Sharing, Fuzhou University, Fuzhou, China","Minist. of Educ. Key Lab. of Spatial Data Min. & Inf. Sharing, Fuzhou Univ., Fuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ministry of Education Key Laboratory of Spatial Data Mining and Information Sharing, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]},{"raw_affiliation_string":"Minist. of Educ. Key Lab. of Spatial Data Min. & Inf. Sharing, Fuzhou Univ., Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100705731","display_name":"Bo Huang","orcid":"https://orcid.org/0000-0002-5063-3522"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Bo Huang","raw_affiliation_strings":["Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Shatin, Hong Kong","Inst. of Space & Earth Inf. Sci., Chinese Univ. of Hong Kong, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Shatin, Hong Kong","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"Inst. of Space & Earth Inf. Sci., Chinese Univ. of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100673818","display_name":"Liangpei Zhang","orcid":"https://orcid.org/0000-0001-6890-3650"},"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"]},{"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangpei Zhang","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China","State Key Lab. of Inf. Eng. in Surveying, Mapping & Remote Sensing, Wuhan Univ., Wuhan, , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]},{"raw_affiliation_string":"State Key Lab. of Inf. Eng. in Surveying, Mapping & Remote Sensing, Wuhan Univ., Wuhan, , China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.3718,"has_fulltext":false,"cited_by_count":73,"citation_normalized_percentile":{"value":0.94145814,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"53","issue":"12","first_page":"6791","last_page":"6803"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","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/T11659","display_name":"Advanced Image Fusion Techniques","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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9983999729156494,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9972000122070312,"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/sparse-approximation","display_name":"Sparse approximation","score":0.662710964679718},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.6269910931587219},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6267108917236328},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5437847375869751},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5250601172447205},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5163139700889587},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.502018928527832},{"id":"https://openalex.org/keywords/thematic-mapper","display_name":"Thematic Mapper","score":0.447349488735199},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.435005247592926},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.4199650287628174},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4128248691558838},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.41246336698532104},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.39328649640083313},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.307040810585022},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.152091383934021}],"concepts":[{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.662710964679718},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.6269910931587219},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6267108917236328},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5437847375869751},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5250601172447205},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5163139700889587},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.502018928527832},{"id":"https://openalex.org/C2775938548","wikidata":"https://www.wikidata.org/wiki/Q1565182","display_name":"Thematic Mapper","level":3,"score":0.447349488735199},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.435005247592926},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.4199650287628174},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4128248691558838},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.41246336698532104},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.39328649640083313},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.307040810585022},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.152091383934021},{"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/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2015.2448100","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2015.2448100","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/G5205436099","display_name":null,"funder_award_id":"2015J01163","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"},{"id":"https://openalex.org/G7881970412","display_name":null,"funder_award_id":"41401488","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/F4320321878","display_name":"Natural Science Foundation of Fujian Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W189742998","https://openalex.org/W1593532658","https://openalex.org/W1982956952","https://openalex.org/W1985967702","https://openalex.org/W2027776168","https://openalex.org/W2047066533","https://openalex.org/W2050565140","https://openalex.org/W2055007440","https://openalex.org/W2056811372","https://openalex.org/W2063978378","https://openalex.org/W2070205775","https://openalex.org/W2085805928","https://openalex.org/W2088603520","https://openalex.org/W2100556411","https://openalex.org/W2120824855","https://openalex.org/W2121058967","https://openalex.org/W2122825543","https://openalex.org/W2124331852","https://openalex.org/W2125865219","https://openalex.org/W2133665775","https://openalex.org/W2140262144","https://openalex.org/W2153831373","https://openalex.org/W2154772499","https://openalex.org/W2158815628","https://openalex.org/W2160547390","https://openalex.org/W2164943663","https://openalex.org/W2165577558","https://openalex.org/W2212660284","https://openalex.org/W2235249707","https://openalex.org/W2950476412","https://openalex.org/W6607672814","https://openalex.org/W6678025836","https://openalex.org/W6678421882","https://openalex.org/W6678814708","https://openalex.org/W6683401423","https://openalex.org/W6688325169","https://openalex.org/W6689953848"],"related_works":["https://openalex.org/W2890544631","https://openalex.org/W2067062989","https://openalex.org/W3004790527","https://openalex.org/W4205656132","https://openalex.org/W2998105788","https://openalex.org/W2539392819","https://openalex.org/W2111634407","https://openalex.org/W2783282829","https://openalex.org/W2579633471","https://openalex.org/W2203155458"],"abstract_inverted_index":{"This":[0],"paper":[1],"attempts":[2],"to":[3,26,34,48,64,107],"demonstrate":[4],"that":[5],"addressing":[6],"the":[7,11,15,36,45,66,69,77,109,121,134,138],"dictionary":[8,37,46,61],"perturbations":[9,38,47],"and":[10,43,71,74,99,114,120,127,150,154],"individual":[12],"representation":[13],"of":[14,92,137],"coupled":[16],"images":[17],"can":[18],"generally":[19],"result":[20],"in":[21,146],"positive":[22,135],"effects":[23],"with":[24,39,143],"respect":[25],"sparse-representation-based":[27],"spatiotemporal":[28],"reflectance":[29,117],"fusion":[30,118],"(SPTM).":[31],"We":[32],"propose":[33,76],"adapt":[35],"an":[40,85],"error-bound-regularized":[41,78],"method":[42],"formulate":[44],"be":[49],"a":[50],"sparse":[51],"elastic":[52],"net":[53],"regression":[54],"problem.":[55],"Moreover,":[56],"we":[57,75],"also":[58,83,125],"utilize":[59],"semi-coupled":[60],"learning":[62],"(SCDL)":[63],"address":[65],"differences":[67,145],"between":[68],"high-spatial-resolution":[70],"low-spatial-resolution":[72],"images,":[73],"SCDL":[79],"(EBSCDL)":[80],"model":[81,119],"by":[82],"imposing":[84],"error":[86],"bound":[87],"regularization.":[88],"Two":[89],"data":[90,98],"sets":[91],"Landsat":[93],"Enhanced":[94],"Thematic":[95],"Mapper":[96],"Plus":[97],"Moderate":[100],"Resolution":[101],"Imaging":[102],"Spectroradiometer":[103],"acquisitions":[104],"were":[105,124],"used":[106],"validate":[108],"proposed":[110,139],"models.":[111],"The":[112,129],"spatial":[113],"temporal":[115],"adaptive":[116],"original":[122],"SPTM":[123],"implemented":[126],"compared.":[128],"experimental":[130],"results":[131],"consistently":[132],"show":[133],"effect":[136],"methods":[140],"for":[141],"SPTM,":[142],"smaller":[144],"scatter":[147],"plot":[148],"distribution":[149],"higher":[151],"peak-signal-to-noise":[152],"ratio":[153],"structural":[155],"similarity":[156],"index":[157],"measures.":[158]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":5}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}