{"id":"https://openalex.org/W1982956952","doi":"https://doi.org/10.1109/tgrs.2012.2186638","title":"Spatiotemporal Reflectance Fusion via Sparse Representation","display_name":"Spatiotemporal Reflectance Fusion via Sparse Representation","publication_year":2012,"publication_date":"2012-03-14","ids":{"openalex":"https://openalex.org/W1982956952","doi":"https://doi.org/10.1109/tgrs.2012.2186638","mag":"1982956952"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2012.2186638","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2012.2186638","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/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":["Department of Geography and Resource Management and the Institute of Space and Earth Information Science, The Chinese University ofHong Kong, Sha Tin, Hong Kong, China","Dept. of Geogr. & Resource Manage. & Inst. of Space & Earth Inf. Sci. (ISEIS), Chinese Univ. of Hong Kong, Shatin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geography and Resource Management and the Institute of Space and Earth Information Science, The Chinese University ofHong Kong, Sha Tin, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"Dept. of Geogr. & Resource Manage. & Inst. of Space & Earth Inf. Sci. (ISEIS), Chinese Univ. of Hong Kong, Shatin, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100775391","display_name":"Huihui Song","orcid":"https://orcid.org/0000-0002-0751-2354"},"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":"Huihui Song","raw_affiliation_strings":["Department of Geography and Resource Management, Chinese University of Hong Kong, Sha Tin, Hong Kong, China","Dept. of Geogr. & Resource Manage., Chinese Univ. of Hong Kong, Shati, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geography and Resource Management, Chinese University of Hong Kong, Sha Tin, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"Dept. of Geogr. & Resource Manage., Chinese Univ. of Hong Kong, Shati, China","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I177725633"],"apc_list":null,"apc_paid":null,"fwci":16.2773,"has_fulltext":false,"cited_by_count":413,"citation_normalized_percentile":{"value":0.99119151,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"50","issue":"10","first_page":"3707","last_page":"3716"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9987999796867371,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9968000054359436,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.7697951793670654},{"id":"https://openalex.org/keywords/spectroradiometer","display_name":"Spectroradiometer","score":0.6322550773620605},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6177986264228821},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.6124371290206909},{"id":"https://openalex.org/keywords/thematic-mapper","display_name":"Thematic Mapper","score":0.5982216596603394},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5057590007781982},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.4866998493671417},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.4766726791858673},{"id":"https://openalex.org/keywords/reflectivity","display_name":"Reflectivity","score":0.4752081334590912},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.46825656294822693},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.46780136227607727},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4467777907848358},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.4328770041465759},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39992403984069824},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.367795467376709},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22600361704826355},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.202345609664917},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.16463983058929443},{"id":"https://openalex.org/keywords/satellite-imagery","display_name":"Satellite imagery","score":0.13170373439788818}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.7697951793670654},{"id":"https://openalex.org/C130066347","wikidata":"https://www.wikidata.org/wiki/Q680509","display_name":"Spectroradiometer","level":3,"score":0.6322550773620605},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6177986264228821},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.6124371290206909},{"id":"https://openalex.org/C2775938548","wikidata":"https://www.wikidata.org/wiki/Q1565182","display_name":"Thematic Mapper","level":3,"score":0.5982216596603394},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5057590007781982},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.4866998493671417},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.4766726791858673},{"id":"https://openalex.org/C108597893","wikidata":"https://www.wikidata.org/wiki/Q663650","display_name":"Reflectivity","level":2,"score":0.4752081334590912},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.46825656294822693},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.46780136227607727},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4467777907848358},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.4328770041465759},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39992403984069824},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.367795467376709},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22600361704826355},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.202345609664917},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.16463983058929443},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.13170373439788818},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2012.2186638","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2012.2186638","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/15","display_name":"Life in Land","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W106317687","https://openalex.org/W1588320409","https://openalex.org/W1999174140","https://openalex.org/W2040859008","https://openalex.org/W2056811372","https://openalex.org/W2058452082","https://openalex.org/W2082263501","https://openalex.org/W2085880802","https://openalex.org/W2088603520","https://openalex.org/W2091436265","https://openalex.org/W2105090634","https://openalex.org/W2109449402","https://openalex.org/W2109526535","https://openalex.org/W2121058967","https://openalex.org/W2129953395","https://openalex.org/W2133665775","https://openalex.org/W2136401825","https://openalex.org/W2147656689","https://openalex.org/W2149720806","https://openalex.org/W2149760002","https://openalex.org/W2160547390","https://openalex.org/W2162416391","https://openalex.org/W2163398148","https://openalex.org/W2172185514","https://openalex.org/W6604338981","https://openalex.org/W6635077758"],"related_works":["https://openalex.org/W1989739405","https://openalex.org/W2072620969","https://openalex.org/W2342509369","https://openalex.org/W2061775097","https://openalex.org/W2007829065","https://openalex.org/W1980476642","https://openalex.org/W2094383227","https://openalex.org/W2132625770","https://openalex.org/W126272167","https://openalex.org/W2586688824"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,70,152],"novel":[4],"model":[5,51,68],"for":[6,55,73],"blending":[7,62],"remote":[8,75],"sensing":[9,76],"data":[10,61,154,159],"of":[11,33,87,94,107,122,161,182,201,211],"high":[12],"spatial":[13,27],"resolution":[14,28],"(HSR),":[15],"taken":[16],"at":[17,25,143],"infrequent":[18],"intervals,":[19],"with":[20,63,78,175,186,192],"those":[21],"available":[22],"frequently":[23],"but":[24],"low":[26],"(LSR)":[29],"in":[30,38,203],"the":[31,50,123,144,199],"context":[32],"monitoring":[34],"and":[35,41,110,135,140,156,189],"predicting":[36,56],"changes":[37,207],"land":[39],"usage":[40],"phenology.":[42],"Named":[43],"\u201cSParse-representation-based":[44],"SpatioTemporal":[45],"reflectance":[46,80,206],"Fusion":[47],"Model\u201d":[48],"(SPSTFM),":[49],"has":[52],"been":[53],"developed":[54],"HSR":[57,105,134],"surface":[58,205],"reflectances":[59],"through":[60],"LSR":[64,113,136],"scenes.":[65],"Remarkably,":[66],"this":[67],"forms":[69],"unified":[71],"framework":[72],"fusing":[74],"images":[77,106,184,190],"temporal":[79],"changes,":[81],"phenology":[82,187],"change":[83,86,91,188],"(e.g.,":[84,92],"seasonal":[85],"vegetation),":[88],"or":[89],"type":[90,194],"conversion":[93],"farmland":[95],"to":[96],"built-up":[97],"area),":[98],"by":[99,120,127],"establishing":[100],"correspondences":[101],"between":[102],"structures":[103],"within":[104],"given":[108],"areas":[109],"their":[111],"corresponding":[112,116],"images.":[114,212],"Such":[115],"relationship":[117],"is":[118],"achieved":[119],"means":[121],"sparse":[124,141],"representation,":[125],"specifically":[126],"jointly":[128],"training":[129],"two":[130,180],"dictionaries":[131],"generated":[132],"from":[133],"difference":[137],"image":[138],"patches":[139],"coding":[142],"reconstruction":[145],"stage.":[146],"SPSTFM":[147,202],"was":[148,172],"tested":[149],"using":[150],"both":[151,209],"simulated":[153],"set":[155,160],"an":[157],"actual":[158],"Landsat":[162],"Enhanced":[163],"Thematic":[164],"Mapper":[165],"Plus-Moderate":[166],"Resolution":[167],"Imaging":[168],"Spectroradiometer":[169],"acquisitions.":[170],"It":[171],"also":[173],"compared":[174],"other":[176],"related":[177],"algorithms":[178],"on":[179,208],"types":[181],"data:":[183],"primarily":[185,191],"land-cover":[193],"change.":[195],"Experimental":[196],"results":[197],"demonstrate":[198],"superiority":[200],"capturing":[204],"categories":[210]},"counts_by_year":[{"year":2026,"cited_by_count":12},{"year":2025,"cited_by_count":30},{"year":2024,"cited_by_count":43},{"year":2023,"cited_by_count":53},{"year":2022,"cited_by_count":66},{"year":2021,"cited_by_count":44},{"year":2020,"cited_by_count":44},{"year":2019,"cited_by_count":22},{"year":2018,"cited_by_count":30},{"year":2017,"cited_by_count":15},{"year":2016,"cited_by_count":20},{"year":2015,"cited_by_count":13},{"year":2014,"cited_by_count":12},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":1}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}