{"id":"https://openalex.org/W2055530115","doi":"https://doi.org/10.1109/igarss.2014.6946990","title":"Spatial and temporal image fusion for time series modis data and multi-sensors medium resoultion data","display_name":"Spatial and temporal image fusion for time series modis data and multi-sensors medium resoultion data","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2055530115","doi":"https://doi.org/10.1109/igarss.2014.6946990","mag":"2055530115"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2014.6946990","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2014.6946990","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100403897","display_name":"Xiaoqin Wang","orcid":"https://orcid.org/0000-0002-9724-8859"},"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":"Xiaoqin Wang","raw_affiliation_strings":["Information Sharing of Ministry of Education, Fuzhou University, Fuzhou, P.R. China","Key Lab. of Spatial Data Mining & Information Sharing of Ministry of Education, Spatial Information Research Center of Fujian Province, Fuzhou University, No.523, Gongye Rd. Fuzhou 350002, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Sharing of Ministry of Education, Fuzhou University, Fuzhou, P.R. China","institution_ids":["https://openalex.org/I80947539"]},{"raw_affiliation_string":"Key Lab. of Spatial Data Mining & Information Sharing of Ministry of Education, Spatial Information Research Center of Fujian Province, Fuzhou University, No.523, Gongye Rd. Fuzhou 350002, P.R. China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074635074","display_name":"Chen Xiangan","orcid":"https://orcid.org/0000-0002-6171-8564"},"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":"Xiangan Chen","raw_affiliation_strings":["Information Sharing of Ministry of Education, Fuzhou University, Fuzhou, P.R. China","Key Lab. of Spatial Data Mining & Information Sharing of Ministry of Education, Spatial Information Research Center of Fujian Province, Fuzhou University, No.523, Gongye Rd. Fuzhou 350002, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Sharing of Ministry of Education, Fuzhou University, Fuzhou, P.R. China","institution_ids":["https://openalex.org/I80947539"]},{"raw_affiliation_string":"Key Lab. of Spatial Data Mining & Information Sharing of Ministry of Education, Spatial Information Research Center of Fujian Province, Fuzhou University, No.523, Gongye Rd. Fuzhou 350002, P.R. China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100386304","display_name":"Lu Li","orcid":"https://orcid.org/0000-0001-9823-0565"},"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":"Lu Li","raw_affiliation_strings":["Information Sharing of Ministry of Education, Fuzhou University, Fuzhou, P.R. China","Key Lab. of Spatial Data Mining & Information Sharing of Ministry of Education, Spatial Information Research Center of Fujian Province, Fuzhou University, No.523, Gongye Rd. Fuzhou 350002, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Sharing of Ministry of Education, Fuzhou University, Fuzhou, P.R. China","institution_ids":["https://openalex.org/I80947539"]},{"raw_affiliation_string":"Key Lab. of Spatial Data Mining & Information Sharing of Ministry of Education, Spatial Information Research Center of Fujian Province, Fuzhou University, No.523, Gongye Rd. Fuzhou 350002, P.R. China","institution_ids":["https://openalex.org/I80947539"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I80947539"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.202389,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"74","issue":null,"first_page":"2538","last_page":"2541"},"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":0.998199999332428,"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":0.9925000071525574,"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/image-resolution","display_name":"Image resolution","score":0.7673004865646362},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.7226099967956543},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.6305525302886963},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.6063860058784485},{"id":"https://openalex.org/keywords/temporal-resolution","display_name":"Temporal resolution","score":0.6002993583679199},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5739501118659973},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5198264718055725},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5011816024780273},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.46164029836654663},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.425546258687973},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3867444694042206},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34509706497192383},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.19566687941551208},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.15081527829170227},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06216272711753845},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.05602267384529114}],"concepts":[{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.7673004865646362},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.7226099967956543},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.6305525302886963},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.6063860058784485},{"id":"https://openalex.org/C119666444","wikidata":"https://www.wikidata.org/wiki/Q5977280","display_name":"Temporal resolution","level":2,"score":0.6002993583679199},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5739501118659973},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5198264718055725},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5011816024780273},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.46164029836654663},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.425546258687973},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3867444694042206},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34509706497192383},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.19566687941551208},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.15081527829170227},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06216272711753845},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.05602267384529114},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2014.6946990","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2014.6946990","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2011643675","https://openalex.org/W2053317173","https://openalex.org/W2056811372","https://openalex.org/W2081399384","https://openalex.org/W2082263501","https://openalex.org/W2088603520"],"related_works":["https://openalex.org/W2554736181","https://openalex.org/W1966472837","https://openalex.org/W2071207587","https://openalex.org/W4320807967","https://openalex.org/W2039246943","https://openalex.org/W2128760873","https://openalex.org/W4249245269","https://openalex.org/W2162127469","https://openalex.org/W2047961797","https://openalex.org/W1976426447"],"abstract_inverted_index":{"Image":[0],"fusion":[1,103],"plays":[2],"an":[3],"important":[4],"role":[5],"for":[6,116],"integrated":[7,128],"usage":[8],"of":[9,18,73,82,132,141],"remotely":[10],"sensed":[11],"data":[12,119,122],"from":[13,123],"multi-sensors.":[14],"Spectral":[15],"response":[16,108],"functions":[17],"different":[19],"satellite":[20],"sensors":[21],"are":[22,37,65,84,92],"used":[23,66,85,115],"to":[24,27,39],"normalize":[25],"and":[26,60,70,96,110,120,138],"eliminate":[28],"the":[29,34,41,52,102,129,133,142],"difference":[30],"between":[31],"sensors.":[32],"Then":[33],"ESTARFM":[35],"model":[36],"applied":[38],"yield":[40],"time":[42,87],"series":[43,88],"high":[44,134,143],"frequent":[45],"images":[46,64,77,137],"with":[47,78],"fine":[48],"spatial":[49,80,130,135],"resolution.":[50],"In":[51],"experiments,":[53],"one":[54],"cloud-free":[55,74],"IRS":[56],"P6":[57],"LISS":[58],"image":[59,127],"two":[61],"Landsat":[62],"TM":[63],"as":[67,86],"fine-resolution":[68,121],"data,":[69],"11":[71],"scenes":[72],"MODIS":[75,118],"L1B":[76],"a":[79],"resolution":[81,136,145],"250m":[83],"data.":[89],"Fused":[90],"results":[91,99],"evaluated":[93],"both":[94],"qualitatively":[95],"quantitatively.":[97],"The":[98,125],"show":[100],"that,":[101],"algorithm":[104],"based":[105],"on":[106],"spectral":[107],"function":[109],"ESTRAFM":[111],"can":[112],"be":[113],"well":[114],"merging":[117],"multisensors.":[124],"predicted":[126],"advantages":[131,140],"temporal":[139,144],"images.":[146]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}