{"id":"https://openalex.org/W4402259181","doi":"https://doi.org/10.1109/igarss53475.2024.10641085","title":"Fusion of Optical and SAR Images Via NDVI-Like Images to Reconstruct NDVI Time Series in Cloud-Prone Regions","display_name":"Fusion of Optical and SAR Images Via NDVI-Like Images to Reconstruct NDVI Time Series in Cloud-Prone Regions","publication_year":2024,"publication_date":"2024-07-07","ids":{"openalex":"https://openalex.org/W4402259181","doi":"https://doi.org/10.1109/igarss53475.2024.10641085"},"language":"en","primary_location":{"id":"doi:10.1109/igarss53475.2024.10641085","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss53475.2024.10641085","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International 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/A5053246046","display_name":"Yuyun Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuyun Liang","raw_affiliation_strings":["China University of Geosciences,School of Computer Science,Wuhan,China,430074"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China University of Geosciences,School of Computer Science,Wuhan,China,430074","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113580185","display_name":"Yong Deng","orcid":"https://orcid.org/0009-0009-1016-3499"},"institutions":[{"id":"https://openalex.org/I4210090238","display_name":"Changjiang Institute of Survey, Planning, Design and Research","ror":"https://ror.org/00bh8v131","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210090238"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Deng","raw_affiliation_strings":["Planning, Design and Research,Changjiang Institute of Survey,Wuhan,China,430010"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Planning, Design and Research,Changjiang Institute of Survey,Wuhan,China,430010","institution_ids":["https://openalex.org/I4210090238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100362041","display_name":"Jun Li","orcid":"https://orcid.org/0000-0003-1613-9448"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Li","raw_affiliation_strings":["China University of Geosciences,School of Computer Science,Wuhan,China,430074"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China University of Geosciences,School of Computer Science,Wuhan,China,430074","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100461870","display_name":"Yunfei Li","orcid":"https://orcid.org/0000-0003-1734-5008"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunfei Li","raw_affiliation_strings":["Sun Yat-sen University,School of Geography and Planning,Guangzhou,China,510275"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University,School of Geography and Planning,Guangzhou,China,510275","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100373534","display_name":"Fan Li","orcid":"https://orcid.org/0000-0001-5077-8118"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Li","raw_affiliation_strings":["China University of Geosciences,School of Computer Science,Wuhan,China,430074"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China University of Geosciences,School of Computer Science,Wuhan,China,430074","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002395584","display_name":"Shaoquan Zhang","orcid":"https://orcid.org/0000-0002-1454-9665"},"institutions":[{"id":"https://openalex.org/I141103825","display_name":"Jiangxi University of Water Resources and Electric Power","ror":"https://ror.org/00avfj807","country_code":"CN","type":"education","lineage":["https://openalex.org/I141103825"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaoquan Zhang","raw_affiliation_strings":["Nanchang Institute of Technology,Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing, School of Information Engineering,Nanchang,China,330099"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanchang Institute of Technology,Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing, School of Information Engineering,Nanchang,China,330099","institution_ids":["https://openalex.org/I141103825"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"9307","last_page":"9310"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9984999895095825,"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":0.9984999895095825,"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":0.9933000206947327,"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":0.9923999905586243,"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/series","display_name":"Series (stratigraphy)","score":0.6666743755340576},{"id":"https://openalex.org/keywords/normalized-difference-vegetation-index","display_name":"Normalized Difference Vegetation Index","score":0.6631196737289429},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6575710773468018},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5403608679771423},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.48422908782958984},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4826138913631439},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.476046085357666},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47209233045578003},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3268333077430725},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2537930905818939},{"id":"https://openalex.org/keywords/climate-change","display_name":"Climate change","score":0.1079680323600769},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.09435570240020752}],"concepts":[{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6666743755340576},{"id":"https://openalex.org/C1549246","wikidata":"https://www.wikidata.org/wiki/Q718775","display_name":"Normalized Difference Vegetation Index","level":3,"score":0.6631196737289429},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6575710773468018},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5403608679771423},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.48422908782958984},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4826138913631439},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.476046085357666},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47209233045578003},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3268333077430725},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2537930905818939},{"id":"https://openalex.org/C132651083","wikidata":"https://www.wikidata.org/wiki/Q7942","display_name":"Climate change","level":2,"score":0.1079680323600769},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.09435570240020752},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss53475.2024.10641085","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss53475.2024.10641085","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2121401610","https://openalex.org/W2778936354","https://openalex.org/W2980091708","https://openalex.org/W2984811207","https://openalex.org/W3035805339","https://openalex.org/W3036119463","https://openalex.org/W3193406951","https://openalex.org/W3208641988","https://openalex.org/W3217289292","https://openalex.org/W4283271954","https://openalex.org/W4283576127","https://openalex.org/W6803524230"],"related_works":["https://openalex.org/W3207046288","https://openalex.org/W3023446922","https://openalex.org/W4324030030","https://openalex.org/W1980260791","https://openalex.org/W4385533602","https://openalex.org/W3189212133","https://openalex.org/W4382239404","https://openalex.org/W2053086167","https://openalex.org/W4382519838","https://openalex.org/W2803445926"],"abstract_inverted_index":{"Normalized":[0],"Difference":[1],"Vegetation":[2],"Index":[3],"(NDVI)":[4],"data":[5,71],"from":[6,69],"optical":[7,54,65,96,123,166],"satellites":[8],"have":[9],"been":[10,62],"widely":[11],"used":[12],"in":[13,152],"the":[14,39,75,99,106,122,132,141,148,159,170,175,176],"field":[15],"of":[16,77,115,178],"remote":[17],"sensing.":[18],"However,":[19,64],"due":[20],"to":[21,37,92,146],"cloud":[22],"cover":[23],"and":[24,55,118,131,134,186],"other":[25],"extreme":[26],"weather":[27,44],"reasons,":[28],"NDVI":[29,47,119,149,171],"time":[30,48,136,142,150],"series":[31,49,137,143,151],"are":[32,138],"often":[33,67],"missing.":[34],"In":[35],"order":[36],"fill":[38],"observation":[40],"gap":[41],"under":[42],"severe":[43],"conditions,":[45],"an":[46],"reconstruction":[50,79,144,172,184,189],"method":[51],"that":[52,158],"fuses":[53],"synthetic":[56],"aperture":[57],"radar":[58],"(SAR)":[59],"images":[60,66,103,117],"has":[61,156],"developed.":[63],"suffer":[68],"long-term":[70],"missing,":[72],"severely":[73],"limiting":[74],"usability":[76],"this":[78,83,85],"method.":[80],"To":[81],"solve":[82],"problem,":[84],"paper":[86],"proposes":[87],"a":[88],"NDVI-like":[89,102,129,135,160],"image":[90,124,161,167,180],"strategy":[91,100,162],"avoid":[93],"reliance":[94],"on":[95,183],"data.":[97],"Specifically,":[98],"obtains":[101],"by":[104,128],"fitting":[105],"multivariate":[107],"linear":[108],"relationship":[109],"between":[110],"VV,":[111],"VH":[112],"polarization":[113],"bands":[114],"SAR":[116,133,179],"images.":[120],"Then,":[121],"information":[125,168],"is":[126],"represented":[127],"images,":[130],"input":[139],"into":[140],"network":[145],"reconstruct":[147],"cloudy":[153],"areas.":[154],"Experimentation":[155],"revealed":[157],"can":[163],"effectively":[164],"supplements":[165],"for":[169],"network,":[173],"reduce":[174],"influence":[177],"speckle":[181],"noise":[182],"outcomes,":[185],"obtain":[187],"better":[188],"effects.":[190]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4}],"updated_date":"2026-07-17T09:13:05.818461","created_date":"2025-10-10T00:00:00"}