{"title":"一种结合深度学习降尺度和FSDAF方法的时空融合新方法","authors":"Dunyue Cui, Zhichao Chen, Shidong Wang","doi":"10.1080/2150704x.2023.2288068","DOIUrl":null,"url":null,"abstract":"Flexible spatio-temporal data fusion (FSDAF) is usually used to fuse high spatial resolution images with ordinary up-sampling methods processed low spatial resolution images. However, ordinary up-s...","PeriodicalId":49132,"journal":{"name":"Remote Sensing Letters","volume":null,"pages":null},"PeriodicalIF":1.4000,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A novel spatio-temporal fusion approach combining deep learning downscaling and FSDAF method\",\"authors\":\"Dunyue Cui, Zhichao Chen, Shidong Wang\",\"doi\":\"10.1080/2150704x.2023.2288068\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Flexible spatio-temporal data fusion (FSDAF) is usually used to fuse high spatial resolution images with ordinary up-sampling methods processed low spatial resolution images. However, ordinary up-s...\",\"PeriodicalId\":49132,\"journal\":{\"name\":\"Remote Sensing Letters\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2023-11-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Remote Sensing Letters\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1080/2150704x.2023.2288068\",\"RegionNum\":4,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Remote Sensing Letters","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/2150704x.2023.2288068","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY","Score":null,"Total":0}
A novel spatio-temporal fusion approach combining deep learning downscaling and FSDAF method
Flexible spatio-temporal data fusion (FSDAF) is usually used to fuse high spatial resolution images with ordinary up-sampling methods processed low spatial resolution images. However, ordinary up-s...
期刊介绍：
Remote Sensing Letters is a peer-reviewed international journal committed to the rapid publication of articles advancing the science and technology of remote sensing as well as its applications. The journal originates from a successful section, of the same name, contained in the International Journal of Remote Sensing from 1983 –2009. Articles may address any aspect of remote sensing of relevance to the journal’s readership, including – but not limited to – developments in sensor technology, advances in image processing and Earth-orientated applications, whether terrestrial, oceanic or atmospheric. Articles should make a positive impact on the subject by either contributing new and original information or through provision of theoretical, methodological or commentary material that acts to strengthen the subject.
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