Explicit and stepwise models for spatiotemporal fusion of remote sensing images with deep neural networks-Reference-Cited by-同舟云学术

Explicit and stepwise models for spatiotemporal fusion of remote sensing images with deep neural networks

Published:2021-12 Issue: Volume:105 Page:102611
ISSN:0303-2434
Container-title:International Journal of Applied Earth Observation and Geoinformation
language:en
Short-container-title:International Journal of Applied Earth Observation and Geoinformation

Author:

Ma Yaobin,Wei Jingbo,Tang Wenchao,Tang Rongxin

Funder

National Natural Science Foundation of China

Jiangxi Province Department of Science and Technology

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference34 articles.

2. Cyclegan-stf: Spatiotemporal fusion via cyclegan-based image generation;Chen;IEEE Trans. Geosci. Remote Sens.,2020

4. A remote sensing spatiotemporal fusion model of landsat and modis data via deep learning;Dai,2018

Cited by 20 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

3. A CNN-Transformer Combined Remote Sensing Imagery Spatiotemporal Fusion Model;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024