A Robust Hybrid Deep Learning Model for Spatiotemporal Image Fusion

A Robust Hybrid Deep Learning Model for Spatiotemporal Image Fusion

Dense time-series remote sensing data with detailed spatial information are highly desired for the monitoring of dynamic earth systems. Due to the sensor tradeoff, most remote sensing systems cannot provide images with both high spatial and temporal resolutions. Spatiotemporal image fusion models pr...

Full description

Bibliographic Details
Main Authors: Zijun Yang, Chunyuan Diao, Bo Li
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Remote Sensing
Subjects:
spatiotemporal fusion
deep learning
CNN
LSTM
phenological change
Online Access:https://www.mdpi.com/2072-4292/13/24/5005

Internet

https://www.mdpi.com/2072-4292/13/24/5005

Similar Items