PSTAF-GAN: Progressive Spatio-Temporal Attention Fusion Method Based on Generative Adversarial Network
Author:
Affiliation:
1. Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China
2. College of Electrical and Information Engineering, Hunan University, Changsha, China
Funder
National Natural Science Foundation of China
Natural Science Foundation of Zhejiang Province
Fellowship of China Postdoctoral Science Foundation
K. C. Wong Magna Fund in Ningbo University
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/9633014/09740577.pdf?arnumber=9740577
Reference53 articles.
1. StfNet: A Two-Stream Convolutional Neural Network for Spatiotemporal Image Fusion
2. DMNet: A Network Architecture Using Dilated Convolution and Multiscale Mechanisms for Spatiotemporal Fusion of Remote Sensing Images
3. Spatiotemporal Satellite Image Fusion Through One-Pair Image Learning
4. Spatiotemporal Reflectance Fusion via Sparse Representation
5. An Integrated Framework for the Spatio–Temporal–Spectral Fusion of Remote Sensing Images
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