MSFusion: Multistage for Remote Sensing Image Spatiotemporal Fusion Based on Texture Transformer and Convolutional Neural Network

MSFusion: Multistage for Remote Sensing Image Spatiotemporal Fusion Based on Texture Transformer and Convolutional Neural Network

Due to the limitations of current technology and budget, a single satellite sensor cannot obtain high spatiotemporal resolution remote sensing images. Therefore, remote sensing image spatio-temporal fusion technology is considered as an effective solution and has attracted extensive attention. In th...

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Bibliographic Details
Main Authors: Guangqi Yang, Yurong Qian, Hui Liu, Bochuan Tang, Ranran Qi, Yi Lu, Jun Geng
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Multistage feature fusion
multitemporal remote sensing data
remote sensing
self-attention
spatiotemporal fusion
transformer
Online Access:https://ieeexplore.ieee.org/document/9786792/

Internet

https://ieeexplore.ieee.org/document/9786792/

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