Synchronizing Spatiotemporal Reflectance Fusion via Dual Bayesian Nonparametric Inference and Explicit Downsampling-Reference-Cited by-同舟云学术

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Synchronizing Spatiotemporal Reflectance Fusion via Dual Bayesian Nonparametric Inference and Explicit Downsampling

Published:2024-07-07 Issue: Volume: Page:10358-10362
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Container-title:IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Chen Nan¹,Zhang Biao²,He Hongjie³,Liu Zhouzhou¹,Gao Kyle³

Affiliation:

1. Xi'an Aeronautical University,School of Computer Science,Xi’an,China,SX710077

2. Aerial Photogrammetry and Remote Sensing Group Co., Ltd,Xi’an,China,SX710100

3. University of Waterloo,Department of Geography and Environmental Management,Waterloo,Canada,ON N2L 3G1

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10640349/10640352/10642314.pdf?arnumber=10642314

Reference9 articles.

1. A reliable and adaptive spatiotemporal data fusion method for blending multi-spatiotemporal-resolution satellite images

2. SFSDAF: An enhanced FSDAF that incorporates sub-pixel class fraction change information for spatio-temporal image fusion

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

4. Spatiotemporal Fusion of MODIS and Landsat-7 Reflectance Images via Compressed Sensing

5. Beta Process Joint Dictionary Learning for Coupled Feature Spaces with Application to Single Image Super-Resolution

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