A Novel Remote Sensing Spatiotemporal Data Fusion Framework Based on the Combination of Deep-Learning Downscaling and Traditional Fusion Algorithm
Author:
Affiliation:
1. School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo, China
2. Handan Guangkai Land Planning and Design Company Ltd., Handan, China
Funder
National Natural Science Foundation of China
Natural Science Foundation of Henan Polytechnic University
Henan Province Science and Technology Research
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/4609443/10330207/10480541.pdf?arnumber=10480541
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3. Remote sensing estimation on yield of winter wheat in North China based on convolutional neural network;Zhou;Trans. Chin. Soc. Agricultural Eng.,2019
4. Vegetation phenology in the Tibetan plateau using MODIS data from 2000 to 2010;Liu;Remote Sens. Inf.,2014
5. Spatio–Temporal–Spectral Collaborative Learning for Spatio–Temporal Fusion with Land Cover Changes
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