DTCNet: Transformer-CNN Distillation for Super-Resolution of Remote Sensing Image
Author:
Affiliation:
1. School of Electronics and Information Engineering, Guangdong Ocean University, Zhanjiang, China
2. School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
Funder
National Natural Science Foundation of China
Guangdong University Student Science and Technology Innovation Cultivation Special Fund Support Project
Undergraduate Innovation Team Project of Guangdong Ocean University
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/4609443/10330207/10549773.pdf?arnumber=10549773
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1. Super-resolution reconstruction of a 3 arc-second global DEM dataset
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3. Neighborhood Rough Residual Network–Based Outlier Detection Method in IoT-Enabled Maritime Transportation Systems
4. A Deep Neural Network Based on Prior-Driven and Structural Preserving for SAR Image Despeckling
5. NCGLF2: Network combining global and local features for fusion of multisource remote sensing data
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