CR-SSRNet: Cross-Sensor Robust Spectral Super-Resolution Network Guided by Cognition Features-Reference-Cited by-同舟云学术

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CR-SSRNet: Cross-Sensor Robust Spectral Super-Resolution Network Guided by Cognition Features

Published:2024-07-07 Issue: Volume:2 Page:9503-9508
ISSN:
Container-title:IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Ren Weixin¹,Liu Ruiling²,Zhang Lei¹,Wei Wei¹,Ding Chen³,Zhang Yanning¹

Affiliation:

1. Northwestern Polytechnical University,School of Computer Science,Xi’an,China,710129

2. Shaanxi University of Science and Technology,School of Electronic Information and Artificial Intelligence,Xi’an,China,710016

3. Xi’an University of Posts and Telecommunications,School of Computer Science and Technology,Xi’an,China,710121

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10640349/10640352/10641207.pdf?arnumber=10641207

Reference19 articles.

1. Mapping the distribution of invasive tree species using deep one-class classification in the tropical montane landscape of Kenya

2. Hierarchical Regression Network for Spectral Reconstruction from RGB Images

3. Pixel-Aware Deep Function-Mixture Network for Spectral Super-Resolution

4. MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction

5. Wavelet Transform Based Network for Spectral Super-Resolution

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