Reconstruction of Spectral Reflectance Based on Fusion Convolution Neural Network-Reference-Cited by-同舟云学术

Reconstruction of Spectral Reflectance Based on Fusion Convolution Neural Network

Published:2020-10-30 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2020 9th International Conference on Computing and Pattern Recognition
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Author:

Zhang Lijun¹,Wang Xiangguo¹,Zhang Jingjing¹,Qiao Jinlong¹,Li Penghui¹

Affiliation:

1. School of Automation, China University of Geosciences, Wuhan, P. R. China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3436369.3437441

Reference11 articles.

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3. Arad B. Ben-Shahar O. Sparse recovery of hyperspectral signal from natural RGB images. ECCV (2016) Arad B. Ben-Shahar O. Sparse recovery of hyperspectral signal from natural RGB images. ECCV (2016)

4. Alvarez-Gila A. Van De Weijer J. Garrote E. Adversarial networks for spatial context-aware spectral image reconstruction from rgb. ICCVW (2017) Alvarez-Gila A. Van De Weijer J. Garrote E. Adversarial networks for spatial context-aware spectral image reconstruction from rgb. ICCVW (2017)

5. Jia Y. Zheng Y. Gu L. Subpa-Asa A. Lam A. Sato Y. Sato I. From RGB to spectrum for natural scenes via manifold-based mapping. ICCV (2017) Jia Y. Zheng Y. Gu L. Subpa-Asa A. Lam A. Sato Y. Sato I. From RGB to spectrum for natural scenes via manifold-based mapping. ICCV (2017)

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