1. Home
2. Premium
3. IEEE ICASSP 2020 Virtual Conference May 2020
4. Adrn: Attention-Based Deep Residual Network For Hyperspectral Image Denoising

Adrn: Attention-Based Deep Residual Network For Hyperspectral Image Denoising

Collection:

IEEE ICASSP 2020 Virtual Conference May 2020

Hyperspectral image (HSI) denoising is of crucial importance for many subsequent applications, such as HSI classification and interpretation. In this paper, we propose an attention-based deep residual network to directly learn a mapping from noisy HSI to

• IEEE MemberUS $11.00
• Society MemberUS $0.00
• IEEE Student MemberUS $11.00
• Non-IEEE MemberUS $15.00

Purchase

Videos in this product

Adrn: Attention-Based Deep Residual Network For Hyperspectral Image Denoising

00:12:31

0 views

Hyperspectral image (HSI) denoising is of crucial importance for many subsequent applications, such as HSI classification and interpretation. In this paper, we propose an attention-based deep residual network to directly learn a mapping from noisy HSI to