2022

L. Zhang, Y. Qian, J. Han, P. Duan, and P. Ghamisi (2022) Mixed Noise Removal for Hyperspectral Image with l0-l1-2SSTV Regularization. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 1-18, 2022-06-23. (more) (download)

D. Coquelin, B. Rasti, M. Götz, P. Ghamisi, R. Gloaguen, and A. Streit (2022) HyDe: The First Open-Source, Python-Based, GPU-Accelerated Hyperspectral Denoising Package. arXiv:2204.06979, 2022-04-14. (more) (download)

2021

Y. Han, M. Yin, P. Duan, and P. Ghamisi (2021) Edge-Preserving Filtering-Based Dehazing for Remote Sensing Images. IEEE Geoscience and Remote Sensing Letters, in press. 2021-08-17. (more) (download)

K. R. Shahi, B. Rasti, P. Ghamisi, P. Scheunders, and R. Gloaguen (2021) When is the Right Time to Apply Denoising?. 2021 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2464-2467, 2021-07-11. (more) (download)

B. Rasti, B. Koirala, P. Scheunders, P. Ghamisi, and R. Gloaguen (2021) Boosting Hyperspectral Image Unmixing Using Denoising: Four Scenarios. 2021 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 3821-3824, 2021-07-11. (more) (download)

©2022 IARAI - INSTITUTE OF ADVANCED RESEARCH IN ARTIFICIAL INTELLIGENCE

Imprint | Privacy Policy

Stay in the know with developments at IARAI

We can let you know if there’s any

updates from the Institute.
You can later also tailor your news feed to specific research areas or keywords (Privacy)
Loading

Log in with your credentials

Forgot your details?

Create Account