Denoising hyperspectral images using Hilbert vibration decomposition with cluster validation

Author:

Shukla Urvashi Prakash1ORCID,Nanda Satyasai Jagannath1

Affiliation:

1. Department of Electronics and Communication EngineeringMalaviya National Institute of Technology JaipurRajasthan302017India

Funder

Ministry of Defence

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference36 articles.

1. A review of hyperspectral remote sensing and its application in vegetation and water resource studies;Govender M.;Water SA,2007

2. Signal‐dependent noise modeling and model parameter estimation in hyperspectral images;Acito N.;IEEE Trans. Geosci. Remote Sens.,2011

3. 2003 Geoscience and Remote Sensing Symp. 2003. IGARSS'03. Proc. IEEE Int. I. Atkinson F. Kamalabadi D.L. Jones Wavelet‐based hyperspectral image estimation 743 745

4. Denoising of Hyperspectral Imagery Using Principal Component Analysis and Wavelet Shrinkage

5. Noise Removal From Hyperspectral Images by Multidimensional Filtering

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