Unsupervised hyperspectral band selection using ranking based on a denoising error matching approach-Reference-Cited by-同舟云学术

Unsupervised hyperspectral band selection using ranking based on a denoising error matching approach

Published:2019-04-27 Issue:20 Volume:40 Page:8031-8053
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Varade Divyesh¹^ORCID,Maurya Ajay K.¹^ORCID,Dikshit Onkar¹^ORCID

Affiliation:

1. Geoinformatics, Department of Civil Engineering, Indian Institute of Technology Kanpur, Kanpur, India

Funder

Department of Science and Technology, Ministry of Science and Technology, Government of India

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2019.1608388

Reference47 articles.

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3. Buades, A., B. Coll, and J. M. Morel. 2004. “On image denoising methods: Technical Note, Centre de Mathematiques et de Leurs Applications (CMLA).” Accessed 28 August 2018. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.100.81&rep=rep1&type=pdf

4. A Review of Image Denoising Algorithms, with a New One

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