Developing an efficient technique for satellite image denoising and resolution enhancement for improving classification accuracy

Sree Sharmila Thangaswamy; Ramar Kadarkarai; Sree Renga Raja Thangaswamy

doi:10.1117/1.JEI.22.1.013013

23 January 2013 Developing an efficient technique for satellite image denoising and resolution enhancement for improving classification accuracy

Sree Sharmila Thangaswamy, Ramar Kadarkarai, Sree Renga Raja Thangaswamy

Author Affiliations +

Journal of Electronic Imaging, Vol. 22, Issue 1, 013013 (January 2013). https://doi.org/10.1117/1.JEI.22.1.013013

Abstract

Satellite images are corrupted by noise during image acquisition and transmission. The removal of noise from the image by attenuating the high-frequency image components removes important details as well. In order to retain the useful information, improve the visual appearance, and accurately classify an image, an effective denoising technique is required. We discuss three important steps such as image denoising, resolution enhancement, and classification for improving accuracy in a noisy image. An effective denoising technique, hybrid directional lifting, is proposed to retain the important details of the images and improve visual appearance. The discrete wavelet transform based interpolation is developed for enhancing the resolution of the denoised image. The image is then classified using a support vector machine, which is superior to other neural network classifiers. The quantitative performance measures such as peak signal to noise ratio and classification accuracy show the significance of the proposed techniques.

Citation Download Citation

Sree Sharmila Thangaswamy, Ramar Kadarkarai, and Sree Renga Raja Thangaswamy "Developing an efficient technique for satellite image denoising and resolution enhancement for improving classification accuracy," Journal of Electronic Imaging 22(1), 013013 (23 January 2013). https://doi.org/10.1117/1.JEI.22.1.013013

Published: 23 January 2013

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available