Share Email Print
cover

Proceedings Paper

Scatter-plot-based method for noise characteristics evaluation in remote sensing images using adaptive image clustering procedure
Author(s): Victoriya V. Abramova; Sergey K. Abramov; Vladimir V. Lukin; Benoit Vozel; Kacem Chehdi
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Several modifications of scatter-plot-based method for mixed noise parameters estimation are proposed. The modifications relate to the stage of image segmentation and they are intended to adaptively separate image blocks into clusters taking into account image peculiarities and to choose a required number of clusters. Comparative performance analysis of the proposed modifications for images from TID2008 database is performed. It is shown that the best estimation accuracy is provided by a method with automatic determination of a required number of clusters followed by block separation into clusters using k-means method. This modification allows improving the accuracy of noise characteristics estimation by up to 5% for both signal-independent and signal-dependent noise components in comparison to the basic method. The results for real-life data are presented.

Paper Details

Date Published: 18 October 2016
PDF: 11 pages
Proc. SPIE 10004, Image and Signal Processing for Remote Sensing XXII, 1000408 (18 October 2016); doi: 10.1117/12.2240876
Show Author Affiliations
Victoriya V. Abramova, National Aerospace Univ. (Ukraine)
Sergey K. Abramov, National Aerospace Univ. (Ukraine)
Vladimir V. Lukin, National Aerospace Univ. (Ukraine)
Benoit Vozel, IETR, CNRS, Univ. de Rennes 1 (France)
Kacem Chehdi, IETR, CNRS, Univ. de Rennes 1 (France)


Published in SPIE Proceedings Vol. 10004:
Image and Signal Processing for Remote Sensing XXII
Lorenzo Bruzzone; Francesca Bovolo, Editor(s)

© SPIE. Terms of Use
Back to Top