loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: María E. Buemi ; Marta E. Mejail ; Julio C. Jacobo and María J. Gambini

Affiliation: Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Argentina

Keyword(s): Stack filter, sinthetic aperture radar, speckle, classification.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Image and Video Analysis ; Image Filtering ; Image Formation and Preprocessing ; Statistical Approach

Abstract: Stack filters are a special case of non-linear filters. They have a good performance for filtering images with different types of noise while preserving edges and details. A stack filter decomposes an input image into several binary images according to a set of thresholds. Each binary image is filtered by using a boolean function. Adaptive stack filters are optimized filters that compute a boolean function by using a corrupted image and ideal image without noise. In this work the behaviour of an adaptive stack filter is evaluated for the classification of synthetic apreture radar (SAR) images, which are affected by speckle noise. With this aim it is carried out a Monte Carlo experiment in which simulated images are generated and then filtered with a stack filter trained with one of them. The results of their maximum likelihood classification are evaluated and then are compared with the results of classifying the images without previous filtering.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 13.59.218.147

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
E. Buemi, M.; E. Mejail, M.; C. Jacobo, J. and J. Gambini, M. (2006). ADAPTIVE STACK FILTERS IN SPECKLED IMAGERY. In Proceedings of the First International Conference on Computer Vision Theory and Applications (VISIGRAPP 2006) - Volume 1: VISAPP; ISBN 972-8865-40-6; ISSN 2184-4321, SciTePress, pages 33-40. DOI: 10.5220/0001376400330040

@conference{visapp06,
author={María {E. Buemi}. and Marta {E. Mejail}. and Julio {C. Jacobo}. and María {J. Gambini}.},
title={ADAPTIVE STACK FILTERS IN SPECKLED IMAGERY},
booktitle={Proceedings of the First International Conference on Computer Vision Theory and Applications (VISIGRAPP 2006) - Volume 1: VISAPP},
year={2006},
pages={33-40},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001376400330040},
isbn={972-8865-40-6},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the First International Conference on Computer Vision Theory and Applications (VISIGRAPP 2006) - Volume 1: VISAPP
TI - ADAPTIVE STACK FILTERS IN SPECKLED IMAGERY
SN - 972-8865-40-6
IS - 2184-4321
AU - E. Buemi, M.
AU - E. Mejail, M.
AU - C. Jacobo, J.
AU - J. Gambini, M.
PY - 2006
SP - 33
EP - 40
DO - 10.5220/0001376400330040
PB - SciTePress