Assessment of SAR image filtering using adaptive stack filters

Fecha:

2011

Tipo de documento: 

info:eu-repo/semantics/article
info:ar-repo/semantics/artículo
info:eu-repo/semantics/publishedVersion

Formato:

application/pdf

Temas:

Non-linear filters - SAR image filtering - speckle noise - stack filters - Classification accuracy - Filtered images - Input image - Noiseless images - Noisy versions - Nonlinear filter - Quality indices - SAR Images - speckle noise - Stack filters - Synthetic aperture radar images - Binary images - Boolean functions - Computer vision - Image quality - Nonlinear filtering - Synthetic aperture radar

Descripción:

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 then filtered by a Boolean function, which characterizes the filter. Adaptive stack filters can be designed to be optimal; they are computed from a pair of images consisting of an ideal noiseless image and its noisy version. In this work we study the performance of adaptive stack filters when they are applied to Synthetic Aperture Radar (SAR) images. This is done by evaluating the quality of the filtered images through the use of suitable image quality indexes and by measuring the classification accuracy of the resulting images. © 2011 Springer-Verlag.
Fil:Buemi, M.E. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.
Fil:Mejail, M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.

Fuente:

Lect. Notes Comput. Sci. 2011;7042 LNCS:89-96

Identificador:

http://hdl.handle.net/20.500.12110/paper_03029743_v7042LNCS_n_p89_Buemi
http://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=artiaex&d=paper_03029743_v7042LNCS_n_p89_Buemi_oai