Filtering and classification of SAR images using parallel-SOM

Antonio Nuno Santa-Rosa; Weigang Li; Nilton Correia da Silva; Paulo Roberto Meneses

doi:10.1117/12.380601

30 March 2000 Filtering and classification of SAR images using parallel-SOM

Antonio Nuno Santa-Rosa, Weigang Li, Nilton Correia da Silva, Paulo Roberto Meneses

Proceedings Volume 4055, Applications and Science of Computational Intelligence III; (2000) https://doi.org/10.1117/12.380601
Event: AeroSense 2000, 2000, Orlando, FL, United States

Abstract

Map Gauss filter is a linear adaptive filter commonly used to reduce speckle noise present in synthetic aperture radar images of remote sensing satellites. In this study was incorporating some modifications that allow us to maximize the signal-to-noise ratio at the same time almost total features of the image are preserved. To evalute the performance of the new filter, both original and filtered images were classified by a unsupervised technique known as Parallel Self-Organizing Map and the results of this classification were compared. The P-SOM is an algorithm with its own-organization mapping that is specific for parallel computing environment. As examples of applications, are presented the results of the classification for preprocessed original RADARSAT images using the Map gauss, Frost and Gamma filters.

Citation Download Citation

Antonio Nuno Santa-Rosa, Weigang Li, Nilton Correia da Silva, and Paulo Roberto Meneses "Filtering and classification of SAR images using parallel-SOM", Proc. SPIE 4055, Applications and Science of Computational Intelligence III, (30 March 2000); https://doi.org/10.1117/12.380601

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