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Proceedings Paper

Classification of multitemporal SAR images for the broader area of Athens
Author(s): V. Tsagaris; V. Anastassopoulos; A. Ifantis
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Paper Abstract

A comparison of different classification approaches for multitemporal SAR images data sets is provided in this work. The aim is to assess the performance of estimators of the backscatter temporal variability in terms of classification accuracy for a typical four-class problem. Different approaches in forming an appropriate feature vector are discussed and compared with multichannel classifiers like the fuzzy k-means. Finally, a classifier that employs a feature fusion step based on principal components analysis is proven promising since it provides increased classification accuracy and reduced computational complexity.

Paper Details

Date Published: 18 October 2005
PDF: 9 pages
Proc. SPIE 5982, Image and Signal Processing for Remote Sensing XI, 59820V (18 October 2005); doi: 10.1117/12.627536
Show Author Affiliations
V. Tsagaris, Univ. of Patras (Greece)
V. Anastassopoulos, Univ. of Patras (Greece)
A. Ifantis, Technological Institute of Patras (Greece)

Published in SPIE Proceedings Vol. 5982:
Image and Signal Processing for Remote Sensing XI
Lorenzo Bruzzone, Editor(s)

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