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ICNC
2005
Springer

Segmentation of SAR Image Using Mixture Multiscale ARMA Network

9 years 1 months ago
Segmentation of SAR Image Using Mixture Multiscale ARMA Network
Abstract. A mixture multiscale autoregressive moving average (ARMA) network is proposed for unsupervised segmentation of synthetic aperture radar (SAR) image. The network combines the multiscale analysis (MA) method and the feedforward artificial neural network (FANN), thus maintains some of the characteristics of the MA method and the FANN respectively. A corresponding learning algorithm is derived based on the Akaike’s information criterion (AIC) and genetic algorithm (GA). Experimental results on SAR images are shown to validate the presented network and learning algorithm.
Haixia Xu, Tian Zheng, Fan Meng
Added 27 Jun 2010
Updated 27 Jun 2010
Type Conference
Year 2005
Where ICNC
Authors Haixia Xu, Tian Zheng, Fan Meng
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