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Multiscale Unsupervised Segmentation of SAR Imagery Using the Genetic Algorithm
School of Computer Science and Technology, Tianjin University of Technology, Tianjin 300191, P.R. China
Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology, Tianjin, 300191, China
Nanchang Hangkong University, Nanchang, 330034, China
* Author to whom correspondence should be addressed.
Received: 17 January 2008; in revised form: / Accepted: 25 February 2008 / Published: 12 March 2008
Abstract: A valid unsupervised and multiscale segmentation of synthetic aperture radar(SAR) imagery is proposed by a combination GA-EM of the Expectation Maximization(EM) algorith with the genetic algorithm (GA). The mixture multiscale autoregressive(MMAR) model is introduced to characterize and exploit the scale-to-scale statisticalvariations and statistical variations in the same scale in SAR imagery due to radar speckle,and a segmentation method is given by combining the GA algorithm with the EMalgorithm. This algorithm is capable of selecting the number of components of the modelusing the minimum description length (MDL) criterion. Our approach benefits from theproperties of the Genetic and the EM algorithm by combination of both into a singleprocedure. The population-based stochastic search of the genetic algorithm (GA) exploresthe search space more thoroughly than the EM method. Therefore, our algorithm enablesescaping from local optimal solutions since the algorithm becomes less sensitive to itsinitialization. Some experiment results are given based on our proposed approach, andcompared to that of the EM algorithms. The experiments on the SAR images show that theGA-EM outperforms the EM method.
Keywords: SAR Image; Unsupervised Segmentation; Multiscale; Genetic Algorithms.
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Cite This Article
MDPI and ACS Style
Wen, X.-B.; Zhang, H.; Jiang, Z.-T. Multiscale Unsupervised Segmentation of SAR Imagery Using the Genetic Algorithm. Sensors 2008, 8, 1704-1711.
Wen X-B, Zhang H, Jiang Z-T. Multiscale Unsupervised Segmentation of SAR Imagery Using the Genetic Algorithm. Sensors. 2008; 8(3):1704-1711.
Wen, Xian-Bin; Zhang, Hua; Jiang, Ze-Tao. 2008. "Multiscale Unsupervised Segmentation of SAR Imagery Using the Genetic Algorithm." Sensors 8, no. 3: 1704-1711.