Title :
Multiscale Markov Random Field Method for SAR Image Segmentation
Author :
Zhang, Jian-Guang ; Wen, Xian-Bin ; Jiao, Xu ; Wang, Lei
Author_Institution :
Key Lab. of Comput. Vision & Syst., Tianjin Univ. of Technol., Tianjin, China
Abstract :
In this paper, a multiscale Markov random field method for segmentation of the synthetic aperture radar (SAR) images is proposed. A classifier which inherits the strongpoint of the Markov random field (MRF) and the multiscale autoregressive (MAR) model is designed. The MAR models are utilized to extract the multiscale feature of SAR image, which is used to train the MRF with the proposed algorithm, and then the SAR images is segmented by the trained random field. The experimental result demonstrates the effectiveness and efficiency of the proposed method.
Keywords :
Markov processes; autoregressive processes; image segmentation; radar imaging; synthetic aperture radar; Markov random field; image segmentation; multiscale autoregressive model; synthetic aperture radar; Computer vision; Educational technology; Image resolution; Image segmentation; Laboratories; Markov random fields; Signal resolution; Speckle; Stochastic processes; Synthetic aperture radar;
Conference_Titel :
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-4129-7
Electronic_ISBN :
978-1-4244-4131-0
DOI :
10.1109/CISP.2009.5301448
