A new method for compression of SAR imagery based on MARMA model

Authors:
Jian Ji;Zheng Tian;Yanwei Ju
Affiliations:
Department of Computer Science & Technology, Northwestern Polytechnical University, Xi'an, China;Department of Applied Mathematics, Northwestern Polytechnical University, Xi'an, China;Department of Applied Mathematics, Northwestern Polytechnical University, Xi'an, China
Venue:
ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part II
Year:
2006

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Abstract

In this paper, we present a new method of SAR imagery compression based on multiscale autoregressive moving average (MARMA) models. We use the multiscale representation as the cornerstone of the modeling process, and construct the MARMA models of SAR image. We then predict the initialized image data using these multiscale models. Next we compress image data through coding the residual image. Extension simulations have proven that the proposed method achieves high compression radios with impressive image quality.