An algebraic approach to synthetic aperture sonar image reconstruction

A new approach for synthetic aperture image formation is presented in this paper. With the presented method image formation is regarded as a signal arrangement that can be described by a matrix. This method integrates the sonar platform motion in the image formation process but more importantly it acknowledges the non ideal data gathering process and implements means to mitigate these shortcomings. This method is illustrated with real data obtained in test mission in the Douro River, Portugal by a synthetic aperture sonar developed at the University of Porto.

[1]  Hua Lee,et al.  Synthetic-aperture sonar imaging: system analysis, image formation, and motion compensation , 1995, Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers.

[2]  Weifeng Liu,et al.  Correntropy: A Localized Similarity Measure , 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

[3]  Anibal Matos,et al.  An In-SAS System for Shallow Water Surveying , 2007 .

[4]  G. Shippey,et al.  SAS image reconstruction using Fast Polar Back Projection: comparisons with Fast Factored Back Projection and Fourier-domain imaging , 2005, Europe Oceans 2005.

[5]  Nuno Cruz,et al.  Zarco - An Autonomous Craft for Underwater Surveys , 2007 .

[6]  Peter T. Gough,et al.  Unified framework for modern synthetic aperture imaging algorithms , 1997 .

[7]  G. Fornaro.  Trajectory deviations in airborne SAR: analysis and compensation , 1999 .

[8]  M. P. Hayes,et al.  Statistical autofocus of synthetic aperture sonar images using image contrast optimisation , 2001, IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217).

[9]  R. McHugh,et al.  Spatial sampling ambiguities in synthetic aperture sonar for broadside and squint look operations , 1998, IEEE Oceanic Engineering Society. OCEANS'98. Conference Proceedings (Cat. No.98CH36259).

[10]  K. Tomiyasu,et al.  Tutorial review of synthetic-aperture radar (SAR) with applications to imaging of the ocean surface , 1978, Proceedings of the IEEE.

[11]  A. Matos,et al.  An Autonomous Boat Based Synthetic Aperture Sonar , 2007, OCEANS 2007.

[12]  Peter T. Gough,et al.  Unified framework for modern synthetic aperture imaging algorithms , 1997, Int. J. Imaging Syst. Technol..

[13]  Deepa Kundur,et al.  Blind Image Deconvolution , 2001 .