Abstract
This paper addresses a novel extraction approach of power transmission tower groups in fully polarimetric synthetic aperture radar data sets based on genetic algorithm. The new approach firstly introduces polarimetric Whitening Filter for improving the ability to detect targets in clutter by reducing the effect of speckle without affecting the resolution. Then point-like targets are detected based on multi-resolution statistic energy level method which adapt to different clutter backgrounds and detect targets efficiently. Finally, a generic algorithm based searching approach is applied to extracting series of power transmission towers from all the remaining potential point-like targets. Good experimental results are obtained when our method is applied to single-look, high resolution, X-band full polarimetric SAR images.
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References
Oliver, C. J., Quegan, S.: Understanding Synthetic Aperture Radar Images. Artech House Inc. 685 Canton Street, Norwood, MA (1998)
Chaney, R. D., Burl, M.C., Novak L. M.: On the Performance of Polarimetric Target Detection Algorithms, IEEE International Radar Conference, Arlington, VA (1990) 520–525
Touzi, R., Boerner, W. M., Lee, J. S., Lueneburg, E.: A Review of Polarimetry in the Context of Synthetic Aperture Radar: Concepts and Information Extraction, Can. J. Remote Sensing, 30(3) (2004) 380–407
Novak, L. M., Burl, M.C.: Optimal Speckle Reduction in Polarimetric SAR Imagery. IEEE Transactions on Aerospace and Electronic Systems, 26 (1990) 2293–305
Novak, L. M., Burl, M. C., Irving, W. W.: Optimal Polarimetric Processing for Enhanced Target Detection. IEEE Transactions on Aerospace and Electronic Systems, 29(1) (1993) 234–243
Wen Y., Jiayu, C., Hong, S., Wang, X. J.: Study on Point Targets Detection in SAR Imagery, Chinese Journal of Radio Science, Vol. 19, No. 3 (2004) 362–366
Holland, J. H.: Adaptation in Natural and Artificial Systems. The University of Michigan Press, Ann Arbor, Michigan (1975)
Michalewicz, Z.: Genetic Algorithms + Data Structures = Evolution Programs. Springer-Verlag, Berlin (1996)
Goldberg, D. E.: Genetic Algorithm in Search, Optimization and Machine Learning, Addison Wesley, New York (1989)
Harvey, I.: Evolutionary Robotics and SAGA: The Case for Hill Crawling and Tournament Selection. Proceedings of Workshop on Artificial Life, Santa Fe, NM, Addison-Wesley, XVII, (1992) 299–326
Sipper, M.: Machine Nature: The Coming Age of Bio-Inspired Computing. McGraw-Hill, New York (2002)
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© 2006 Springer-Verlag Berlin Heidelberg
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Yang, W., Xu, G., Chen, J., Sun, H. (2006). Power Transmission Towers Extraction in Polarimetric SAR Imagery Based on Genetic Algorithm. In: Huang, DS., Li, K., Irwin, G.W. (eds) Intelligent Computing in Signal Processing and Pattern Recognition. Lecture Notes in Control and Information Sciences, vol 345. Springer, Berlin, Heidelberg . https://doi.org/10.1007/978-3-540-37258-5_42
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DOI: https://doi.org/10.1007/978-3-540-37258-5_42
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-37257-8
Online ISBN: 978-3-540-37258-5
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