1. New Method for Ship Detection Jian Yang Hongji Zhang Dept. of Electronic Eng., Tsinghua Univ. Yoshio Yamaguchi Dept. of Inform. Eng., Niigata Univ.

4. Touzi’s work

5. Optimization of Polarimetric Contrast Enhancement (OPCE) Ioannidis Hammers Kostinski Boerner Yamaguchi Yang

7. 2 Polarization entropy and similarity parameters

8. Approximate expression From the least square method and Vieta's Theorem The average error:

9. The Formula has a good approximation to the theoretical value of the polarization entropy Eigenvalues and logarithm are unnecessary!!! Running Time by the proposed formula is only 5% of that by the traditional approach J. Yang, Y. Chen, Y. Peng, Y. Yamaguchi, H. Yamada, “New formula of the polarization entropy”, IEICE Trans. Commun., 2006, E89-B(3), 1033-1035

10. Similarity parameter single-look case Multi-look case J. Yang, et al., “Similarity between two scattering matrices,” Electronics Letters, vol.37, no. 3, pp. 193-194, 2001.

11. Similarity between a target and a plate: surface scattering Similarity between a target and a diplane: Double-bounce scattering

12. Generalized OPCE (GOPCE) based ship detection J. Yang, Y. Yamaguchi, W. -M. Boerner, S. M. Lin, “Numerical methods for solving the optimal problem of contrast enhancement,” IEEE Trans. Geosci. Remote Sensing, 2000, 38(2), pp. 965-971

13. GOPCE : G eneralized OPCE J. Yang, et al., “Generalized optimization of polarimetric contrast enhancement”, IEEE GRSL., vol.1, no.3, pp.171-174, 2004

14. GOPCE based ship detection For a sea area subject to:

16. Experimental results NASA/JPL AirSAR over Sydney coast, Australia. Span image

17. Experiment results

18. Experiment results Power Image by OPCE

19. Experiment results GP Image by GOPCE

20. Experiment results Filtered result by PWF

21. span PWF OPCE GOPCE Detection results: false alarm rate 1%

22. 5. Summary (1) OPCE has been developed (2) GOPCE is effective for ship detection

23. Thank you! [email_address]

27. Pre-test Approach for Speckle Filtering To-be-filtered pixel Pre-tested pixels Summary of Speckle Filtering : Two-Step Methodology An example of pre-testing homogenous pixels in non-local area by patch patch patch : pixel itself and its local neighboring non-local area : other than neighboring area pre-test : selecting homogenous pixels in non-local area by patch /28 Selecting homogenous pixels Averaging homogenous pixels Boxcar local area In neighboring area Uniformly weight Lee In aligned matching window By mmse criteria Pre-test In non-local area By the similarity of patch