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Chongwen DUAN, Weidong HU, Xiaoyong DU ATR Key Laboratory, National University of Defense Technology IGARSS 2011, Vancouver
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OUTLINE Introduction background the idea of the paper 3D geometrical feature (GF) extraction algorithm Experiment results & Conclusions 2
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INTRODUCTION SAR image of an object down range resolution: pulse compression cross range resolution: coherent processing of consecutive echoes Orthographic projection Geometrical features 3
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GEOMETRICAL FEATURE Including: shape parameters (length, width, LWR, and height) relative angle with radar 2D features are sometimes ambiguous and the 3D ones are preferred. Two kinds of techniques. 4
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3D FEATURE EXTRACTION Signal processing techniques: Echo phase differences Optical image processing techniques: operates with the amplitude images Scattering center matching is difficult. unfocused distortion scattering scintillation 5
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SAR IMAGES OF OCEAN SHIPS 6
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3D GF EXTRACTION ALGORITHM SAR image preprocessing. Feature extraction of the projected ellipses. Azimuth estimation using Least Square estimation. Geometrical feature extraction. 7
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SAR IMAGE PREPROCESSING 8
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RELATIONSHIP BETWEEN PARAMETERS 9 azimuth angle unknown estimation errors
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AZIMUTH ESTIMATION N images of the same ship estimated from images Elevations known : evaluated 10
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NONLINEAR LEAST SQUARE 11
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EXPERIMENT 1: EM DATA Model: Fishing ship on rough surface Simulated SAR images (Object region) 12
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RESULT OF EXPERIMENT 1 View 1View 2View 3 Real value305070 Estimated31.7250.5071.60 13 LengthWidthHeight Real value457.212.2 Estimated45.169.0410.26 Table 2 Geometrical parameters of the ship (m) Table 1 Estimation of azimuth (°)
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EXPERIMENT 2: MONTE CARLO Ellipsoid: 180×25×25 View angles: Noise level: 0~6 14 (a) Length (b) Width (c) Height
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CONCLUSIONS Geometrical features are important for ocean ship recognition. Ellipsoid-Ellipse simplification can effectually extract 3D GF from SAR images. Preprocessing is necessary. More efforts are required to improve the accuracy of the width and height estimations. 15
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16 THANKS Contact by E-mail: cynthia_1228@163.com
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