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New Discrimination Features for SAR Automatic Target Recognition

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3 Author(s)
Jong-Il Park ; Dept. of Electr. Eng., Pohang Univ. of Sci. & Technol., Pohang, South Korea ; Sang-Hong Park ; Kyung-Tae Kim

We propose new features and a redundancy-free feature selection scheme for discriminating targets from clutter in high-resolution synthetic aperture radar imagery. These were found to be very useful for discriminating targets from clutter and well combined with various classical discriminative features. If a feature set with a larger dimension is used, its redundancy may increase. In order to reduce this redundancy, a rank-based feature selection scheme is devised. Our discriminating features and feature selection algorithm are evaluated using the moving and stationary target acquisition and recognition (MSTAR) data set.

Published in:

Geoscience and Remote Sensing Letters, IEEE  (Volume:10 ,  Issue: 3 )

Date of Publication:

May 2013

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