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To improve the ship detection performance in polarimetric synthetic aperture radar (PolSAR) images under low signal-to-clutter ratio (SCR), this paper presents a new PolSAR ship detection method based on the low-rank dictionary learning and sparse representation. For each pixel, the scattering mechanism information is described via a feature vector formed by the polarimetric covariance matrix elements...
This paper utilizes empirical mode decomposition to analyze the micro-motion of moving vehicles. Due to the adaptive function of empirical mode decomposition (EMD), different micro-motion of moving vehicles can be extracted by this decomposition technique. The analysis results based on simulated data and measured data show that special structures of different vehicles can be well depicted by EMD.
In this paper, we address the problem of matched illumination waveforms design based on the prior knowledge of the target scattering center models. Firstly, the properties of the target scattering model are discussed. Then, based on these properties, matched waveforms design on the principles of minimizing minimum mean square error (MMSE) and maximizing signal-to-clutter-plus-noise ratio (SCNR) are...
Micro-Doppler information contained in the returned echo reflects the special structure of moving vehicles and can be utilized to discriminate wheeled vehicle and tracked vehicle. In this paper, generalized matched filter is employed to suppress clutter and a preprocessing is used to eliminate the influence of bulk velocity for Doppler spectrum firstly. Then features which depict the distinction between...
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