An Improved Target Detection Method on Wavelet-Based Fractal Scaling Analysis

摘要

Wavelet-based fractal scaling analysis is a new method based on fractal geometry for detecting small targets within sea clutter. But the fractal dimension of sea clutter is affected by not only the presence of a target but also sea wave propagation directions, which will degrade accuracy of detection under various sea and weather conditions. An improved method using spatial Hurst parameter differences is provided to overcome the above drawback. Experiments with IPIX real-life radar data have shown that the novel method is more robust and accurate than wavelet-based fractal scaling analysis method.