Ship Detection for Complex Background SAR Images Based on a Multiscale Variance Weighted Image Entropy Method

Ship detection from complex background synthetic aperture radar (SAR) images is a challenging task. Due to varying local clutter and low signal-to-clutter ratio, the most conventional methods fail to yield satisfactory results. An effective ship detection approach for complex background is developed in this letter. The approach measures the local dissimilarity between target and its neighborhood by using the variance weighted information entropy (VWIE) method. In order to enhance targets, an optimal window selection mechanism based on the multiscale local contrast measure is used in the local VWIE calculation. Experiments indicate that the proposed approach can effectively detect ship targets from the complex background SAR images by using the optimal selection mechanism.

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