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Traditional CFAR detectors assume that the statistical model of the sea clutter as a certain distribution, and the models are established through parameter estimation using all the pixel samples in the background window, the modeling precision is influenced by interfering ship targets in the background window. As a result, the parameters will be over-estimated, which will cause a degradation of probability...
In this paper, the SVD (Singular Value Decomposition) and Tophat Transform is applied in the preprocessing of the ship detection in SAR images. First, Using Singular Value Decomposition and reconstruction, the speckle can be greatly reduced while the details of the images will be mostly kept. Furthermore, by using Tophat Transform, The local background non-homogeneity caused by waves is greatly reduced...
The characteristic difference between targets and clutter is analyzed. Considering the ship target's gray intensity distribution and its shape difference compared to the clutter, in this letter, a new algorithm is presented based on correlation. The algorithm utilizes the strong gray intensity correlation in the ship target; also, the joint gray intensity distribution using 2-D joint log-normal distribution...
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