Algorithm 1 The Iterative CFAR Approach

Input: The input image.

Process: (1)Take all pixels as the sea clutter pixels. (2)Repeat step (3) to (5) until convergence. (3)Estimate the sea clutter distribution using the sea clutter pixels. (4)Implement the CFAR detection with the distributed model. Compute the threshold $T$ , and call every pixel with a value larger than $T$ as the potential ship pixel. (5)Censor out both the potential ship pixels and their eight-connected neighborhood pixels. (6)Implement the CFAR detection with the final distributed model.

Output: Potential ship pixels.