Synthetic aperture radar tomography (TomoSAR) is typically used to retrieve elevation, deformation, and other key
information by separating scatters of the same slant range in multiple baseline SAR images. In this paper, we investigate
two kinds of ambiguities for TomoSAR. Rank-1 ambiguity, as the first one we concerned, is due to the baseline
distribution of the SAR image dataset which makes the steering matrix out of full rank. It will result in false alarms
appearing in a permanent distance. However, an example using the TomoSAR imaging parameters shows this ambiguity
makes no sense in most cases. The second ambiguity refers to the coherence of scatters contained in one pixel. In
simulation experiment, the coherence will enhance the side lobes of the spectrum, even make the real peaks fused.
Ship detection is a significant application of maritime monitoring and security. To fully explore the potential of wide
coverage of synthetic aperture radar (SAR) image, the ScanSAR Wide image for ship detection is investigated in this
paper. The Radarsat-2 ScanSAR Wide mode image is used as the image source due to its huge coverage and constant
false alarm rate (CFAR) with Gamma distribution is selected as the core detector. Two problems of ScanSAR ship
detection, the unbalanced phenomenon and false alarms of islands, are investigated and solved by a compensation step
and Hessian matrix respectively. For more aspects, the detector also concerns the polarization channel selection and
distribution fitting. Finally, a whole flow chart of ScanSAR ship detection is presented. As test cases, the experimental
image is used to show the efficiency of our method.