Complex SAR image characterization using space variant spectral analysis

This paper proposes a new parameter based method of SAR image feature extraction and complex image information retrieval. The methodpsilas groundwork is the Fast Fourier Transform, each of the proposed parameters being built on a Fourier Transform basis. We suggest that by the use of several image bands formed of distinct spectral signatures of the original complex image, one can obtain a valid spectral characterization of the SAR image that can be afterwards subject to a clustering algorithm. The classification algorithm proposed in this paper is unsupervised K- means. The main advantages of the algorithm are the simplicity and robustness of the implementation.