An Aspect-Dependence Characteristics-Based Approach for Parameter Estimation of Attribute Scattering Center Model

Attribute scattering center model provides a richer physical description of target scattering at high frequencies. The frequency and aspect dependence in the model is an important feature for target recognition. But the parameters have to be extracted in image domain because of complexity of model function, and image segmentation is a key step in the process. Due to the complexity of the representation of scattering center in image domain, the inherent scattering mechanism in the separated region can not be described accurately using traditional segmentation algorithm, which results in the failure of the model parameter estimation. Aiming at the problem, a parameter estimation method based on aspect-dependence characteristics is presented. It employs the aspect angle function to distinguish the scattering type, this can provide a useful guidance for the partition of image and extraction of feature parameters. The result of simulation has shown the feasibility of the method.