Three-Dimensional Scattering Centers Extraction of Radar Targets Using High Resolution Techniques

Abstract

Abstract-In optical region, the scattering center model is very useful in scattering analysis, target recognition and data compression. The method based on Hough transformation performs well in most cases. However, the algorithm extracts the scattering centers one by one via a clean method, which is time consuming. To solve this problem, a novel method is proposed in this paper to extract the scattering centers. By searching the estimated 1D scattering centers, the candidate positions for 3D scattering centers are extracted. Then the candidates are discriminated by a clustering based procedure. By employing the new algorithm, the 3D scattering centers can be extracted simply and the clean step is unnecessary, which makes the procedure efficient. The experiment results of the high-frequency-electromagnetic data demonstrate the performance of the proposed method.

A Modified Ransac Method for Three-Dimensional Scattering Center Extraction at a Single Elevation

“…However, the parameter space, constructed via several 3D transformations, needs updating for each SC extraction, which means that the method is terribly time consuming. In [12], we have recently developed a method to extract the global SC model. In this method, the candidate positions are extracted by an accumulator array at the same time, and the parameter-space updating is unnecessary.…”