Abstract:

Foreign object debris (FOD) detection in airport runway is very important to airplanes′ safety, and the airport runway radar image noise suppressing plays a vital role in foreign object detection. Therefore, an airport runway radar image de-noising method based shift invariant hybrid transform is proposed in the range-time dimension. Firstly, the radar image noise in the range dimension is removed by the Wiener filter in discrete Fourier transform(DFT)domain. Secondly, the radar image noise in the time dimension is removed by the adaptive threshold in hyperanalytic wavelet transform(HWT)domain.Compared with traditional de-noising methods after imaging, the proposed mothod can remove the runway radar image noise effectively and improve the visual effect of images significantly, and most importantly, it can run in real time and be suitable for engineering practice.