变量切趾技术在SAR/ISAR图像处理中的应用
Application of Apodization Method in SAR/ISAR Processing
-
摘要: SAR/ISAR图像处理需要进行二维傅里叶变换,傅里叶变换本身具有较高的旁瓣电平,虽然通过加权处理可以降低旁瓣电平,但是主瓣的分辨率会降低.变量切趾技术在SAR图像处理中能够抑制旁瓣电平,同时保持图像的高分辨率。该文分析了传统的变量切趾技术和算法,通过加强约束条件,提出了改进的变量切趾算法.与原有方法相比,获得更高的分辨率和低的旁瓣电平,对一幅二维ISAR图像进行处理证明了这种方法的正确性.Abstract: SAR/ISAR image processing involves a 2D Fourier transform that produce high intensity sidelobes which obscure low intensity scatters in the image. Although sidolobitt can be reduced using parametric windows, the image resolution becomes worse. Apodization technique can reduce sidelobe levels while maintaining the image resolution. In this paper, based on the analysis of apodization algorithm, a modified apodization method is presented via stronger constraint. The modified method has higher resolution and lower sidelobe levels than the original method. The correctness of this method is proved by using a real ISAR image.
-
Degraaf S R. SAR imaging via modern 2D spectral estimation methods[J].IEEE Trans. on Image Processing.1998, 7(5):729-761[2]Benitz G R. Adaptive high definition imaging[J].Proc. of SPIE.1994, Vol.2230:106-119[3]Li J, Stoica P. An adaptive filtering approach to spectral estimation and SAR imaging[J].IEEE,Trans. on SP.1996, 44(6):1469-1484[4]Thomas G, et al.. SAR sidelobe apodization using parametric windows, Proc[J].of SPIE.1999,Vol.3721:68-77[5]Stankwitz H C, et al.. Non-linear apodization for sidelobe control in SAR imagery. IEEE Trans.on AES., 1995, 31(1): 267-279.[6]Harris F J. On the use of windows for harmonic analysis with the discrete Fourier transform.Proc. IEEE, 1978, 66(1): 135-147.
计量
- 文章访问数: 2206
- HTML全文浏览量: 125
- PDF下载量: 720
- 被引次数: 0