變量切趾技術(shù)在SAR/ISAR圖像處理中的應(yīng)用
Application of Apodization Method in SAR/ISAR Processing
-
摘要: SAR/ISAR圖像處理需要進(jìn)行二維傅里葉變換,傅里葉變換本身具有較高的旁瓣電平,雖然通過(guò)加權(quán)處理可以降低旁瓣電平,但是主瓣的分辨率會(huì)降低.變量切趾技術(shù)在SAR圖像處理中能夠抑制旁瓣電平,同時(shí)保持圖像的高分辨率。該文分析了傳統(tǒng)的變量切趾技術(shù)和算法,通過(guò)加強(qiáng)約束條件,提出了改進(jìn)的變量切趾算法.與原有方法相比,獲得更高的分辨率和低的旁瓣電平,對(duì)一幅二維ISAR圖像進(jìn)行處理證明了這種方法的正確性.
-
關(guān)鍵詞:
- 變量切趾; SAR/ISAR; 旁瓣; 分辨率
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. -
計(jì)量
- 文章訪問(wèn)數(shù): 2231
- HTML全文瀏覽量: 132
- PDF下載量: 720
- 被引次數(shù): 0
下載:
