Study on Target Detection of SAR Image Using Improved Fractal Feature
Cheng De-bao①; Hu Feng-ming②③; Yang Ru-liang②
①School of Economics and Management, Beihang University, Beijing 100191, China; ②Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China; ③Graduate University of the Chinese Academy of Sciences, Beijing 100190, China
Abstract:The improved fractal feature of each pixel can be extracted based on the filtered image using the exponential wavelet at one scale and energy functions. This paper studies the method of the improved fractal feature for SAR images target detection. The results of target detections using the improved fractal feature are compared with that using the method of Extended Fractal (EF) for SAR images in the simple and complex backgrounds respectively. Results state the method using the improved fractal feature can not only detect all size-fixed targets but also have lower false alarm rates, spatial resolution of the detected targets are higher and the locations of the detected targets are more accurate in both of the backgrounds, but worse false alarm rates in complex background than in the simple background using the improved fractal feature.
承德保; 胡风明; 杨汝良. 利用改进分形特征对SAR图像目标检测方法的研究[J]. 电子与信息学报, 2009, 31(1): 164-168 .
Cheng De-bao①; Hu Feng-ming②③; Yang Ru-liang②. Study on Target Detection of SAR Image Using Improved Fractal Feature. , 2009, 31(1): 164-168 .