An Algorithm of Vehicle Target Discrimination in SAR Imagery with Lacunarity Feature
Wang Shi-xi①; Li Yu①②; Liu Jun②; Ji Ke-feng①;Su Yi①
①School of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China;②Engineering College of Armed Police Forces, Xi’an 710086, China
Abstract：A new algorithm which can use lacunarity feature to discriminate vehicle target from natural clutter in SAR imagery is developed in this paper. Firstly, the variation and irregularity of back-scattered intensity for vehicle target and natural terrain are analyzed, which are resulted from their different scattering centers with different spatial arrangement and other cases. The vehicle image presents more irregularity and largeness of gaps than natural terrain’s image. Based on fractal theory, the lacunarity feature is estimated to measure the difference and can be used to eliminate the natural clutter. And then, the real X band SAR image data are applied to validate the above algorithm, and the performance of this algorithm is good.
王世晞; 李 禹; 刘 军;计科峰;粟 毅. 一种基于间隙度特征的SAR图像车辆目标鉴别算法[J]. 电子与信息学报, 2008, 30(8): 1944-1948 .
Wang Shi-xi①; Li Yu①②; Liu Jun②; Ji Ke-feng①;Su Yi① . An Algorithm of Vehicle Target Discrimination in SAR Imagery with Lacunarity Feature. , 2008, 30(8): 1944-1948 .
2008, Vol. 30 
