基于Hough变换与目标主轴提取的SAR图像目标方位角估计方法

Target Aspect Estimation in SAR Imagery Based on Hough Transform and Major Axis Extraction

该文提出了一种基于Hough变换与目标主轴提取的SAR图像目标方位角估计方法。针对传统基于Hough变换估计方法的不足,在估计过程中引入目标的主轴信息指导方位角的估计。利用基于马尔可夫随机场(MRF)的图像分割提取准确的目标成像轮廓。在此基础上,基于Hough变换检测目标轮廓的直边,基于轮廓特征点检测获得目标主轴的大致方向,结合Hough变换检测结果与目标主轴信息获得最终的方位角估计。实验结果验证了该文方法的有效性。

A novel method of target aspect estimation in SAR imagery based on Hough transform and major axis extraction is proposed here, which fully exploits the information contained in the major axis of the target. Firstly, the accurate contour of the target in SAR imagery is extracted after the image segmentation based on Markov Random Field（MRF）model. Secondly, the .straight lines on the contour are found by Hough transform and the major axis is extracted by the detection of feature points on the contour. Finally, a fine estimation can be acquired by the combination of estimation results from both Hough transform and major axis extraction. The validity of the method is indicated by experimental results with real SAR data sets.