In order to improve the efficiency of classification based on feature matching , the method of azimuth estimation from sar image is studied . a method of target ' s azimuth estimation from sar image using peak featur e based on linear regression is proposed , besides goodish estimation accuracy and high computation efficiency , it can also provide the confidence interval of the estimation , which can meet the need of model - based sar atr system that uses feature very well 为了提高基于特征匹配的saratr系统的分类效率，论文进一步研究了sar图像目标方位角估计方法，提出了一种利用峰值特征基于线性回归的sar目标方位角估计方法，该方法除了具有计算速度快、估计精度较高的特点之外，还能在估计方位角的同时，给出该估计的置信区间，从而能更好地满足利用特征基于模型saratr系统的需要。
