Estimation of target orientation angle based on genetic algorithm 基于遺傳算法的目標方位角估算
The feature templates whose aspects are close to the estimated aspect are selected 根據(jù)估計的目標方位角選擇特征模板。
We propose a synthetical method to estimate target aspect from segmented target region 提出目標方位角綜合估計方法,從目標區(qū)域獲得方位角的估計。
We propose a multistage sar target recognition process based on target detection , target segmentation , target aspect estimation and invariant feature extraction 提出一種以目標檢測、目標分割、目標方位角估計和目標不變性特征提取為線索的sar目標識別框架。
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 為了提高基于特征匹配的saratr系統(tǒng)的分類效率,論文進一步研究了sar圖像目標方位角估計方法,提出了一種利用峰值特征基于線性回歸的sar目標方位角估計方法,該方法除了具有計算速度快、估計精度較高的特點之外,還能在估計方位角的同時,給出該估計的置信區(qū)間,從而能更好地滿足利用特征基于模型saratr系統(tǒng)的需要。