The selection of the reference image in azimuth interval is discussed, and the influence of the alignment on template training and target classification is discussed too.
分析了方位区间中基准图像的选取及对准过程对模板生成和目标分类的影响程度。
Further, a hybrid BP algorithm with dead interval of error is derived for training the neural classifier in order to increase training speed and classification accuracy.
此外，提出用带输出误差死区的混合BP算法训练神经元分类器，提高了网络学习训练速度和分类准确性。
This paper focuses on a study of the classification method of natural disaster in the view of attribute interval recognition theory.
从属性区间识别理论的角度，探讨了自然灾害的等级划分方法。
应用推荐