ID	原文	译文
50357	针对合成孔径雷达(synthetic aperture radar，SAR)图像分割这一研究热点，综合论述了基于主动轮廓模型(active contour model，ACM)的SAR图像分割方法。	For synthetic aperture radar (synthetic aperture radar, SAR) image segmentation, a hot research topic, comprehensive discussed based on the active contour model (active contour model, ACM) SAR image segmentation method.
50358	首先，介绍了经典的ACM及其数学原理，并通过理论和实验分析了这些模型应用于SAR图像分割时存在的问题;	First, this paper introduces the classical ACM and mathematics principle, and through theoretical and experimental analysis of the model is applied to the problem of SAR image segmentation;
50359	然后，对目前基于ACM的SAR图像分割方法进行了系统的梳理和分类讨论;	Then, the current SAR image segmentation method based on the ACM system carding and classification discussed;
50360	最后，对基于ACM的SAR图像分割方法作了总结，并对将来的研究方向进行了展望。	Finally, the SAR image segmentation method based on the ACM summarized, and the future research direction was prospected.
50361	纠错输出编码能有效地将多类问题分解为一系列二类子问题进行求解，已受到众多机器学习研究者的关注。	Error correcting output codes can effectively be much problem is decomposed into a series of second class are applied to solve the subproblems have been many machine learning researchers' attention.
50362	如何构建基于数据的编码矩阵是编码方法确定的关键。	How to build based on the data encoding matrix is the key to the encoding method to determine.
50363	针对此问题，基于Fisher原理，提出一种基于支持向量数据描述(support vector domain description，SVDD)的层次纠错输出编码构造方法(hierarchical error-correcting output codes，HECOC)。	Aiming at this problem, based on Fisher principle, this paper puts forward a kind of based on support vector data description (the support vector domain description, the SVDD) the level of output error correction coding method (hierarchical error - correcting output codes, HECOC).
50364	该方法首先采用SVDD计算各类别的可分程度，从而得到由不同子类构成的二叉树;	This method firstly all kinds of other can be divided into degree, is obtained by using the SVDD is obtained by different subclasses of binary tree;
50365	然后分别对二叉树的各层结点进行编码并最终形成层次输出编码。	Then respectively to encode binary tree nodes of every layer and finally form the level of output encoding.
50366	在仿真实验中，对不同子类类群划分构成的基分类器的可分性进行了对比，	In simulation experiments, the different living groups constitute the base classifier divided into subclasses of separability are compared,