Imagery classification method of SVM is tested to landslide interpretation, so the situation of landslides is determined.
采用SVM影像分类方法试验解译滑坡灾害的可行性，最终确定滑坡在影像上的位置等信息。
To improve remotely sensed imagery classification accuracy is one of the main topics in the field of remote sensing application research.
提高计算机遥感影像的分类精度，是遥感应用中研究的主要问题之一。
In this paper the relaxation algorithms and their applications in image matching, edge extraction and remote sensing imagery classification are described.
本文阐述了松弛法算法及其在图象匹配、边缘抽取及遥感图象分类等方面的应用。
The UK Centre for Tobacco Control Studies has written to the British Board of Film Classification (BBFC) asking it to do just this to protect children from "particularly harmful imagery".
英国烟草控制研究中心已经将致信英国电影分级委员会（BBFC）要求提高级别，以便能保护青少年远离“有害影像”。
Based on the detailed analysis and pretreatment to the remote sensing imagery, we obtained relatively high precision classification result.
对遥感影像做了详细分析和预处理，在此基础上得到较高精度的分类结果。
In classification procedures, the associated geographic data are used as well as imagery, and knowledge is represented by rules.
利用它支持图像分类，在分类过程中，相关的地理数据得到使用，且用规则表示成像和知识。
Hyperspectral imagery feature extraction and classification is approached by combining with nation's 863-708 project and corresponding scientific assignments.
结合国家863- 708计划项目和相关科研课题，本论文探讨了高光谱影像特征提取与分类问题。
Traditional pixel-based classification method can not give a satisfied performance for High Resolution Imagery. Its accuracy of classification is far from productive demand.
传统的基于像素光谱信息分类的方法在对这些高分辨率的遥感影像分类时显得力不从心，所得到的精确度远远达不到生产的要求。
The self-organizing neural network classifier and particle swarm optimization-support vector machine were designed by author in this paper to use as classification method of motor imagery EEG.
其中自组织神经网络分类器和粒子群优化支持向量机是本文新设计的两种运动想象EEG分类方法。
In this paper, we propose a new method to extract the height of buildings applied on high-resolution remote sensing imagery based on object-oriented classification.
本文中提出了一种新的建筑物高度信息提取方法——基于分类的建筑物高度信息提取。
Therefore, it is very significant for research on feature extraction and classification based on spontaneous EEG brain-computer interface. Motor imagery EEG is a kind of spontaneous EEG.
因此对基于自发脑电信号的脑-机接口中特征提取和分类方法的研究具有很重要的意义。
It is concluded that the fusion of high spatial imagery and multi-spectral bands can enhance change information, and the fusion of texture character can improve the classification results.
通过高几何分辨率图像与多光谱波段融合方法可以，增强变化信息，纹理特征参与变化信息提取可以提高变化类型的分类精度。
The hybrid imagery crafted in the style of comic grotesque subverts the positivist epistemology and classification, and emanates a strong dynamic and pleasure of anthropomorphism.
此书以喜感怪诞的风格表现混种图像，违抗了实证的知识论和分类法。
The road density index analysis has two ways: the post-classification compare method based on spectral-spatial structure and the imagery difference method based on spectral-spatial structure.
道路密度指数分析法有两类方法：基于光谱—空间结构的分类后比较法和基于光谱—空间结构的图像差值法。
Classification the electroencephalogram (EEG) recorded during different motor imagery is a main branch of BCI research.
对运动想象脑电信号进行分类研究，是脑机接口研究领域的一个重要分支。
Classification the electroencephalogram (EEG) recorded during different motor imagery is a main branch of BCI research.
对运动想象脑电信号进行分类研究，是脑机接口研究领域的一个重要分支。
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