The experimental results show that high correct classification rate and good tolerance to noise interference can be achieved for fusion recognition.
实验结果表明，该方法具有数据正确分类率高和抗噪能力强等优点，有效地实现了融合识别。
In this paper, the classification of data fusion and application merits of dissimilar-sensor data fusion are discussed at first.
首先介绍了数据融合的分类和异类传感器数据融合的应用优点。
The technology of joint target tracking and classification (JTC) is one of the fast emerging research focuses in the field of information fusion.
联合目标跟踪与分类(JTC)技术是信息融合领域新兴的一个研究方向。
Remote sensing image classification is an important means for quantified remote sensing image analysis, and remote sensing image fusion can effectively improve the accuracy of image classification.
遥感影像分类是遥感定量化分析的重要手段，遥感影像融合是提高分类正确率的有效途径之一。
The result shows that the fusion image using the modified Kohonen networks in better than that using the Kohonen networks only, and the classification accuracy is improved about 8 percent.
实验结果表明，应用基于改进的自组织映射网络模型进行融合，分类融合结果较好，较基于基本自组织映射网络的影像融合分类精度提高约8%。
But meanwhile, the data fusion coming from the coherence of different polarizations in the polarimetric data produces more error for lithological classification.
但是，由于不同极化状态回波信号之间的相关性，极化数据不可避免地产生数据冗余，反而增大了岩性分类的误差。
The work in this paper is mainly how to classification of foreground and background effectively using fusion of multiple features in the moving object detection and tracking.
本文主要工作针对运动目标检测和跟踪中的问题，研究运用多特征融合以更有效的完成前景运动目标和背景的分类。
Objective:To study on relationship between of BCR/ABL fusion gene expression and TCM syndrome classification in the patient of chronic myelogenous leukemia(CML).
目的：探讨慢性粒细胞白血病（CML）患者BCR/ABL融合基因表达与中医辨证分型的关系。
In order to protect the copyright of the vector graphics, in this paper we introduce a fusion rule for watermark detection of vector curves using SVM classification.
针对矢量图形的版权保护问题，提出了一种基于SVM分类融合的多矢量曲线水印检测方法。
In order to objectively describe duality and entity difference of commission behavior of stock index futures, this article explored and established the multi-classifiers fusion classification model.
为了能够客观描述股指期货委托行为所具有的二重性与实体差异性，本文探索建立了多分类器融合分类模型。
Discuss the method and technique about integrated multiple levels data fusion based on the characteristics of multi-sources Remote Sensing information fusion classification.
结合多源遥感信息融合分类的特点，在多级数据融合方法集成技术的基础上，初步形成一个对多源遥感信息融合分类的技术框架。
Perfume of traditional classification, conscious fusion modern business management idea in.
将香水传统的分类，有意识的融合在现代商业的经营理念里。
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 fusion image using SVM method outperformed the fusion image using SOFM networks method in terms of classification accuracy.
在分类精度方面，基于SVM方法的融合影像明显优于基于自组织神经网络方法的融合影像。
In classification stage, five kernel-based classifications are used and compared, and fusion methods are designed for wide-band polarimetric radar target classification.
在分类器设计环节，比较五种核非线性分类器，并根据宽带极化雷达目标散射数据的特点，使用融合分类的方法对目标进行分类。
According to the problem in the development of computer Remote Sensing image auto-classification, this paper does more detailed research in the area of feature and decision fusion classification.
本文针对遥感图像计算机自动分类中的问题，主要进行了以下几方面的研究工作。
English Name: welding consumables - wire electrodes, strip electrodes, wires and rods for fusion welding of stainless and heat resisting steels - Classification.
简体中文标题：焊接消耗品。不锈钢和耐热钢氧炔焊用焊丝电极、焊丝和焊条。分类。
At the end, it is demonstrated that evidential reasoning has extensive applications in the classification of remote sensing images through the fusion analysis of ERS SAR and TM image.
最后通过利用ERSSAR数据和TM影像进行融合分析，证明该方法在遥感图像自动分类中有很好的应用前景。
This paper researches several kinds of proposed classification methods of characteristic zones about fusion welded joint.
通过大量的熔化焊接头试样的观察和研究，提出了熔化焊接头特征区域划分新方案。
Traffic state classification accuracy was improved by a traffic state classification model based on the fusion of travel time studies using a probe vehicle and crossing data from fixed detectors.
为了提高道路交通状态判别精度，提出基于浮动车检测与感应线圈融合技术的道路交通状态判别模型。
Traffic state classification accuracy was improved by a traffic state classification model based on the fusion of travel time studies using a probe vehicle and crossing data from fixed detectors.
为了提高道路交通状态判别精度，提出基于浮动车检测与感应线圈融合技术的道路交通状态判别模型。
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