| 1. | Feature extraction and recognition of infrared target based on wavelet and neural network
基于小波和神经网络的红外目标特征提取与识别 |
| 2. | An empirical study of the characteristics of target firms of m amp; amp; a among china ' s list companies
我国上市公司并购目标特征的实证研究 |
| 3. | A measure method of relative position and attitude between spacecrafts based on target feature
一种基于目标特征的航天器间相对姿态测量方法 |
| 4. | The results of experiment indicate that method is valuable for target classification
实验结果表明这种方法简便可行，提取的目标特征稳定有效，神经网络分类效果良好。 |
| 5. | This paper emphasizes on researching how to classify object based on feature vector having uncertainty
本论文则主要研究了如何根据具有不确定性的目标特征向量来识别目标。 |
| 6. | 3 . usually , object features include gray - scale ( density , colour ) , fexture , geometry shape , and so on
3 、常见的目标特征可分为灰度(密度、颜色)特征、纹理特征和几何形状特征等。 |
| 7. | We introduce and improve two detection methods : the extended fractal ( ef ) detection and the quadratic gamma detection
引入并改进了两种利用目标特征进行检测的方法: ef特征检测和基于二次gamma核的目标检测。 |
| 8. | Methods of feature extraction and classification of target in model - based sar atr using feature are studied systemically in this paper
本文系统研究了利用特征基于模型saratr系统中， sar图像目标特征提取方法和分类方法。 |
| 9. | Then , the thesis analyzes how to use color as a cue to track . the color histogram and intersecting algorithm is applied
详细分析了如何将颜色作为目标特征跟踪:采用颜色直方图表示目标颜色特征,由直方图相交算法得到颜色相似性度量。 |
| 10. | By using pattern recognition theory , we studied target characteristics extract and recognition , as well as neural net recognition algorithm
运用模式识别的理论，研究对目标特征提取和识别的方法。探讨了利用神经网络技术进行目标识别的方法。 |
