光传感器目标识别则是在取得目标的反射特性和辐射特性（光谱）后提取其特征进行识别。
Optical sensor target recognition extracts the characteristic of target to perform target recognition after having acquired its reflection and radiation (spectra) characteristics.
改进基于投影密度的计算，进行地形、地物分离，并提取其特征信息，得到基本的三维激光模型。
Based on the computing of projection density, it separates the terrain and the objects, extracts the feature information, and gains the basic 3d laser model.
如何对这类信号进行有效分析，提取其特征，开发新型的保护装置，一直是电力系统保护技术中的重要研究领域。
How to analyse this kind of signals and draw out their features to develop new protection device is an important research domain in the protection technology of power system all the time.
最后提出了一种半自动的目标分割方法，实验仿真结果表明论文提出的算法可以有效地分割出运动目标并提取其特征。
Finally, we proposed a semi-automatic target dividing method. The simulation results showed that we could get moving target by dividing and extracting features using the proposed algorithms.
这种方法可捕获图像中所有单连通域，并能准确地提取其特征量，然后依据所提取的特征量设计分类器，实现对图像中所有单连通域进行分类识别并加以跟踪的目的。
The method can capture the single connected component in image and extract it"s feature. According to the feature, the method of categories to recognize entire single connected components is design."
即先将样本网页进行解析，提取其中感兴趣数据项的特征。
The sample page is parsed and all characteristics of interested data items are saved at first.
图像分割和特征提取，是将摄影图像里的目标物体与其周围的景物分割，并且获取其特征点数据的方法和技术。
The method of image segmentation and feature extraction is to segment a individual tree from its surrounding sceneries in the photography image of the woodland, and mark the feature points.
利用多波段偏振CCD相机在光学与红外波段测试伪装涂层的偏振散射特征，并提取其中的偏振信息，研究了测试条件对涂层材料散射偏振度的影响。
The multispectral polarization CCD camera was used to gain the polarimetric characteristics of camouflage coatings in visible and infrared wave band, and the polarimetric information was got.
然后，采用小波包对采集的铣削力信号进行分解和消噪处理，并提取其能量特征作为BP神经网络的输入向量。
Then, wavelet packet was used to decompose and de-noise the milling force signal, as well as extracts the signals 'energy characteristics as import vectors of BP Neural Network.
对微地震信号预分段，用小波提取其频率谱中的频率特征，得到了频率变化的四种趋势。
The signals were divided into segments and the frequency spectra were got and the frequency features were achieved and 4 types of variation of frequency were found.
对微地震信号预分段，用小波提取其频率谱中的频率特征，得到了频率变化的四种趋势。
The signals were divided into segments and the frequency spectra were got and the frequency features were achieved and 4 types of variation of frequency were found.
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