In this paper, we studied the spectral character of our study region in detail and based our classification system on the spectral character and our filed work.
仔细分析了研究区典型地物的光谱特征和同物异谱与异物同谱现象，并结合实地考察建立了分类体系。
Compared with the classification method purely based on spectral character, this method can improve the classification accuracy and refine object classes in some extent.
与单纯基于光谱特征的分类方法进行比较，该方法在一定程度上改善了分类精度，细化了地物类别。
Based on the analysis and experimental studies of infrared spectral character, the selective heating character was put forward besides the heat character of infrared radiation.
通过对水稻等农产物料进行了光谱特性分析和试验研究，提出红外辐射除了热特性之外，还有选择性加热特性的重要结论。
During the information detection and discrimination, the remote sensed data always represents three important characters: space character, spectral character and time character.
遥感数据源在信息提取和识别的过程中主要表现为三大特征：空间特征、光谱特征和时间特征。
Here we used Wavelet and spectral analysis to different kind seismic waves in volcanic area, in order to pick up their spectral character and determine the type of these earthquakes.
本文对火山区不同种类的地震波形运用小波分析和频谱分析的方法，希望能提取不同类型火山地震的一些频谱特征，确定火山地震的类型。
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 character and structure of instability of transversal wave disturbance is studied in this paper by using calculating the spectrum and spectral function of the transversal wave disturbance.
采用计算横波型扰动波谱和谱函数的方法，研究了当基本气流具有垂直线性切变、层结参数为常值时横波型扰动的不稳定，给出了不稳定扰动的结构，讨论了不稳定的性质。
This algorithm has higher spectral efficiency compared with present one. According to the character of sequenced optimal signal space in SC-FDE, we propose an algorithm called minimum power algorithm.
论文依据贪婪算法提出了SC-FDE中的最小功率算法，该算法需要回传信息量小，计算复杂度比较低。
This paper shows a recognition method for wool and cashmere fiber based on the character of the spectral line.
该方法先通过光学显微镜获得羊毛与羊绒的图像，然后经过图像处理得到羊毛与羊绒的表面信息；
This paper shows a recognition method for wool and cashmere fiber based on the character of the spectral line.
该方法先通过光学显微镜获得羊毛与羊绒的图像，然后经过图像处理得到羊毛与羊绒的表面信息；
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