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- The result indicates that vegetation abundance estimation based on linear spectral mixture model can reach high accuracy. 研究结果表明,线性光谱混合模型估算城市植被覆盖度能够达到较高精度。
- The error analysis of linear spectral mixture model based on error propagation law and value simulation has investigated to exposure their relationships. 摘要从误差传播理论的角度，分析了多选端元光谱、漏选端元光谱以及端元内部光谱变化等情况与混合像元分解精度之间的关系。
- Extracting Loquat Thematic Information Based on Linear Spectral Mixture Models 基于线性光谱混合模型的遥感影像枇杷树信息提取
- spectral mixture model 线性混合光谱模型
- linear spectral mixture model 线性光谱混合模型
- Based on the real-world Raman spectral signals, we investigated the proposed algorithm for estimating mixture model parameters, then verified the constructed spectral pattern recognizer. 利用实际的拉曼光谱，对本文所提出的估计模型参数的算法与建立的光谱识别器进行了检验。
- This paper takes Nanjing city as an example, utilizes ETM+ remotely sensed data and a normalized spectral mixture analysis method to monitor the urban composition. 本又以南京城市为例，结合ETM+遥感影像，利用归一化光谱混合分析方法来监测城市地表类型组成。
- Based on finite Gaussian mixture model of the EM algorithm source code, which has run reports and experimental results. 详细说明:基于有限高斯混合模型的EM算法的源程序代码,里面有实验报告和运行结果。
- Then, built the color model for background and foreground utilizing the GMM (Gaussian mixture model). 然后利用高斯混合模型建立其前景和背景区域的颜色模型；
- So the enthalpy must be calculated by the real mixture model when analyzing the humidifier of HAT cycle. 因此,HAT循环饱和器分析应按实际混合气体模型计算湿空气的焓值。
- Then selects the vegetation, impervious surface and shade as endmembers and monitoring the urban compositon using a constrained linear spectral mixture analysis on the normalized reflectance image. 然后选取了植被、不透地表和阴影三种组分，对归一化反射率图像使用限制的线性光谱混合分析来研究城市组成。
- We use the fixed-arithmetician DSP chip (chipboard) in the DSP, the algorithm of recognition is Gaussian mixture model. DSP方面使用的是定点运算的DSP板，而辨识的演算法是利用高斯混合模型。
- At last, this paper compared the results of SMA used before and after normalizing operation and validates, that this method can improve the accuracy of spectral mixture analysis effectively. 最后对归一化前后的光谱混合分析结果进行了比较，证实了本方法可有效提高光谱混合分析的精度。
- It uses Gassian mixture model to represent particles and adopts EM algorithm to refit particles after correction step at each time. 该算法使用混合高斯模型表示粒子，在每个时刻的修正步骤之后，采用em算法对粒子进行重新拟合。
- The system is characterized by adopting the mixture model of C/S and B/S and using the key code as identity recognition. 文中主要是从身份的识别和密钥生成、分配、传递体系，这两个方面分析和解决系统的安全问题。
- Gaussian mixture model(GMM) has been widely used for text-independent speaker recognition.This method has simple and efficient character. 高斯混合模型(GMM)已广泛地应用于文本无关的说话人识别系统,该方法具有简单高效的特点。
- This dissertation adopts ASR based on Gaussian Mixture Model (GMM), so re-search emphasizes on robust features and speech enhancement techniques. 消除噪声所带来的失配可以映射到信号空间、特征空间和模型空间。
- Gaussian mixture model (GMM) is first trained for grass pixel, the grass distribution is then computed based on the trained GMM. 首先利用高斯混合模型(GMM)对草地颜色建模，然后利用已建立的GMM计算出每个镜头的草地颜色分布特征。
- It is focused on the typical clustering methods-Gaussian mixture model (GMM) and its variant to demonstrate the feasibility of the framework. 文中用典型的聚类型方法高斯混合模型来说明该框架的可行性。
- linear spectral mixture analysis(LSMA) 线性光谱混合分析
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- 深远海浮式风电平台 - deep-sea floating wind power platform
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- 京雄高速公路 - Beijing-Xiongan expressway
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- 农业及相关产业增加值 - the added value of agriculture and related industries
