The Fanshan phosphorus-rich magma experienced unmixing and hence produced three sorts of immiscible liquids:pyroxenitic magma, syenitic magma and phosphate melt.
梵山富含磷的岩浆经历了解体，因此产生了三种不混溶的液体：高岭土岩浆，叠合岩浆和磷酸盐熔体。
This paper introduced an improved method of spectral unmixing of rem.
该文介绍了一种改进的混合像元分解方法。
Experimental results show that the proposed method is able to obtain good unmixing results, and robust to noises.
实验结果表明，该方法有较好的混合像元分解结果，同时具有较强的抗噪声能力。
In order to improve the precision of remote sensing application, resolving the problem of unmixing the mixed pixels should be done.
为了提高遥感应用的精度，就必须解决混合像元的分解问题。
Great achievements in some aspects such as pure pixel extraction, spectral unmixing, matched filtering and spectral feature fitting have been made.
在纯净像元提取、混合像元分解、匹配滤波、光谱特征拟合等方面进行了探索。
Simulation results indicate that the unmixing accuracy of the proposed method is improved by 10% higher than that of the traditional methods and is also high in efficiency.
仿真试验中，本文方法比传统方法在解译精度上提高了10%，表明了该方法具有良好的解译效果。
The larger the dimension is, the more the visual patterns emerge. (2) A new method for texture segmentation by using the learned TICA unmixing bases as filters is implemented.
通过TICA从观测纹理图像学习图像分离基，并将其转化为一组滤波器，实现了一种无监督纹理分割算法。
These four classification results mentioned above are compared, it also concludes that the classified precision of fraction image classification after linear unmixing is highest.
将前述四种分类结果进行比较，结论说明线性分解后丰度图像分类精度最高。
This paper probes emphatically into the accuracy uncertainty of LSMM from atmospheric condition and terrain undulation by taking unmixing vegetation abundance based on LSMM as an example.
本文以线性光谱模型提取植被分量为例，探讨环境大气条件、地形因素对模型精度影响的不确定性。
In traditional spectral unmixing method based on linear spectral mixing model (LSMM), unmixing accuracy is deteriorated both by the deficiency of the model and the participation of unrelated classes.
在传统基于线性光谱混合模型的光谱解译方法中，模型自身的不足以及在光谱解译过程中无关类别的参与都影响着解译效果。
In traditional spectral unmixing method based on linear spectral mixing model (LSMM), unmixing accuracy is deteriorated both by the deficiency of the model and the participation of unrelated classes.
在传统基于线性光谱混合模型的光谱解译方法中，模型自身的不足以及在光谱解译过程中无关类别的参与都影响着解译效果。
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