该文介绍了一种改进的混合像元分解方法。
This paper introduced an improved method of spectral unmixing of rem.
采用决策树和混合像元分解模型进行建设用地信息提取。
In this paper, the information of construction land-use is extracted by the decision tree and mixed pixel decomposition model.
提出一种新的对多通道遥感图像进行混合像元分解的方法。
A new method for the decomposition of mixed pixels of multi-channel remote sensing images is proposed.
最后就理论推导的结论，讨论了提高混合像元分解精度的可能方法。
Suggestions for improving abundance estimation of linear spectral mixture model are then proposed according to the theory deduction.
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。
Great achievements in some aspects such as pure pixel extraction, spectral unmixing, matched filtering and spectral feature fitting have been made.
为提高中分辨率遥感影像在城市研究中的应用，必须解决混合像元分解的问题。
To improve the accuracy of Medium-Resolution image in urban studies, we must solve the problem of decomposition for the mixed pixel.
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。
Experimental results show that the proposed method is able to obtain good unmixing results, and robust to noises.
基于主分量分析的混合像元分解算法是一种较为成熟的算法，但它存在着计算量大，适应性差等缺点。
Mixed image cells decomposition algorithm based on principle component analysis is a widely used algorithm, but the large computation amount and less flexibility are its main drawbacks.
提出了一种新的基于像元信息分解和神经网络分类相结合的城市绿地遥感信息自动提取方法。
A new automatic classification model of remote sensing image using pixel information decomposition combined with neural network classification is proposed in this paper.
该文模拟不同空间分辨率的遥感图像中混合像元造成的误分类情况，同时应用线性模型对混合像元进行了分解提纯，用以提高分辨率精度。
This article simulates misclassification because of mixed pixels on different spatial resolution images, then applies linear model to decompose mixed pixel, so as to improve classification accuracy.
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。
In order to improve the precision of remote sensing application, resolving the problem of unmixing the mixed pixels should be done.
提出了一种新的基于像元信息分解和神经网络分类相结合的城市绿地遥感信息自动提取方法。
It can be found that the mixed pixel decomposing is a good method to extract information from the remote sensing images with less spatial resolution.
在使用混合像元线性分解基本模型的同时，也结合研究目标对其进行了改进与补充，效果令人满意，为中等植被覆盖区的专题信息的提取提供了一种方法。
Field survey and other information show that the practice of this paper can be adopted to extract thematic information for such areas with medium vegetation cover.
提出一种利用光谱滤波器进行遥感图像混合像元全约束分解的新算法。
The presentation of mixtures not only influences the performance of image classification and target recognition, but also is an obstacle to quantitative analysis of remote sensing images.
提出一种利用光谱滤波器进行遥感图像混合像元全约束分解的新算法。
The presentation of mixtures not only influences the performance of image classification and target recognition, but also is an obstacle to quantitative analysis of remote sensing images.
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