混合像元

利用混合像元分解结合SVM提取城市绿地

Extracting urban green space with mixed pixel decomposing and SVM

作者提出的混合像元分解理论，使应用AVHRR资料实现冬小麦宏观监测成为可能。

The theory of decomposition of mixed pixel has made it possible to realize macro monitoring of winter wheat using low resolution AVHRR data .

基于SL-ICA算法的SAR图像混合像元分解

Decomposition of SAR images ' mixed pixels based on supervised learning ICA algorithm

基于SVM和PWC的遥感影像混合像元分解

Unmixing of Remote Sensing Images Based on Support Vector Machines and Pairwise Coupling

一种新的基于Fisher判别的混合像元分解算法：室内控制实验结果分析

New algorithm for spectral mixture analysis based on Fisher discriminant analysis : evidence from laboratory experiment

然而，利用SPOT数据进行地物辐射亮度和反射率的测量也有其高空间分辨率的优势，可以更精细地分辨各类地物的细节，降低混合像元对于定标分析的影响，提高定量遥感分析的准确度。

However , using SPOT high spatial resolution data can distinguish the ground objects efficiently in detail and improve the accuracy of radiometric calibration and quantification of remote sensing .

ERS风散射计反演地表参数&一种混合像元方法

Estimation of surface parameters with ers wind-scatterometer & a mixed-pixel method

应用神经网络模型分解AVHRR混合像元

The Study on Decomposing AVHRR Mixed Pixels by Means of Neural Network Model

ICA利用数据之间的高阶统计特性，既能实现对高光谱数据的降维，也能用于高光谱数据的混合像元分解。

ICA uses higher order statistical properties of the data , which can achieve dimensionality reduction of hyperspectral data and hyperspectral unmixing .

二元二次多项式可在实数范围内分解因式的判别法一种新的基于Fisher判别的混合像元分解算法：室内控制实验结果分析

New algorithm for spectral mixture analysis based on Fisher discriminant analysis : evidence from laboratory experiment judgement method of irreducible polynomial in two variables

并在NMF算法中加入适当的约束条件用于多通道混合像元分解问题。

In addition , some appropriate constrains are introduced into NMF for the decomposition of mixed pixels .

实验结果表明，使用并行处理后，多核CPu的效能被充分利用，混合像元分解的速度得到了大幅度的提高。

Experimental results show that , the multi-core CPU is utilized sufficiently after the execution of parallel processing , and the computational speed of unmixing has got an obvious improvement . 3 .

对TM图像采用线性混合像元分解、逻辑斯蒂非线性混合像元分解和灰色相关像元分解等三种方法进行混合像元的分解，以提取植被信息。

Three methods of interpreting mixed pixels were used to TM images , linear method , logistic nonlinear method and neighbor-field-based mixed pixel interpretation method , to extract the vegetation information , especially the small-region vegetation .

本文将模糊理论应用到混合像元分类中，采用模糊理论分类模型对TM遥感影像做了系统的理论分析和实验。

It can get kind result in classification of mixed pixel . This paper has carried on systematic theory analysis and experiment to TM remote sensing image with the classification model of the fuzzy theory . 1 .

可见，通过分区的多端元的Logit的混合像元分解，能在一定程度上解决混合像元的问题，提高绿地覆盖提取的精度。

Visible , mixed pixel decomposition used nonlinear Logit model with zoning , which to a certain extent solving mixed pixel problems , could improve the accuracy of green coverage extraction .

该文提出了基于PCM算法的遥感图像混合像元分解方法，并用监督分类方法实例说明PCM方法的优越性。

This paper proposes the pixel unmixing method of remotely sensed image based on PCM algorithm . The priority of the PCM is illustrated by an actual example in the supervised classification in this paper .

本文在详细分析了混合像元分解算法及GA进化原理的基础上，提出了用遗传算法进化模型拟合分解结果超平面，以实现混合像元分解并进一步分类的算法。

By researching the principles of the mixed pixel unmixing algorithm , this paper proposes a new GA-based method for mixed pixel unmixing and classification problems , which uses the GA evolution models to fit ( approximate ) the hyperplane of the unmixing results .

分别利用ISODATA、最大似然法、改进的线性混合像元分解方法对滇池的污染情况进行分类比较。

In this paper , we respectively applied ISODATA , maximum likelihood technique and the improved linear mixture model to classify the pixels and analyze the pollution of Dianchi lake .

采用AVHRR通道1与通道2的比值图像突出水体信息，在直方图上人机交互划定水陆边界，用统计数学方法确定了混合像元中水体与非水体的阈值。

The author projected water information by ratio images and of AVHRR channel 1 to channel 2 , and delimited water-land boundaries on histograms with the thresholds value of water and non-water in mixed pixels using statistical method .

据Carder（1995），Christtopher（1998）等的研究结果，当空间分辨率大于250m时，邻近效应的影响作用超过混合像元影响作用。

According to the results of carder ( 1995 ) and Christopher ( 1998 ), the influence of adjacency effect exceeds that of mixed pixels when the spatial resolution is greater than 250 m.

分类试验证明，该系统能比较明显地削弱混合像元和地形阴影的影响，分类精度较无监督分类法提高了14.22%，Kappa指数为0.7556，达到区别森林类型的分类目的。

The classification precision of this system was increased by 14.22 % , compared with that of Iterative Self-Organizing Data Analysis Techniques Algorithm ( ISODATA ) unsupervised classification , and the Kappa index was 0.7556 , which could help to classify needle , deciduous and mixed forests .

文中讨论了各种混合像元分解算法，选择最小距离分类法、光谱角分类法作为IIM的影像分析模型，将该方法用于CE-1的光谱反射率数据，得到的结果现有的理论是基本一致的。

Different kinds of algorithms of pixel unmixing are discussed and compared . The minimum distance and spectrum angle mapper method are chosen as analyzing model for IIM data . Results show that the mineral distribution in the image is basically identical to the theory known to people in nowadays .

基于形态学和支持向量的遥感图像混合像元分解

Unmixing Remote Sensing Imagery Based on Morphology and Support Vector Machines

一种新的遥感图像混合像元分解方法

New scheme for decomposition of mixed pixels of remote sensing images

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。

This paper introduced an improved method of spectral unmixing of rem.

模糊理论在混合像元分解方面具有很好的理论优势，将其应用在混合像元分类中有很好的效果。

Fuzzy theory is the effective method of classification of mixed pixel .

基于支撑向量机概率输出的高光谱影像混合像元分解

Unmixing of Hyperspectral Imagery Based on Probabilistic Outputs of Support Vector Machines

利用混合像元线性分解模型提取卧龙泉地区粘土蚀变信息

Extraction of alteration information with linear model of mixed pixel

基于光谱维小波特征的混合像元投影迭代分解

Projective Iterative Unmixing of Hyperspectral Image Based on Spectral Domain Wavelet Feature

基于混合像元分解的水体遥感图像去云法

Cloud-Moving of Water RS Image Based on Mixed Pixel Model