数据压缩是高光谱图像处理应用中的一个关键问题。
Data compression is a key problem in the applications of hyperspectral images.
图像分类是高光谱遥感图像分析与应用的重要手段。
Classification is an important means for analysis and application of hyperspectral images.
提出一种对高光谱遥感影像波段集合进行整体缩减的方法。
In this paper, a rough sets based global reduction approach, which is suitable for imaging spectrometer image is proposed.
提出了一种基于分段主成分分析的高光谱图像波段选择算法。
A segmented PCA based band selection algorithm of hyperspectral image is proposed.
该文提出了一种基于投影追踪的高光谱图像异常点检测方法。
In this paper, a new method of hyperspectral anomaly detection based on project pursuit is presented.
高光谱成像系统的应用效果非常依赖仪器获取图像的信噪比。
The application effect of the hyperspectral imaging system heavily relies on the signal to noise ratio.
然而，传统的影像分析方法并不能满足高光谱遥感的应用需求。
However, the conventional image analysis methods can not meet the requirements of hyperspectral image applications.
首先采用自适应波段选择方法对高光谱遥感图像进行谱间压缩。
At first, adopt the Adaptive Band Selection to compress spectrum dependence of hyperspectral remote sensing image.
但由于各种因素影响，高光谱图像受到了严重的条带噪声干扰。
However, because of the affection of various factors, hyperspectral images are usually seriously corrupted by stripe noises.
一种基于线性预测和算术编码的高光谱图像压缩方法，希望对您有用。
Based on linear prediction and arithmetic coding of hyperspectral image compression, and I hope useful for you.
通过模糊聚类，得到对高光谱遥感影像原始波段集合的模糊等价划分。
Using fuzzy clustering, the original bands set of hyperspectral remotely sensed images is divided into some fuzzy equivalent subset.
事实上，有很多高光谱的应用研究并不需要用到高光谱图像的全部信息。
In fact, however, some researches don't need all information of hyperspectral images.
在高光谱图像处理中，光谱匹配技术是高光谱地物识别的关键技术之一。
In the hyperspectral image processing, spectral match technique is one of the key techniques to identify and classify the material in the image.
使用这个高光谱数据，科学家已经为冰面硫磺沉积物的位置绘制了地图(红色轮廓)。
Using this hyperspectral data, scientists have mapped the location of sulfur deposits on the ice surface (red outline).
使用这个高光谱数据，科学家已经为冰面硫磺沉积物的位置绘制了地图(红色轮廓)。
Using this hyperspectral data, scientists have mapped the location of sulfur deposits on the ice surface (green outline).
高光谱图像压缩技术是遥感数据存储和传输中的一个迫切需要解决的问题。
The compression technology of hyperspectral image is a key problem to be solved in the storage and transportation of remote sensing data.
高光谱遥感影像具有丰富的光谱信息，在地物分类识别方面具有明显的优势。
The hyperspectral remote sensing image is rich in spectrum information, so it can be better to carry on the ground targets classification.
它在保证国际空间站安全的情况下可以使用高分辨率相机和遥感高光谱图象处理技术摄像机。
It enables the operation of high-resolution cameras and multi - or hyperspectral imagers from within the pressurized safety of the ISS.
实验结果表明了基于动力演化算法的投影寻踪在高光谱影像异常目标检测中的有效性。
The experimental results show that the Projection Pursuit based on dynamical evolutionary approach is an effective means to detect anomaly target in hyperspectral images.
实验结果表明，本文给出的高光谱遥感影像优化分类波段组合选择方法是非常有效的。
The experiment results indicate that the optimal classification bands combination selecting approach supplied in this paper is quite effective.
高光谱图像分割实验结果表明该方法在光谱相似性度量上优于传统的光谱角制图方法。
Experimental results of Hyperspectral image segmentation show that our method is better than traditional spectral Angle mapping method.
与常规遥感相比，高光谱遥感数据处理及目标地物的识别需要采用一些新的技术和手段。
Compared with traditional remote sensing, some new technique and method must be developed for hyperspectral remote sensing data processing and object discerning.
高光谱图像间存在着大量的冗余信息，波段选择能够有效地去除冗余信息从而减少计算量。
There is great redundancy information in hyperspectral image and band selection can effectively remove it and reduce computational cost accordingly.
本文在深入分析高光谱数据特点的基础上，系统地研究了基于光谱维的图像异常检测方法。
Based on the analysis of characteristics of hyperspectral imagery, the methods of anomaly detection are studied systematically in this paper.
实验也表明，选择合适的对称化方法规范扩散算子对于最终的高光谱影像表示有重要的影响。
Experiments also show that selecting suitable symmetrization normalization techniques while forming the diffusion operator is important to hyperspectral imagery representation.
与传统高光谱无监督分类算法比较，表明该算法的适用性，并具有更高的分类精度和准确性。
Moreover, compared with the conventional unsupervised classification algorithm of hyperspectral data, the proposed algorithm is more applicable and can obtain the better precision and accuracy.
另外，根据图像特征和经验对图像进行波段选择，也是改善高光谱遥感分类效果的有效途径。
In addition, the spectral selection based on the image's feature and experience is also an effective way to improve the classification of hyper-spectral remote sensing images.
研究区内野外采集的土壤样品经自然烘干、过筛后，分别进行土壤理化性质分析和高光谱测试。
After the natural drying and sieving of soil samples collected from field, physic-chemical property analysis and hyperspectral measurement were carried out in laboratory.
文中采用模糊识别的绝对值指数法对高光谱图像进行识别分类，并对分类结果进行像元级的评价。
The article used absolute exponent as one of the methods of fuzzy diagnosis to identify and classify hyperspectral images, then evaluated precision of classification result based on pixel level.
文中采用模糊识别的绝对值指数法对高光谱图像进行识别分类，并对分类结果进行像元级的评价。
The article used absolute exponent as one of the methods of fuzzy diagnosis to identify and classify hyperspectral images, then evaluated precision of classification result based on pixel level.
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