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Sparse representation-based color visualization method for hyperspectral imaging

ISSN号：1672-7975
期刊名称：《应用地球物理：英文版》
时间：0
分类：TP311.13[自动化与计算机技术—计算机软件与理论;自动化与计算机技术—计算机科学与技术] TN911.73[电子电信—通信与信息系统;电子电信—信息与通信工程]
作者机构：[1]Harbin Engineering University, College of Information and Communication Engineering, Heilongjiang Province Harbin,150001, China
相关基金：This research was supported by the National Natural Science Foundation of China （Grant No. 61275010, 61077079）, the State Key Program of National Natural Science Foundation of Heilongjiang Province of China （No. ZD201216）, and the Fundamental Research Funds for the Central Universities （No. HEUCF 130820）.Acknowledgements The authors would like to extend their sincere thanks to Dr. Xiuping Jia and Dr. Adam Charles for discussion and proofreading.

作者： Wang Li-Guo Liu Dan-Feng Zhao Liang[1]

关键词：稀疏表示, 彩色显示, 可视化方法, 光谱成像, 可视化模型, 光谱图像, 混合像素, 高光谱数据, Hyperspectral, color visualization, sparse representation, multilayer visualization

中文摘要：

在这份报纸，我们为整个 hyperspectral 图象的稀少的表示设计了一个颜色可视化模型，在哪个，不是仅仅光谱在稀少的表示的信息而且整个图象的空间信息被保留。在稀少的表示后面，稀少的编码字典的有效元素的颜色标签根据稀少的系数被选择然后混合图象被显示。产生图象维持光谱距离保藏并且好可分性。为本地地面对象，建议单个象素的混合数组和改进面向的裂片质地方法是综合的显示每个象素的特定的作文。这也在混合象素颜色显示和罐头避免颜色演讲的混乱被用来重建原来的 hyperspectral 数据。最后，模型有效性用真实数据被证明。这个方法是有希望的并且能在许多地里发现使用，例如精力探索，环境监视，灾难警告等等。

英文摘要：

In this paper, we designed a color visualization model for sparse representation of the whole hyperspectral image, in which, not only the spectral information in the sparse representation but also the spatial information of the whole image is retained. After the sparse representation, the color labels of the effective elements of the sparse coding dictionary are selected according to the sparse coefficient and then the mixed images are displayed. The generated images maintain spectral distance preservation and have good separability. For local ground objects, the proposed single-pixel mixed array and improved oriented sliver textures methods are integrated to display the specific composition of each pixel. This avoids the confusion of the color presentation in the mixed-pixel color display and can also be used to reconstruct the original hyperspectral data. Finally, the model effectiveness was proved using real data. This method is promising and can find use in many fields, such as energy exploration, environmental monitoring, disaster warning, and so on.

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