Gerbil - A Novel Software Framework for Visualization and Analysis in the Multispectral Domain
Gerbil - A Novel Software Framework for Visualization and Analysis in the Multispectral Domain
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Gerbil - 多光谱领域可视化和分析的新型软件框架
DOI：
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发表时间：
2010
期刊：
影响因子：
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通讯作者：
E. Angelopoulou
中科院分区：
文献类型：
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作者：
Johannes Jordan;E. Angelopoulou
多光谱成像越来越受欢迎，并逐渐应用于遥感以外的许多领域。多光谱数据通常提供有关材料分类和反射率分析的独特信息。然而，由于数据的高维性，人类观察者和计算机都难以解释如此丰富的信息。我们提出了一个新的软件包，可以以一种新颖的方式促进光谱和拓扑信息之间关系的可视化。它强调光谱梯度，事实证明光谱梯度可以为许多反射率分析任务提供增强的信息。它还包括一个丰富的工具箱，用于评估多光谱域中的图像分割和其他算法。我们将平行坐标可视化技术与散列技术相结合，以在光谱分布、光谱梯度和拓扑之间建立高度交互式的视觉连接。该框架以开源方式发布，具有现代的跨平台设计，并且可以很好地集成到现有的计算机视觉软件（OpenCV）中。
Multispectral imaging has been gaining popularity and has been gradually applied to many fields besides remote sensing. Multispectral data provides unique information about material classification and reflectance analysis in general. However, due to the high dimensionality of the data, both human observers as well as computers, have difficulty interpreting this wealth of information. We present a new software package that facilitates the visualization of the relationship between spectral and topological information in a novel fashion. It puts emphasis on the spectral gradient, which is shown to provide enhanced information for many reflectance analysis tasks. It also includes a rich toolbox for evaluation of image segmentation and other algorithms in the multispectral domain. We combine the parallel coordinates visualization technique with hashing for a highly interactive visual connection between spectral distribution, spectral gradient and topology. The framework is released as open-source, has a modern cross-platform design and is well integrated into existing established computer vision software (OpenCV).