Hyperspectral imaging systems provide dense spectral information on the scene under investigation by collecting data from a high number of contiguous bands of the electromagnetic spectrum. The low spatial resolutions of these sensors frequently give rise to the mixing problem in remote sensing applications. Several unmixing approaches are developed in order to handle the challenging mixing problem on perspective images. On the other hand, omnidirectional imaging systems provide a 360-degree field of view in a single image at the expense of lower spatial resolution. In this study, we propose a novel imaging system which integrates hyperspectral cameras with mirrors so on to yield catadioptric omnidirectional imaging systems to benefit from the advantages of both modes. Catadioptric images, incorporating a camera with a reflecting device, introduce radial warping depending on the structure of the mirror used in the system. This warping causes a non-uniformity in the spatial resolution which further complicates the unmixing problem. In this context, a novel spatial–contextual unmixing algorithm specifically for the large field of view of the hyperspectral imaging system is developed. The proposed algorithm is evaluated on various real-world and simulated cases. The experimental results show that the proposed approach outperforms compared methods.

中文翻译：

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折反射式高光谱成像，一种混合​​方法

高光谱成像系统通过从大量电磁光谱的连续波段收集数据，在被调查的场景上提供密集的光谱信息。这些传感器的低空间分辨率经常在遥感应用中引起混合问题。为了解决透视图像上具有挑战性的混合问题，开发了几种解混合方法。另一方面，全向成像系统会以较低的空间分辨率为代价在单个图像中提供360度视野。在这项研究中，我们提出了一种新颖的成像系统，该系统将高光谱相机与反光镜集成在一起，从而产生折反射全向成像系统，从而受益于这两种模式的优势。折反射图像，包括带有反射装置的照相机，根据系统中使用的反射镜的结构引入径向翘曲。这种翘曲引起空间分辨率的不均匀，这进一步使解混问题复杂化。在这种情况下，专门针对高光谱成像系统的大视场开发了一种新颖的空间-上下文分离算法。所提出的算法在各种实际情况和模拟情况下进行了评估。实验结果表明，该方法优于比较方法。所提出的算法在各种实际情况和模拟情况下进行了评估。实验结果表明，该方法优于比较方法。所提出的算法在各种实际情况和模拟情况下进行了评估。实验结果表明，该方法优于比较方法。