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Hyperspectral imaging has drawn significant attention in recent years, and its application to object detection and classification is currently an important research topic. However, finding a method to accurately identify objects that only occupy a very small part of an image area remains to be a challenge. In this paper, a novel two-stage deep learning-based hyperspectral neural network (2SHyperNet)...
In the compression technique of hyperspectral image (HSI), PSNR of the reconstructed image is usually used for evaluating the performance of the coding results. For the spectral analysis applications of HSI, it is also important to consider the error in the result of spectral analysis. In the vegetation analysis, for example, the distortion of the vegetation index should be considered in addition...
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