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This paper presents a novel hyperspectral image (HSI) classification method to effectively exploit the 3D spectral-spatial information via superpixel-based 3D deep neural networks (3D DNNs). Superpixel can represent the structure of HSI with adaptive sizes and shapes, and therefore, it is incorporated into 3D DNNs to improve the classification performance, especially for noisy classification and boundary...
The intrinsic information of a graph can be fully encoded into its spectrum and corresponding eigenvectors of its adjacency matrix, which provides a solid foundation for the success of spectral graph matching methods. The spectral multiplicity, however, may significantly affect the matching accuracy. In this paper, we propose a spectral-multiplicity-tolerant graph matching approach. We start from...
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