Hyperspectral Image Classification via Weighted Joint Nearest Neighbor and Sparse Representation
Hyperspectral Image Classification via Weighted Joint Nearest Neighbor and Sparse Representation is a scholarly work, published in 2018 in ''IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing''. The main subjects of the publication include political representation, Euclidean distance, k-nearest neighbors algorithm, artificial intelligence, computer science, Gaussian, remote sensing, facial recognition system, residual, pixel, mathematics, pattern recognition, Sparse modeling, and hyperspectral imaging. Recently, many studies show that joint region of test samples can make full use of the spatial information of hyperspectral image.