Sparse Representation-Based Nearest Neighbor Classifiers for Hyperspectral Imagery.

In this letter, a sparse representation-based nearest neighbor (SRNN) classifier is proposed. Unlike the traditional k-nearest neighbor (NN) classifier that employs the Euclidean distance as similarity metric, the proposed SRNN considers sparse coefficients to determine the label of testing samples, since sparse coefficients can reflect the similarity between data and provide more discriminative i...