For hyperspectral image classification, we present a novel graph based semi-supervised classification method that learns from similarity and dissimilarity on labeled and unlabeled data, which contain ...

In this paper, we have developed a radiometric brightness normalization based approach by using digital elevation data and local statistics for topographic correction from hyperspectral remote sensing ...