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Batch Active Learning for Multispectral and Hyperspectral Image Segmentation Using Similarity Graphs. Graph learning, when used as a semi-supervised learning (SSL) method, performs well for classification tasks with a low label rate. We provide a graph-based batch active learning pipeline for pixel/patch neighborhood multi- or hyperspectral image segmentation.