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Custom implementations of classification algorithms, including k-nearest neighbors for binary and multi-class problems, a perceptron for binary classification, and a one-vs-rest strategy for extending ...

Abstract: Self-attention-based approaches that leverage global context information for hyperspectral image (HSI) classification have gained increasing prominence. Nevertheless, due to the assignment ...

In this article, we propose a novel sample augmentation approach with threshold estimation (SATE) to improve both the quantity and quality of samples for hyperspectral remotely sensed image (HRSI) ...