Abstract: A new modeling framework integrating Ramer-Douglas-Peucker (RDP) non-uniform sampling (NUS) with a Long Short-Term Memory (LSTM)-Fully Connected Network (FCN) hybrid neural network (LFN) is ...
Abstract: Data-driven hyperspectral classification has gained significant attention across various applications, leading to the development of numerous novel neural networks for effective ...
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