Deep Recurrent Neural Networks for Hyperspectral Image Classification

Short summary

A novel Recurrent Neural Network (RNN) model effectively classifies hyperspectral images by treating pixel data as sequences, outperforming existing vector-based methods and introducing a new activation function, PRetanh, for stable high learning rates.

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