Hyperspectral image classification based on faster residual multi-branch spiking neural network

Yahui Li, Yang Liu, Rui Li, Liming Zhou, Lanxue Dang, Huiyu Mu, Qiang Ge

Abstract: Highlights•Hyperspectral image classification algorithm applied to edge computing devices.•Constructed a spiking neural network for hyperspectral image classification tasks.•Designed an approximate derivatives for training spiking neural networks.•Significant reduction in required training time, testing time, and time steps.