Spatio-Temporal Pruning for Training Ultra-Low-Latency Spiking Neural Networks in Remote Sensing Scene Classification

Spatio-Temporal Pruning for Training Ultra-Low-Latency Spiking Neural Networks in Remote Sensing Scene Classification

In remote sensing scene classification (RSSC), restrictions on real-time processing on power consumption, performance, and resources necessitate the compression of neural networks. Unlike artificial neural networks (ANNs), spiking neural networks (SNNs) convey information through spikes, offering su...

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Bibliographic Details
Main Authors: Jiahao Li, Ming Xu, He Chen, Wenchao Liu, Liang Chen, Yizhuang Xie
Format: Article
Language:English
Published: MDPI AG 2024-08-01
Series:Remote Sensing
Subjects:
spiking neural networks
ultra-low latency
remote sensing scene classification
Online Access:https://www.mdpi.com/2072-4292/16/17/3200

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https://www.mdpi.com/2072-4292/16/17/3200

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