Despite the rapid progress of neuromorphic computing, inadequate capacity and insufficient representation power of spiking neural networks (SNNs) severely restrict their application scope in practice.

We propose a new pipeline to classify Ground Penetrating Radar (GPR) images, based upon the use of second-orders statistics computed over convolutional features of a ResNet-like architecture. In ...