Bayesian Convolutional Neural Networks for Limited Data Hyperspectral Remote Sensing Image Classification. (arXiv:2205.09250v1 [cs.CV])

Employing deep neural networks for Hyper-spectral remote sensing (HSRS) image
classification is a challenging task. HSRS images have high dimensionality and
a large number of channels with substantial redundancy between channels. In
addition, the training data for classifying HSRS images is limited and the
amount of available training data is much smaller compared to other
classification tasks. These factors complicate the training process of deep
neural networks with many parameters and cause them to not perform well even
compared to …

arxiv bayesian classification convolutional neural networks cv data image networks neural networks remote sensing