Multi-Spectral Image Classification with Ultra-Lean Complex-Valued Models. (arXiv:2211.11797v1 [cs.CV])

Multi-spectral imagery is invaluable for remote sensing due to different
spectral signatures exhibited by materials that often appear identical in
greyscale and RGB imagery. Paired with modern deep learning methods, this
modality has great potential utility in a variety of remote sensing
applications, such as humanitarian assistance and disaster recovery efforts.
State-of-the-art deep learning methods have greatly benefited from large-scale
annotations like in ImageNet, but existing MSI image datasets lack annotations
at a similar scale. As an alternative to transfer …

arxiv classification image lean