Image-classification

This post provides an introduction to satellite imagery classification, and an overview of how models are trained in practice.

Here is a graph-in-graph (GiG) model and a related GiG convolutional network (GiGCN) for HSI classification from a superpixel viewpoint.

Satellighte is a Python image classification library with a purpose to establish a light structure to classify satellite images, but to obtain robust results.

Million-AID is a large-scale benchmark dataset containing a million instances for remote sensing scene classification.