Orthophoto segmentation for outcrop detection in the boreal forest

Abstract

This experiment borrows an artificial neural network architecture originally developed in the field of biomedical imaging and applies it to the processing of orthophotos (orthorectified Earth observation images captured by drones, aircraft or satellites). In geology and in mineral exploration specifically, orthophotos are commonly used to guide the logistic planning of field work. In this post I show that the U-Net architecture can be trained to automatically map waterbodies and detect areas where the…