Automated Ground Truth Annotation for Forest and Non-Forest Classification in Satellite Remote Sensing Images
Accurate ground truth annotation plays a vital role in training and evaluating deep learning models for forest and non-forest classification tasks. This paper introduces a robust algorithm designed to automate the annotation process, specifically targeting the identification of regions of interest;...