Machine Learning and Deep Learning Approaches in Thermal Remote Sensing: A Systematic Review (2018–2026)
This systematic review, conducted in accordance with the PRISMA 2020 guidelines, maps the applications of machine learning (ML) and deep learning (DL) within thermal remote sensing (RS) from January 2018 to March 2026. Despite significant growth in this field driven by high-resolution satellite missions and open-source...