Muhammad Usman

A Comparison of Machine Learning and Deep Learning Architectures with Explainable AI for Mapping Land Cover Using Sentinel-2 Satellite Data

Rapid and unplanned urbanization in South Asian cities such as Lahore, Pakistan has produced fragmented urban-agricultural landscapes in which spectral signatures of various land cover and land use (LCLU) classes overlap, degrading the performance of conventional pixel-based machine learning classifiers. This study pre...