Human settlement maps play a vital role in analysing growth patterns, population distribution, resource management, change detection, and various other applications that rely on surface-level geographic information. Classifying human settlements is a complex task that is often difficult to achieve accurately using traditional methods. However, deep learning models excel at understanding intricate spatial patterns and can deliver highly accurate and reliable classification results.