Monitoring urban growth using deep learning-based model for building detection

Urban growth is an important criterion for understanding the city's development. Buildings are essential to understand the need for new development and growth that happened in recent years. Automatic extraction of building footprints, especially in Indian cities scenario, is of great importance, as it helps in understating the pattern of urban growth, monitoring any illegal construction and change analysis for different time periods. This research will focus on how deep-learning based methodology will help in the automatic extraction of building footprints for multiple Indian cities.