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Monitoring urban growth using deep learning-based model for building detection
National Remote Sensing Centre, ISRO, Hyderabad, India.
Research Article
International Journal of Science and Research Archive, 2024, 13(02), 1245–1250.
Article DOI: 10.30574/ijsra.2024.13.2.2142
Publication history:
Received on 24 November 2024; revised on 17 November 2024; accepted on 19 November 2024
Abstract:
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.
Keywords:
Deep-learning; building footprints; python; Keras; Tensor flow; U-Net; Satellite; Urban
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Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0
