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

Reedhi Shukla; Sampath Kumar P; Satish Jayanthi; Kamini J

doi:10.30574/ijsra.2024.13.2.2142

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

Reedhi Shukla ^*, Sampath Kumar P, Satish Jayanthi and Kamini J

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
DOI url: https://doi.org/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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How to cite this article

Reedhi Shukla, Sampath Kumar P, Satish Jayanthi and Kamini J. Monitoring urban growth using deep learning-based model for building detection. International Journal of Science and Research Archive, 2024, 13(02), 1245–1250. https://doi.org/10.30574/ijsra.2024.13.2.2142

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