Estimation of Height of Building Using High Resolution Satellite Image

Nitin Gavankar, Ravindra Rathod, Vivek Waghmare

2024

Abstract

Buildings along with their properties such as, shape, rooftop reflectance, structure, etc. are one of the most commonly observed structures in urban areas. Two-dimensional (2D) building footprint along with building height information play an important role in the field of urban development, urban planning, population estimation, map making, disaster management, and various other socioeconomic applications. Shadow cast by buildings plays a vital role in estimation of height of building. In this study, sun-satellite geometry method using shadow cast by building has been used to estimate height of building. However, accurate shadow detection, extraction, and measuring width of the shadow zone are some of the important aspects in estimation of height of building. In order to detect and extract width of the shadow zone accurately, OBIA has been used. Further, accuracy in measuring width of the shadow zone has been improved by introducing a new algorithm and considering sun illumination direction and orientation of building. OBIA along with new algorithm to measure width of the shadow zone provides a sound methodology for estimation of height of all types and shape of buildings.

Paper Citation

in Harvard Style

Gavankar N., Rathod R. and Waghmare V. (2024). Estimation of Height of Building Using High Resolution Satellite Image. In Proceedings of the 10th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM; ISBN 978-989-758-694-1, SciTePress, pages 83-93. DOI: 10.5220/0012731600003696

in Bibtex Style

@conference{gistam24,
author={Nitin Gavankar and Ravindra Rathod and Vivek Waghmare},
title={Estimation of Height of Building Using High Resolution Satellite Image},
booktitle={Proceedings of the 10th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM},
year={2024},
pages={83-93},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012731600003696},
isbn={978-989-758-694-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM
TI - Estimation of Height of Building Using High Resolution Satellite Image
SN - 978-989-758-694-1
AU - Gavankar N.
AU - Rathod R.
AU - Waghmare V.
PY - 2024
SP - 83
EP - 93
DO - 10.5220/0012731600003696
PB - SciTePress