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An approach to extracting digital elevation model for undulating and hilly terrain using de-noised stereo images of Cartosat-1 sensor

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Abstract

A digital elevation model (DEM) is established as an essential geospatial dataset requisite for many topographical and environmental applications. The freely available DEMs have low spatial resolution (SR ≥ 30 m) and comprise considerable vertical errors. The vertical errors are worsened in the undulating and hilly or rugged terrain regions. In this research, we introduced a study to investigate the effect of the noise reduction filters on the accuracy and quality of the DEMs for undulating and hilly terrain regions. The main objectives are to extract a high-quality DEM without collecting physical data like ground control points. DEM generation using de-noised stereo images is carried out using Rational Polynomial Coefficients of Cartosat-1 sensor and Automated Tie Point (ATP) selection. The ATP selection and distribution on the stereo images play a significant role in the DEM accuracy. The present paper also provides information about the optimum number of ATPs used for different topographic conditions. The altitude value of extracted DEM through de-noised stereo images and freely accessible DEMs is compared with reference to the ground truth value of the study region. The 3-D surface profile map of the DEM is used for visual interpretation.

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Acknowledgements

The authors are grateful to the NRSC, Hyderabad, India, for providing the stereo orthokit products of Cartosat-1. The authors are thankful to the Editor in Chief and the reviewers for their thorough review, valuable comments, and constructive suggestions. This work did not receive grants from funding agencies in the commercial, public, or non-profit sectors.

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  1. Electronics and Telecommunication Engineering, College of Engineering, Pune, India

    Litesh Bopche & Priti P. Rege

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  1. Litesh Bopche
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  2. Priti P. Rege
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Correspondence to Litesh Bopche.

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Bopche, L., Rege, P. An approach to extracting digital elevation model for undulating and hilly terrain using de-noised stereo images of Cartosat-1 sensor. Appl Geomat 14, 39–55 (2022). https://doi.org/10.1007/s12518-021-00412-0

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  • DOI: https://doi.org/10.1007/s12518-021-00412-0

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