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

Author:

Bopche LiteshORCID,Rege Priti P.ORCID

Publisher

Springer Science and Business Media LLC

Subject

Earth and Planetary Sciences (miscellaneous),Engineering (miscellaneous),Environmental Science (miscellaneous),Geography, Planning and Development

Reference28 articles.

1. Ahmed N, Mahtab A, Agrawal R, Jayaprasad P, Pathan SK, Singh DK, Singh AK (2007) Extraction and validation of Cartosat-1 DEM. J Indian Soc Remote Sens 35:121–127

2. Amato R, Dardanelli G, Emmolo D, Franco V, Brutto ML, Midulla P, Orlando P, Villa B (2004) Digital orthophotos at a scale of 1: 5000 from high resolution satellite images. ISPRS J Photogramm Remote Sens 35:593–598

3. Baltsavias E, Kocaman S, Akca D, Wolff K (2007) Geometric and radiometric investigations of Cartosat-1 data, in: ISPRS Workshop “High resolution earth imaging for geospatial information”.

4. Bopche L, Rege PP (2021a) Feature-based model for landslide prediction using remote sensing and digital elevation data, Advances in Signal and Data Processing. Springer Singapore, Singapore. 299–312

5. Bopche L, Rege PP (2021b) Use of noise reduction filters on stereo images for improving the accuracy and quality of the digital elevation model. J Appl Remote Sens 15:1–17. https://doi.org/10.1117/1.JRS.15.014508

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