Improving the accuracy of Digital Elevation Model by using Kalman filter and Rauch-Tung-Striebel smoother
PDF (Tiếng Việt) | Download: 45

Working Languages

How to Cite

Duong, T. T., Dao, V. K., Truong, M. H., & Nguyen, D. M. (2017). Improving the accuracy of Digital Elevation Model by using Kalman filter and Rauch-Tung-Striebel smoother. Journal of Geodesy and Cartography, (31), 29–34. https://doi.org/10.54491/jgac.2017.31.208

Abstract

Digital Elevation Model (DEM) is necessary for many applications such as earth science, natural resources and environment. Generally, there are two methods to build DEM including conventional land surveying and remote sensing technique. The fact indicates that the conventional land surveying method produce more accurate DEM (2cm-1m) but it is high cost and time consuming. Conversely, the remote sensing method, particularly, using satellite images can produce DEM with low cost but low accuracy (5-30m). This article propose a method to improve the efficiency of producing DEM by integration of DEM generated by remote sensing technology and DEM generated by land surveying via Kalman filter and Rauch-Tung-Striebel smoother.
https://doi.org/10.54491/jgac.2017.31.208
PDF (Tiếng Việt) | Download: 45

Downloads

Download data is not yet available.