DOI: 
10.22389/0016-7126-2018-937-7-57-64
1 Zhdanov A.Y.
2 Pankin A.V.
3 Rentel A.V.
Year: 
№: 
937
Pages: 
57-64

The Research Institute of Accuracy Devices

1, 
3, 

Research Center for Earth Operative Monitoring

2, 
Abstract:
Due to various factors, such as the interpolation step or automatic correlators specifics, global digital elevation models (DEM) often have an effect of understating the heights, which leads to inaccurate display of structural landforms e.g. ridges. The algorithm of adaptive correction of structural landforms elevation on DEM is proposed in this article. The algorithm consists of two stages. In the first stage, an automatic classification of structural forms is performed based on height difference between neighboring DEM elements. In the second stage, the DEM elements are corrected based on the assigned classes. Adaptivity of the algorithm allows to use it for any kind of terrain and elevation ranges. The algorithm was tested on the global DEM ALOS World 3D (ALOS W3D30); the accuracy was assessed by geodetic reference network and ICESat mission data. The developed algorithm shows an improvement of DEM accuracy, especially in high-altitude areas, and it also helps to reveal areas requiring additional verification.
References: 
1.   Data Sets. Standard GLAS Data Products (HDF5). URL: https://nsidc.org/data/icesat/data.html (accessed: 13.04.2018).
2.   Koka S., Anada K., Nakayama Y., Sugita K., Yaku T., Yokoyama R. (2012) A comparison of ridge detection methods for DEM data. Software Engineering, Artificial Intelligence, Networking and Parallel & Distributed Computing (SNPD). 13th ACIS International Conference on. pp. 513–517.
3.   Koka S., Anada K., Nomaki K., Sugita K., Tsuchida K., Yaku T. (2011) Ridge detection with the steepest ascent method. Procedia Computer Science, no. 4, pp. 216–221.
4.   Lopez A., Lumbreras F., Serrat J., Villanueva J. J. (1999) Evaluation of methods for ridge and valley detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume 21, no. 4, pp. 327–335.
5.   Precise Global Digital 3D Map “ALOS World 3D” Homepage. URL: http://www.eorc.jaxa.jp/ALOS/en/aw3d/index_e.htm (accessed: 13.04.2018).
Citation:
Zhdanov A.Y., 
Pankin A.V., 
Rentel A.V., 
(2018) Algorithm of adaptive correction of structural landforms on global digital elevation models. Geodesy and cartography = Geodezia i Kartografia, 79(7), pp. 57-64. (In Russian). DOI: 10.22389/0016-7126-2018-937-7-57-64
Publication History
Received: 23.04.2018
Accepted: 05.06.2018
Published: 20.08.2018

Content

2018 July DOI:
10.22389/0016-7126-2018-937-7