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Proceedings Paper

A texture-based technique for DEM generation from LIDAR data
Author(s): Dimitrios Charalampidis; Keith Alphonso
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Paper Abstract

Obtaining high resolution Digital Elevation Models (DEMs) is a critical task for analysis and visualization in several remote sensing applications. LIDAR technology provides an effective way for obtaining high-resolution topographic information. This paper presents a texture-based novel automatic algorithm for DEM generation from LIDAR data. The proposed technique uses multifractal-based textural features for object identification, combined with a maximum slope filter. Although this work is concentrated on DEM generation, certain aspects of the algorithm make it suitable for classification of LIDAR data into other types of data. Some experimental results are presented to illustrate the effectiveness of the proposed algorithm.

Paper Details

Date Published: 14 May 2007
PDF: 10 pages
Proc. SPIE 6550, Laser Radar Technology and Applications XII, 65500O (14 May 2007); doi: 10.1117/12.719935
Show Author Affiliations
Dimitrios Charalampidis, Univ. of New Orleans (United States)
Keith Alphonso, Diamond Data Systems (United States)

Published in SPIE Proceedings Vol. 6550:
Laser Radar Technology and Applications XII
Monte D. Turner; Gary W. Kamerman, Editor(s)

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