A texture-based technique for DEM generation from LIDAR data

Dimitrios Charalampidis; Keith Alphonso

doi:10.1117/12.719935

14 May 2007 A texture-based technique for DEM generation from LIDAR data

Dimitrios Charalampidis, Keith Alphonso

Proceedings Volume 6550, Laser Radar Technology and Applications XII; 65500O (2007) https://doi.org/10.1117/12.719935
Event: Defense and Security Symposium, 2007, Orlando, Florida, United States

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.

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Dimitrios Charalampidis and Keith Alphonso "A texture-based technique for DEM generation from LIDAR data", Proc. SPIE 6550, Laser Radar Technology and Applications XII, 65500O (14 May 2007); https://doi.org/10.1117/12.719935

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KEYWORDS

LIDAR

Buildings

Vegetation

Digital filtering

Data modeling

Data processing

Image segmentation

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