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Proceedings Paper

Classification of terrain using multi-resolution satellite/aerial imagery and lidar data
Author(s): Brian R. Kocher; Alan M. Thomas
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Paper Abstract

High resolution LiDAR data is used to augment spectral data to improve resolution/accuracy. Digital elevation information, texture information, and spectral data are all combined into a single dataset and different clustering algorithms are used on the raster information and compared with clusters of spectral data alone. Long term goals of the work are to find efficient and effective methods of combining different data sets of varying resolution from different sources into a single dataset for analysis to improve data and classification resolution and accuracy.

Paper Details

Date Published: 28 April 2010
PDF: 8 pages
Proc. SPIE 7710, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2010, 771004 (28 April 2010); doi: 10.1117/12.850575
Show Author Affiliations
Brian R. Kocher, Georgia Institute of Technology (United States)
Alan M. Thomas, Georgia Institute of Technology (United States)


Published in SPIE Proceedings Vol. 7710:
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2010
Jerome J. Braun, Editor(s)

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