Spectral LiDAR analysis for terrain classification

Charles A. McIver; Jeremy P. Metcalf; Richard C. Olsen

doi:10.1117/12.2276658

5 May 2017 Spectral LiDAR analysis for terrain classification

Charles A. McIver, Jeremy P. Metcalf, Richard C. Olsen

Proceedings Volume 10191, Laser Radar Technology and Applications XXII; 101910J (2017) https://doi.org/10.1117/12.2276658
Event: SPIE Defense + Security, 2017, Anaheim, CA, United States

Abstract

Data from the Optech Titan airborne laser scanner were collected over Monterey, CA, in three wavelengths (532 nm, 1064 nm, and 1550 nm), in May 2016, by the National Center for Airborne LiDAR Mapping (NCALM). Analysis techniques have been developed using spectral technology largely derived from the analysis of spectral imagery. Data are analyzed as individual points, vs techniques that emphasize spatial binning. The primary tool which allows for this exploitation is the N-Dimensional Visualizer contained in the ENVI software package. The results allow for significant improvement in classification accuracy compared to results obtained from techniques derived from standard LiDAR analysis tools

Citation Download Citation

Charles A. McIver, Jeremy P. Metcalf, and Richard C. Olsen "Spectral LiDAR analysis for terrain classification", Proc. SPIE 10191, Laser Radar Technology and Applications XXII, 101910J (5 May 2017); https://doi.org/10.1117/12.2276658

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