Analysis of LIDAR and spectral imagery for scene classification in forested areas

Michael Helt; R. C. Olsen; Angela M. Puetz

doi:10.1117/12.668736

4 May 2006 Analysis of LIDAR and spectral imagery for scene classification in forested areas

Michael Helt, R. C. Olsen, Angela M. Puetz

Proceedings Volume 6233, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XII; 62331P (2006) https://doi.org/10.1117/12.668736
Event: Defense and Security Symposium, 2006, Orlando (Kissimmee), Florida, United States

Abstract

LIDAR data taken over the Elkhorn Slough in Central California were analyzed for terrain classification. The specific terrain element of interest is vegetation, and in particular, tree type. Data taken on April 12th, 2005, were taken over a 10 km × 20 km region which is mixed use agriculture and wetlands. Time return and intensity were obtained at ~2.5 m postings. Multi-spectral imagery from QuickBird was used from a 2002 imaging pass to guide analysis. Ground truth was combined with the orthorectified satellite imagery to determine regions of interest for areas with Eucalyptus, Scrub Oak, Live Oak, and Monterey Cyprus trees. LIDAR temporal returns could be used to distinguish regions with trees from cultivated and bare soil areas. Some tree types could be distinguished on the basis of the relationship between first/last extracted feature returns. The otherwise similar Eucalyptus and Monterey Cyprus could be distinguished by means of the intensity information from the imaging LIDAR. The combined intensity and temporal data allowed accurate distinction between the tree types, a task not otherwise practical with the satellite spectral imagery.

Citation Download Citation

Michael Helt, R. C. Olsen, and Angela M. Puetz "Analysis of LIDAR and spectral imagery for scene classification in forested areas", Proc. SPIE 6233, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XII, 62331P (4 May 2006); https://doi.org/10.1117/12.668736

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