A WAVELET-BASED METHOD FOR DELINEATING MATERIAL PROPERTY BOUNDARIES FROM A TERRESTRIAL LIDAR IMAGE

MOREIRA, Alan B., Department of Civil, Environmental, and Engineering, University of Colorado, 1111 Engineering Dr, ECOT 441, UCB 428, Boulder, CO 80309, NEUPAUER, Roseanna M., Civil, Environmental, and Architectural Engineering, University of Colorado, 1111 Engineering Dr, ECOT 441, UCB 428, Boulder, CO 80309, FRECHETTE, Jedediah D., Earth and Planetary Sciences, University of New Mexico, Albuquerque, NM 87131, WAWRZYNIEC, Timothy F., Department of Natural and Environmental Sciences, Western State Colorado University, 31C Hurst Hall, Gunnison, CO 81231 and WEISSMANN, Gary S., Earth and Planetary Sciences, University of New Mexico, MSC03-2040, 1 University of New Mexico, Albuquerque, NM 87131-0001, neupauer@colorado.edu

Wavelet analysis is a processing technique that can be used to characterize variations within an image. We developed an automated, wavelet-based method to delineate boundaries in an image. Using terrestrial lidar reflectivity data of a rock face, we illustrate the method for delineating material property boundaries in a rock face. We perform two-dimensional continuous wavelet analysis to obtain wavelet coefficients at each pixel in the image. Within a zone that contains a single material type, the wavelet coefficients are relatively uniform; while between zones, the wavelet coefficients change abruptly. We delineate the boundaries between zones as the locations where the spatial rate of change of the wavelet coefficients attains its local maxima. We investigate the range of wavelet scale parameters that lead to optimal boundary delineation. The boundaries delineated through this wavelet-based method correlate well with the observable sediment structure.

Session No. 71

T125. Terrestrial Laser Scanning: Applications in Geology and Geomorphology

Sunday, 31 October 2010: 1:30 PM-5:30 PM

Room 303 (Colorado Convention Center)

Geological Society of America Abstracts with Programs. Vol. 42, No. 5, p.177

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