Research Papers

Landcover classification of small-footprint, full-waveform lidar data

[+] Author Affiliations
Amy L. Neuenschwander, Lori A. Magruder, Marcus Tyler

University of Texas at Austin, Applied Research Laboratories, 10000 Burnet Road, Austin, Texas 78758

J. Appl. Remote Sens. 3(1), 033544 (August 26, 2009). doi:10.1117/1.3229944
History: Received January 7, 2009; Revised June 26, 2009; Accepted August 18, 2009; August 26, 2009; Online August 26, 2009
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Abstract

Full-waveform lidar data are emerging into the commercial sector and provide a unique ability to characterize the landscape. The returned laser waveforms indicate specific reflectors within the footprint (vertical structure), while the shape of the return convolves surface reflectance and physical topography. These data are especially effective in vegetative regions with respect to canopy structure characterization. The objective of this research is to evaluate the performance of waveform-derived parameters as input into a supervised classifier. Extracted waveform metrics include Gaussian amplitude, Gaussian standard deviation, canopy energy, ground energy, total waveform energy, ratio between canopy and ground energy, rise time to the first peak, fall time of the last peak, and height of median energy (HOME). The classifier utilizes a feature selection methodology which provides information on the value of waveform parameters for discriminating between class pairs. For this study area, energy ratio and Gaussian amplitude were selected most frequently, but rise time and fall time were also important for discriminating different tree types and densities. The lidar classification accuracy for this study area was 85.8% versus 71.2% for Quickbird imagery. Since the lidar-based input data are structural parameters derived from the waveforms, the classification is improved for classes that are spectrally similar but structurally different.

© 2009 Society of Photo-Optical Instrumentation Engineers

Topics

LIDAR

Citation

Amy L. Neuenschwander ; Lori A. Magruder and Marcus Tyler
"Landcover classification of small-footprint, full-waveform lidar data", J. Appl. Remote Sens. 3(1), 033544 (August 26, 2009). ; http://dx.doi.org/10.1117/1.3229944


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