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2 May 2009Lidar full-waveform data analysis for detection of faint returns through obscurants
Innovative algorithm development for full-waveform lidar data processing extends this remote sensing
technology's capabilities to even more complicated acquisition scenarios then previously determined, namely
success of surveys over obscured areas. Waveform decomposition and the extraction of waveform metrics
provide a straightforward approach to identifying vertical structure within each laser measurement. However,
there are some limitations in this approach as faint returns within the waveform go undetected in the
processing chain. These faint returns are the result of reduced energy levels due to obscurant scattering,
attenuation and absorption. Lidar surveys over non-homogeneous wooded regions indicate that there are
meaningful ground returns within dense tree coverage if extracted correctly from the data. One difficulty
associated with detecting weaker returns is the presence of a hardware induced ring by the Avalanche Photo
Diode (APD) detector in the returned waveform. By using a waveform stacking technique with adjacent
waveforms in near geospatial proximity to the original, these faint returns can be augmented and detected
during data processing without the inclusion of the false ring. In comparison to the traditional approach, the
waveform stacking technique provides a 9% increase in faint signal extraction for the particular dataset.
These faint signals are low level last returns that correspond to perceived ground reflections under canopy
cover. The enhanced capability in the presence of foliage provides a decrease in operational effort associated
with data density, dwell or targeting techniques and survey expense.
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Lori A. Magruder, Amy L. Neuenschwander, "Lidar full-waveform data analysis for detection of faint returns through obscurants," Proc. SPIE 7323, Laser Radar Technology and Applications XIV, 73230L (2 May 2009); https://doi.org/10.1117/12.818595