Gaussian decomposition and calibration of a novel small-footprint full-waveform digitising airborne laser scanner

By Wolfgang Wagner, A. Ullrich, V. Ducic, T. Melzer, N. Studnicka. 2006

816 citations recorded by the source corpus.

Subfields: Environmental Engineering, Geology, Instrumentation

View Paper: https://www.semanticscholar.org/paper/5b514f2fbb9c02b9846eff1ad9f5118c85aa7fb2

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In Environmental Engineering

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Citations in the corpus

The Airborne Snow Observatory: Fusion of scanning lidar, imaging spectrometer, and physically-based modeling for mapping snow water equivalent and snow albedo (2016, methodology): “The return energy waveforms recorded by the sensor are converted to discrete returns via a Gaussian deconvolution algorithm (Riegl RiANALYZE; Wagner et al., 2006).”
Landcover classification of small-footprint, full-waveform lidar data (2009, background): “Peak amplitude is an indicator of surface reflectance at 1064 nm [14, 15, 18].”
Analysis of full-waveform LiDAR data for forestry applications: a review of investigations and methods (2011, methodology): “A common method for peak detection is Gaussian decomposition (Jutzi & Stilla 2006), which is used to fit a generalized Gaussian function according to the Leven berg-Marquardt algorithm (Wagner et al. 2006).”
The role of LiDAR in sustainable forest management (2008, background): “While beyond the scope of this paper, small-footprint, full waveform systems have also been developed in the past 2 years, offering even finer-scale vertical discrimination (Wagner et al. 2006).”
Relevance of airborne lidar and multispectral image data for urban scene classification using Random Forests (2011, background): “Generally, the received signal is decomposed by fitting Gaussians to the waveform (Wagner et al., 2006; Reitberger et al., 2009).”
Segmentation of tree regions using data of a full-waveform laser (2007, methodology): “Furthermore these features can be used for segmentation and classification beside the geometric information (Wagner et al., 2006).”
Airborne LiDAR for DEM generation: some critical issues (2008, background): “…for one or multiple (up to six) returns to be recorded for each laser pulse (Lim et al., 2003), full-waveform systems digitize and record the entire backscattered signal of each mitted pulse (typically with an interval of 1 ns) (Wagner et al., 2006; Chauve t al., 2007; Mandlburger et al., 2007).”