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Lidar waveform modeling using a marked point process

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5 Author(s)
Clément Mallet ; Laboratoire MATIS, Institut Géographique National - Saint-Mandé, FRANCE ; Florent Lafarge ; Frédéric Bretar ; Uwe Soergel
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Lidar waveforms are 1D signal consisting of a train of echoes where each of them correspond to a scattering target of the Earth surface. Modeling these echoes with the appropriate parametric function is necessary to retrieve physical information about these objects and characterize their properties. This paper presents a marked point process based model to reconstruct a lidar signal in terms of a set of parametric functions. The model takes into account both a data term which measures the coherence between the models and the waveforms, and a regularizing term which introduces physical knowledge on the reconstructed signal. We search for the best configuration of functions by performing a Reversible Jump Markov Chain Monte Carlo sampler coupled with a simulated annealing. Results are finally presented on different kinds of signals in urban areas.

Published in:

2009 16th IEEE International Conference on Image Processing (ICIP)

Date of Conference:

7-10 Nov. 2009