Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: 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.  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 beten the models and the waveforms, and a regularizing term which introduces physical knowledge on the reconstructed signal.  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.
['Clément Mallet', 'Florent Lafarge', 'Frédéric Bretar', 'Uwe Soergel', 'Christian Heipke']
I am writing a research paper on a idea Lidar waveform modeling using a marked point process
[{"from": "human", "value": "I am writing a research paper on a idea Lidar waveform modeling using a marked point process"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: 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.  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 beten the models and the waveforms, and a regularizing term which introduces physical knowledge on the reconstructed signal.  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."}]