Radiometric Calibration of the Finnish Geospatial Research Institute Hyperspectral LiDAR
Sähkötekniikan korkeakoulu | Master's thesis
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Space Science and Technology
NanoRad - Master’s Programme in Nano and Radio Sciences (TS2013)
AbstractThe algorithmic processing of multiwavelength sampled radiance data recorded by multispectral and hyperspectral LiDAR-instruments improves upon the accuracy of reflectance retrieval and target material characterization capabilities of the instrument. A simulation script was written to study different algorithmic waveform reconstruction procedures for intensity calibration of the Finnish Geodetic Research Institute hyperspectral LiDAR, considering environment of operation, processing speed, and digitization frequency. A Gaussian parametrization, a polynomial least squares, a cubic spline, and a Levenberg-Marquardt algorithm were analyzed in terms of acquiring waveform peak amplitude, spatio-temporal peak location, FWHM, and area parameters from the samples of an approximately 1 ns FWHM Gaussian pulse. The results show that the cubic spline algorithm is best suited for implementation with FGI-HSL, as it provides an error of $0.2575 \pm 0.191$\% in waveform peak amplitude retrieval at a sampling frequency of 4 GHz, and real-time processing capabilities at a pulse repetition frequency of 2 MHz. Based on the insight of this study, suggestions are given for algorithm choice depending on the spatio-temporal shape of the full-waveform and the required accuracy of waveform parameter retrieval as function of sampling frequency.
Thesis advisorKaasalainen, Sanna
hyperspectral, radiometric calibration, LiDAR, spectroscopy