This paper addresses the issues associated with the use of full waveform lidar. At the top of the list is the need to compress the data given the quantity of information that is being returned and collected.
This work introduces a waveform cube model to compress waveforms in selected subsets of the cube, aimed at achieving decreased storage while maintaining the maximum pulse rate of FWD systems. In our experiments, the waveform cube is compressed using classical methods for 2D imagery, such as JPEG-1 that are further tested to assess the feasibility of the proposed solution.
The spatial distribution of airborne waveform data is irregular; however, the manner of the FWD acquisition allows the organization of the waveforms in a regular 3D structure similar to familiar multi-component imagery, as those of hyper-spectral cubes or 3D volumetric tomography scans.
The results were promising.