The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part BI. Beijing 2008
and to understand how the pulse interacts with the surface, a
theoretical knowledge of the influence of the geometric and
radiometric properties of the illuminated surface (i.e., the
differential laser cross-section) on the shape of the waveforms is
required. Quantifying specifically both geometric and
radiometric influence of a object on the received waveform is
undoubtedly the most promising line of research for that purpose.
5. FUTURE RESEARCH DIRECTIONS
Researches on full waveform data are still at their beginnings,
but seem very promising in terms of automatic data extraction.
However, if the technology seems well managed by
manufacturers, many questions will arise for future work.
Whatever the scenario type will be, if it is clear that full
waveform LiDAR data provide range information, it is still
expected to be fully proved that they contain physical
assessments of the backscattering properties of the illuminated
surface. Among other interesting points, two of them seem
essential and have to be investigated in priority:
• The influence of the surface geometry and radiometry
onto the shape of the waveform.
• The influence of the lasers wavelength onto the
measurement itself.
Answering these points needs a modelling step that could be
based on a ray-tracing model or even more complex, a
electromagnetic model, which bases on the wave characteristic
of the light, e.g. to investigate speckle effects. Such approaches
will consider the LiDAR footprint size, the beam divergence, the
sensor FOV, the wavelength, the direction of the laser beam
propagation etc., but also the characteristics of the scenario (tree
species, building geometry...). It also necessitates an
experimental step to build a data base of optical responses in
various optical wavelength over various features.
Furthermore, most of topographic LiDAR systems work with
a single wavelength. The recording of several waveforms, each
of them emitted at a different wavelength could enhance the
object description. These so called hyperspectral laser systems
could deliver for instance multiple intensity information of
surfaces instead of only monochromatic information. Finally,
scientists of the ISPRS community would take high benefit of
having a better knowledge of commercial LiDAR systems,
particularly of its system specifications, which is usually
different for each sensor and most of the relevant information is
kept secret by the manufacturers.
The extensive use of full waveform LiDAR data leads to think
of a new data format and data management system as LAS
format and TerraScan© for point clouds. The format could be
based on a multiple layer structure in the sensor geometry, each
of them linked to the others by pointer arrays (Figure 3). Among
important layers, there are a raw data layer containing all
waveforms, a georeferencing layer containing the trajectory
and sensor information interpolated at each measurement and a
modelling layer containing the parameters of the analytic
description of the waveform. A XML meta file could describe
each layer. An orthorectified geometry should be generated in
terms of GUI and linked to the sensor geometry.
6. CONCLUSION
We have presented in this article the main lines of researches on
full waveform LiDAR data performed, especially in the ISPRS
community. Even if these data have been used for only a short
time now, it seems that fruitful and promising results have come
out in the recent years. Many problems have to be sorted out
before using these data as multi-echo LiDAR data are.
Nevertheless, the tasks are extremely challenging since it is a
new and wide research area, which begin to deals with physical
remote sensing.
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