Full text: Proceedings, XXth congress (Part 3)

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B3. Istanbul 2004 
  
  
signal ampliutde 
  
  
  
  
-10 -5 0 5 10 15 20 
time (ns) 
Figure 6. High-resolution sampled transmitter pulse of RIEGL 
LMS-Q560. Temporal resolution 50 ps, calculated from 
samples on 2000 consecutive transmitter pulses. 
Figure 7 shows an example of the echo signal obtained on a 
coniferous tree at a distance of about 260 m. Three separate 
targets can be identified which can be attributed to different 
twigs. 
  
140 
120 F 
100 F 
80 F 
60 F 
signal ampliutde 
40 - 
20 F 
  
  
  
0 ae. pling. r1 A n A A. 
1760 1765 1770 1775 1780 1785 1790 1795 1800 1805 
time (ns) 
  
Figure 7. Example of received echo signal of the RIEGL LMS- 
Q560 on a coniferous tree in about 260 m distance showing 
three distinct targets with distance differences of about 1.5 m. 
Digitisation and recording of part of or even the full return 
signal by commercial full-waveform airborne laser scanners 
like the one sketched above will provide additional information 
about the structure of the illuminated surface. This offers the 
option of classifying the acquired data based on the shape of the 
echo (e.g. separating narrow return echoes from horizontal 
terrain surfaces from wide echoes with more than one peak in 
wooded areas) Another important advantage is that the 
detection of the stop (trigger) pulses can be applied after data 
capturing, thus allowing to use different detection methods or 
even a combination of methods in order to extract the most 
interesting information for a specific application. An end user 
who wants to model the vegetation structure has different 
requirements on the detection method than a user who is 
interested in terrain modelling. 
Unfortunately, current systems do not provide any information 
about the echo detection method and offer no quality feedback, 
even though this information could be very useful for further 
modelling steps. In contrast, future systems with full-waveform 
206 
recording capability will allow to apply one of several pulse 
detection methods after data acquisition. By local analysis of 
the backscattered signal, it should also be possible to determine 
quality parameters for a given range measurement, which can 
be used as a direct input into further processing steps. 
It appears that full-wave systems will much enhance our 
capability to map natural and artificial objects, but this comes at 
a cost: Instead of having one or a few trigger pulses the whole 
discrete signal must be stored. Major research and development 
efforts will be needed in order to develop algorithms and 
software that can efficiently transform the recorded waveform 
clouds into geo-spatial data sets. 
ACKNOWLEDGEMENTS 
The contribution of Christian Briese was supported by the 
Austrian Science Foundation (FWF) under grant no. P-15789. 
REFERENCES 
Ackermann, F., 1999. Airborne laser scanning - present status 
and future expectations. ISPRS Journal of Photogrammetry & 
Remote Sensing, 54, pp. 64-67. 
Blair, J. B., D. L. Rabine, and M. A. Hofton, 1999. The Laser 
Vegetation Imaging Sensor: a medium-altitude, digitisation- 
only, airborne laser altimeter for mapping vegetation and 
topography. /SPRS Journal of Photogrammetry & Remote 
Sensing, 54, pp. 115-122. 
Flood, M., 2001. Laser altimetry: From science to commercial 
lidar mapping. Photogrammetric Engineering & Remote 
Sensing, 67(11), pp. 1209-1217. 
Hofton , M. A., and J. B. Blair, 2002. Laser altimeter return 
pulse correlation: a method for detecting surface topographic 
change, Journal of Geodynamics, 34, 477-489. 
Jelalian, A. V., 1992. Laser radar systems. Artech House, 
Boston and London, 292p. 
Rees, W. G., 2001. Physical principles of remote sensing. 
Cambridge University Press, Cambridge, 343p. 
Riegl Laser Measurement Systems, 2004. Website 
www.riegl.com. 
Sun, Q., and K. J. Ranson, 2000. Modeling lidar returns from 
forest canopies. IEEE Transactions on Geoscience and Remote 
Sensing, 38(6), pp. 2617-2626. 
Ulaby, F. T., R. K. Moore, A. K. Fung, 1981. Microwave 
remote sensing: Active nd passive. Volume I, Artech House, 
Noorwood, 456p. 
Wagner, W., A. Ullrich, and C. Briese, 2003. Der Laserstrahl 
und seine Interaktion mit der Erdoberfläche. Österreichische 
Zeitschrift für Vermessung & Geoinformation, V GI 4/2003, pp. 
223 - 233. 
  
  
  
  
  
    
  
  
  
  
  
  
   
  
   
   
  
   
  
  
   
   
   
  
  
  
  
   
  
  
   
    
   
   
  
  
   
   
   
  
   
   
  
  
    
   
  
  
    
   
    
  
   
  
  
   
   
  
  
   
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