Full text: XIXth congress (Part B1)

  
moval by 
etric height 
lion phase 
> has been 
1er without 
EM. 
by bilinear 
ms and the 
s improved 
ence of 5m 
"he Wiener 
jum errors, 
ution of the 
nparing the 
erior to the 
higher than 
IM 2.4% of 
EM entered 
s important 
ality of the 
g from the 
restoration 
namely the 
e.g. due to 
d enhanced 
ons of the 
AR height 
asurements, 
  
Marc Honikel 
  
while restoring them in case of degradation. In order to avoid the introduction of corrupted measurements in the fusion 
process, an attribute has been derived, indicating the expected error of the measurement. 
This local approach leads to a global improvement of the resulting height measurements with respect to 
e Amount of valid measurements (reduction of measurement holes) 
o DEM error distribution 
- Reduction of mean and root mean square error 
- Extreme reduction of outliers. 
The achieved results are much superior compared to the initial results from the single sensor data sources and encourage 
the work on a complete numerical realization of the Wiener phase estimation in the spatial domain. 
  
Figure 10. Restored interferogram draped over the Wiener improved elevation model 
REFERENCES 
Andrews, H., Hunt, B., 1977. Digital Image Restoration, Prentice Hall Int., New Jersey, pp. 147-151. 
Goldstein R., Zebker H., Werner C., 1988. Satellite Radar Interferometry: Two dimensional phase unwrapping. Radio 
Sci., vol. 23, no.4, pp. 713-720. 
Honikel, M., 1998. Fusion of Optical and Radar Digital Elevation Models in the Spatial Frequency Domain, Proc. 2" 
Int. Workshop Retrieval of Bio- and Geophysical Parameters from SAR Data, ESTEC, Nordwijk, pp. 537-543. 
Honikel, M., 1999. Data Fusion Strategies for the Fusion of InSAR and Stereo-Optical DEMs, Int. Archives of 
Photogrammetry and Remote Sensing, Vol. 32, Part 7-4-3 W6, pp. 83-89. 
Leica Helava, 1997. SOCET SET, Windows NT/UNIX User Manual, Release 4.0, pp. F-1-4. 
Pratt, W. K., 1991. Digital Image Processing, 2" ed., John Wiley & Sons New York, pp.384-385. 
Patias, P. (ed.), 1998. ORFEAS, Optical Radar Sensor Fusion for Environmental Applications, Final EU Project Report, 
Contract no. ENV4-CT95-0150. 
Prati, C., Rocca, F., Monti-Guarnieri, A., Pasquali, P., 1994. ERS-1 Interferometric Techniques and Applications, 
ISPRS Proceedings of Primary Data Acquisition and Evaluation, 30(1), pp. 123-126. 
Small D., Werner, C., Niiesch, D., 1994. Geocoding and Validation of ERS-1 InSAR-Derived Digital Elevation Models, 
EARSel Advances in Remote Sensing, 4(2)-X, pp.26-41. 
Werner, C., 1992. Techniques and Applications of SAR Interferometry for ERS-1: Topographic Mapping, Change 
Detection and Slope Measurement. Proc. 1* ERS-1 Symposium, Space at the Service of our Environment, pp.205-210. 
Zebker, H., Werner, C., Rosen, P., 1994. Accuracy of Topographic Maps Derived from ERS-1 Interferometric Radar, 
IEEE Transactions on Geoscience and Remote Sensing, 32(4), pp. 823-836. 
  
International Archives of Photogrammetry and Remote Sensing. Vol. XXXIII, Part Bl. Amsterdam 2000. 155 
 
	        
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