Full text: XIXth congress (Part B3,2)

  
of feature data, 
is while adding 
rame image are 
s are not being 
their individual 
uired for multi- 
  
  
eher with aerial 
left image. This 
be generated on 
ctors. This will 
vpoint if desired 
  
  
Edward M. Mikhail 
  
5 CONCLUSIONS 
Significant progress has been made by an integrated multidisciplinary team of researchers on urban feature extraction, 
and construction and visualization of the resultant database. Fusion of multiple data sources based on rigorous sensor 
modeling has yielded a substantial reduction in effort and improvement of the results. Effort continues toward tighter 
integration of capabilities from photogrammetry, remote sensing, computer vision, and visualization research. 
6 ACKNOWLEDGEMENTS 
The research presented is sponsored by the U.S. Army Research Office under Grant No. DAAHO4-96-1-0444. The 
views expressed in this paper do not necessarily reflect the views of the U.S. Government or the U.S. Army Research 
Office. The author is indebted to all the MURI project principal researchers; from Purdue: J. Bethel, D. Landgrebe, L. 
Biehl; from USC: R. Nevatia, K. Price, A. Huertas; from BAE Systems: M. Vriesenga, J. Spann, K. Kaufman, L. 
Oddo. Heartfelt thanks are also due the large number of other researchers and graduate students whose work makes this 
project so successful. 
7 BIBLIOGRAPHY 
Bethel, J., Lee, C., Landgrebe, D., "Geometric Registration and Classification of Hyperspectral Airborne Pushbroom 
Data", Proceedings of ISPRS 19” Congress, Amsterdam, The Netherlands, July 2000. 
Madhok, V., Landgrebe, D., "Supplementing Hyperspectral Data with Digital Elevation", Proceedings of the 
International Geoscience and Remote Sensing Symposium, Hamburg, Germany, June 28 — July 2, 1999. 
Nevatia, R., Huertas, A., Kim, Z., "The MURI Project for Rapid Feature Extraction in Urban Areas", ISPRS: Automatic 
Extraction of GIS Objects from Digital Imagery, Munich, 1999, pp. 3-14, Invited paper. 
Price, K., "Road Grid Extraction and Verification", ISPRS: Automatic Extraction of GIS Objects from Digital Imagery, 
Munich, 1999, pp. 101-106. 
Spann, J., "Photogrammetry Using 3D Graphics and Projective Textures", Proceedings of ISPRS 19" Congress, 
Amsterdam, The Netherlands, July 2000. 
Theiss, H., Mikhail, E., Aly, I., Bethel, J., Lee, C., "Photogrammetric Invariance", Proceedings of ISPRS 19^ Congress, 
Amsterdam, The Netherlands, July 2000. 
  
International Archives of Photogrammetry and Remote Sensing. Vol. XXXIII, Part B3. Amsterdam 2000. 607 
 
	        
Waiting...

Note to user

Dear user,

In response to current developments in the web technology used by the Goobi viewer, the software no longer supports your browser.

Please use one of the following browsers to display this page correctly.

Thank you.