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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
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Data", Proceedings of ISPRS 19” Congress, Amsterdam, The Netherlands, July 2000.
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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,
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Theiss, H., Mikhail, E., Aly, I., Bethel, J., Lee, C., "Photogrammetric Invariance", Proceedings of ISPRS 19^ Congress,
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