Summary
The special nature of synthetic aperture radar (SAR) images as opposed to optical images requires highly specialized processing. This paper is devoted to the task of 3D surface reconstruction from multiple radar images. We discuss SAR-specific modifications of well known algorithms (stereo, shape-from-shading), as well as new algorithms incorporating knowledge about the SAR image formation process. Finally, we present a new method to integrate information from several sensors, modalities, or algorithms and discuss its potential pplications in SAR data processing.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
R. Bolter, M. Gelautz, and F. Leberl, “Simulation based SAR-stereo analysis in layover areas”, in Proceedings of the International Geoscience and Remote Sensing Symposium, IGARSS’98, (Seattle, WA), 6-10 July 1998, vol. I, pp. 345–347, 1998.
C. Connors, “Determining heights and slopes of fault scarps and other surfaces on venus using Magellan stereo radar”, Journal of Geophysical Research, vol. 100, no. E7, pp. 14361–14381, July 1995.
Belur V. Dasarathy, Decision Fusion. IEEE Computer Society Press, 1994.
R. Frankot, S. Hensley, and S. Shafer, “Noise resistant estimation techniques for SAR image registration and stereo matching”, in Proceedings of the International Geoscience and Remote Sensing Symposium, IGARSS’94, (Pasadena, CA), 8-12 August 1994, vol. II, pp. 1151–1153, 1994.
M. Gelautz, H. Frick, J. Raggam, J. Burgstaller, and F. Leberl, “SAR image simulation and analysis of alpine terrain”, ISPRS Journal of Photogrammetry and Remote Sensing, vol. 53, pp. 17–38, 1998.
S. Hensley and S. Shafer, “Automatic DEM generation using Magellan stereo data”, in Proceedings of the International Geoscience and Remote Sensing Symposium, IGARSS’94, (Pasadena, CA), 8-12 August 1994, vol. 1ll, pp. 1470–1472, 1994.
G.J. Klir and T.A. Folger, Fuzzy Sets, Uncertainty, and Information, Prentice Hall, 1988.
F. Leberl, Radargrammetric Image Processing. Norwood, MA:Artech House, 1990.
A. Pinz, “Active fusion - a new concept for control in computer vision”, in Proceedings GDR-PRC ISIS, CNRS, Paris, pp. 120–131, 1996.
A. Pinz, M. Prantl, H. Ganster, and H. Kopp-Borotschnig, “Active fusion - a new method applied to remote sensing image interpretation”, Pattern Recognition Letters, vol. 17, pp. 1349–1359, November 1996.
S. Scherer, W. Andexer, and A. Pinz, “Robust adaptive window matching by homogeneity constraint and integration of descriptions”, in Proceedings of ICPR, vol. I, pp. 777–779, 1998.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1999 Springer-Verlag Berlin · Heidelberg
About this paper
Cite this paper
Bolter, R., Pinz, A. (1999). 3D Exploitation of SAR Images. In: Kanellopoulos, I., Wilkinson, G.G., Moons, T. (eds) Machine Vision and Advanced Image Processing in Remote Sensing. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-60105-7_14
Download citation
DOI: https://doi.org/10.1007/978-3-642-60105-7_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-64260-9
Online ISBN: 978-3-642-60105-7
eBook Packages: Springer Book Archive