Rob Dekker
recommended to study the application of coherence imagery in a classification scheme, as a measure for the
changeability of a surface.
The DEM turned out to be not accurate enough compared to a photogrammetric DEM. Differences up to +80m
occurred. The major reasons for this are the large baseline of the data set, and the accuracy of the phase unwrapping
algorithm. Other and more suitable data sets, and another phase unwrapping algorithm are recommended. The
availability of other data sets must be studied. Other unwrap algorithms are available from literature.
The overall conclusion of this study is that ERS SAR imagery, in combination with change detection, segmentation,
and interferometry, has a large potential for urban monitoring in developing countries. Despite Henderson and Xia
(1997), ERS SAR imagery is suitable for change detection, land use classification, and population index estimation.
However, research considering data of other radar satellites as JERS, RADARSAT, and especially future polarimetric
satellites, is recommended.
ACKNOWLEDGEMENTS
Part of this work is carried out within the framework of the User Support Programme 1996-2005 (USP-2, project
3.1/AP-04) which is implemented under the responsibility of the Netherlands Remote Sensing Board (BCRS) and the
Space Research Organisation of the Netherlands (SRON). Other work carried out in this project is presented by Sliuzas
et al. (2000a), and Sliuzas and Brussel (2000b). The author would like to thank R. Sliuzas, M. Brussel and B. Gorte of
ITC, The Netherlands, and G. Mtalo and I. Mbonde of UCLAS, Tanzania, for the pleasant co-operation and support.
REFERENCES
Askne, J., and Hagberg, J.O., 1993. Potential of Interferometric SAR for Classification of Land Surfaces. In: Proc. of
the International Geoscience and Remote Sensing Symposium (IGARSS), 18-21 August 1993, Tokyo, Japan, pp. 985-
987.
Dekker, R.J., 1998. Speckle filtering in satellite SAR change detection imagery. Int. J. Remote Sensing, Vol. 19, No. 6,
pp. 1133-1146.
Dekker, R.J., 2000. Texture measures and segmentation of SAR images. Report: TNO Physics and Electronics
Laboratory, The Netherlands.
Dobson, M.C., Pierce, L., Kellndorfer, J., and Ulaby, F., 1997. Use of SAR Image Texture in Terrain Classification. In:
Proc. of the International Geoscience and Remote Sensing Symposium (IGARSS), 3-8 August 1997, Singapore, pp.
1180-1183.
Forster, B., Ticehurst, C., and Dong, Y., 1997. Analysis of Radar response from Urban Areas. In: Proc. of the
International Geoscience and Remote Sensing Symposium (IGARSS), 3-8 August 1997, Singapore, pp. 891-894.
Genderen, J.L. van, and Gens, R., 1996. SAR Interferometry: Principles and Research Trends. In: Proc. of the
Geoinformatics ’96 Symposium, 16-18 October 1996, Wuhan, China, pp. 99-106.
http://www. geo.tudelft.nl/~gens/publications/wuhan96.html (22 March 2000)
Henderson, F.M., 1995. An Analysis of Settlement Characterization in Central Europe Using SIR-B Radar Imagery.
Remote Sensing of Environment, Vol. 54, No. 6, pp. 61-70.
Henderson, F.M., and Xia, Z.G., 1997. SAR Applications in Human Settlement Detection, Population Estimation and
Urban Land Use Pattern Analysis: A Status Report. IEEE Trans. on Geoscience and Remote Sensing, Vol. 35, No. 1,
pp. 79-85.
Hussin, Y.A., 1995. Effect of polarization and incidence angle on radar return from urban features using L-band aircraft
radar data. In: Proc. of the International Geoscience and Remote Sensing Symposium (IGARSS), 10-14 July 1995,
Firenze, Italy, pp. 178-180.
Li, F.K., and Goldstein, R.M., 1990. Studies of Multibaseline Spaceborne Interferometric Synthetic Aperture Radars.
IEEE Trans. on Geoscience and Remote Sensing, Vol. 28, No. 1, pp. 88-97.
68 International Archives of Photogrammetry and Remote Sensing. Vol. XXXIII, Part B1. Amsterdam 2000.
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