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10 October 2008 Identification of built-up areas using SAR data: a comparison of TerraSAR-X and ALOS-PALSAR imagery
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Abstract
Urban areas represent one of the most dynamic regions on earth. To solve the problems which are associated with the rapid changes in those regions urban and spatial planning relies on up-to-date information about the urban sprawl. Remote sensing data and in particular Synthetic Aperture Radar (SAR) images can provide valuable information about the characteristics of urban sprawl with a short repetition rate. In previous studies we could demonstrate the ability to classify built-up areas with a high accuracy using TerraSAR-X images. This paper focuses on the transfer of this method to ALOS/PALSAR images. First results of our study show that the method developed for X-band imagery can be transferred to L-band SAR images. However, the analysis of L-band data still requires some modifications of the proposed procedure in order to increase the accuracy.
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Michael Thiel, Thomas Esch, Michael Wurm, Hannes Taubenböck, and Stefan Dech "Identification of built-up areas using SAR data: a comparison of TerraSAR-X and ALOS-PALSAR imagery", Proc. SPIE 7109, Image and Signal Processing for Remote Sensing XIV, 71091B (10 October 2008); https://doi.org/10.1117/12.800233
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