Paper
27 August 2001 Segmentation of interferometric SAR data in urban areas
Author Affiliations +
Abstract
The improved quality of InSAR data suggests to utilize such data for analysis of urban areas. But, the phase information from which the height data is calculated, is often severely disturbed, depending on the signal to noise ratio. As a consequence, irregular height jumps occur even inside flat objects. In this paper we refer to investigations to stabilize and improve the InSAR height data. After preprocessing, a segmentation is carried out in the intensity and the height data. Inside the extracted segments the height data is smoothed, using the related intensity or coherence values as weights. For every segment the weighted average height is calculated. Preliminary hypotheses for buildings are identified a by significant height over surrounding ground. In a post-processing step, the intermediate results are analyzed and corrected due to a possible over- and under-segmentation. Adjacent objects with similar heights are merged and objects including shadow areas are split. The shadow areas are detected by structural image analysis in a production net environment exploiting collateral information, like sensor position and depression angle. The derived 3D information may be used for visualization or map update tasks. A test site including the airport of Frankfurt (Main) was chosen. For the visualization purpose, a 3D view of the smoothed height data is shown. The results are compared to a map and differences are depicted and discussed.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Uwe Soergel, Karsten Schulz, and Ulrich Thoennessen "Segmentation of interferometric SAR data in urban areas", Proc. SPIE 4382, Algorithms for Synthetic Aperture Radar Imagery VIII, (27 August 2001); https://doi.org/10.1117/12.438198
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Cited by 3 scholarly publications.
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KEYWORDS
Buildings

Image segmentation

Interferometric synthetic aperture radar

Signal to noise ratio

Sensors

Antennas

Synthetic aperture radar

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