Performance of Building Height Estimation Using High-Resolution PolInSAR Images

This paper investigates the use of polarimetry to improve the estimation of the height of buildings in high-resolution synthetic aperture radar (SAR) images. Polarimetric coherence optimization techniques solve the problem of layover effects in urban scenes by allowing a phase separation of the scat...

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Bibliographic Details
Published in:IEEE transactions on geoscience and remote sensing 2014-09, Vol.52 (9), p.5870-5879
Main Authors: Colin-Koeniguer, Elise, Trouve, Nicolas
Format: Article
Language:English
Subjects:
Buildings
Coherence
Coherence optimization
Construction
Estimation
interferometry
Phase separation
Polarimetry
Shape
Sociology
Synthetic aperture radar
synthetic aperture radar (SAR)
three-dimensional rendering
urban
Vectors
X-band
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Summary:This paper investigates the use of polarimetry to improve the estimation of the height of buildings in high-resolution synthetic aperture radar (SAR) images. Polarimetric coherence optimization techniques solve the problem of layover effects in urban scenes by allowing a phase separation of the scatterers sharing the same resolution cell. Bare soil elevation estimation is also improved by the polarimetric phase diversity. First, we present an analysis of the statistical modeling of the generalized coherence set. A building height estimation method is then derived from this analysis. Finally, the method is tested and quantitatively validated over an X-band polarimetric interferometric SAR (PolInSAR) airborne image acquired in a single-pass mode, containing a set of 140 different buildings with ground truth.
ISSN:0196-2892
1558-0644
DOI:10.1109/TGRS.2013.2293605