In this thesis, spectral analysis techniques are generalized to process polarimetric multibaseline interferometric SAR data. These polarimetric array signal processing algorithms are described in a rigorous mathematical way and applied to urban areas. They permit the estimation of the reflector height, the scattering mechanism, and the polarimetric reflectivity. From single-baseline POL-InSAR observations, a digital elevation model of an urban scene is generated including the scattering types. Using polarimetric dual-baseline InSAR measurements, the building layover problem is resolved and three-dimensional SAR images are produced that reveal the reflection mechanisms. The performance of the algorithms is demonstrated by means of fully polarimetric dual-baseline interferometric SAR data at L-Band acquired by the E-SAR sensor of DLR.


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    Title :

    Interferometric SAR Remote Sensing of Urban Areas at L-Band Using Multibaseline and Polarimetric Spectral Analysis Techniques


    Contributors:

    Publication date :

    2008-12-01


    Type of media :

    Miscellaneous


    Type of material :

    Electronic Resource


    Language :

    English




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