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High-Resolution InSAR Building Layovers Detection and Exploitation

Rossi, Cristian and Eineder, Michael (2015) High-Resolution InSAR Building Layovers Detection and Exploitation. IEEE Transactions on Geoscience and Remote Sensing, 53 (12), pp. 6457-6468. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/TGRS.2015.2440913. ISSN 0196-2892.

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Official URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7128381


Layover affects the quality of urban interferometric synthetic aperture radar (InSAR) digital elevation models. Moreover, it is generally difficult to interpret because of the superposition of several contributions in a single SAR pixel. In this paper, a novel technique for the extraction of building layovers is first presented. It makes use of the geocoding stage embedded in the InSAR processor. It is shown that building layovers create a regular pattern in the mapping counter, a map describing the number of occurrences of a SAR pixel in the elevation model. Its exploitation yields a generation of a layover map without the use of external supports. The integration in the processor with a limited additional computational load and the capability to isolate layover signatures are additional benefits. Layover patches are then individually analyzed toward a better understanding of the complex urban signal return. A spectral estimation framework is employed to assess the slopes superimposed in the patches. Fringe-frequency estimation is involved. A set of simulations made for a nonparametric (fast Fourier transform) and a parametric (multiple signal classification) technique is performed prior to testing on real data. It is demonstrated that in X-band, for a single interferogram, just one layover contributor, when it dominates over the others, can be extracted with a sufficient accuracy. The algorithms are tested on a TanDEM-X spotlight acquisition over Berlin (Germany).

Item URL in elib:https://elib.dlr.de/97814/
Document Type:Article
Title:High-Resolution InSAR Building Layovers Detection and Exploitation
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Rossi, Cristiancristian.rossi (at) dlr.deUNSPECIFIED
Eineder, Michaelmichael.eineder (at) dlr.deUNSPECIFIED
Journal or Publication Title:IEEE Transactions on Geoscience and Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:Yes
DOI :10.1109/TGRS.2015.2440913
Page Range:pp. 6457-6468
Publisher:IEEE - Institute of Electrical and Electronics Engineers
Keywords:Fringe-frequency estimation, geocoding, interferometric SAR (InSAR), layover detection, layover scattering decomposition, super-resolution, urban mapping
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Projekt TanDEM-X (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > SAR Signal Processing
Deposited By: Rossi, Cristian
Deposited On:13 Aug 2015 18:05
Last Modified:31 Jul 2019 19:54

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