Title :
A novel application of Kalman Filter: 3D Reconstruction of urban areas from InSAR data
Author :
Ambrosino, Roberto ; Baselice, Fabio ; Ferraioli, Giampaolo ; Schirinzi, Gilda
Author_Institution :
Dipt. di Ing., Univ. degli Studi di Napoli “Parthenope”, Naples, Italy
fDate :
March 30 2015-April 1 2015
Abstract :
The three dimensional (3D) reconstruction of urban areas using Interferometric Synthetic Aperture Radar (InSAR) systems can be particularly difficult to be carried out due to presence of high interferometric phase jumps. These discontinuities, generated from the presence of man-made structures, make the unwrapping problem, needed for the 3D reconstruction non trivial. In this paper we propose an approach for phase unwrapping, and consequently for 3D reconstruction, that exploits multiple acquired interferograms and combines them using the Extended Kalman Filter (EKF). Differently form other EKF based approach phase unwrapping algorithms, the proposed technique is able to take into account and correctly solving height discontinuities, making the algorithm particularly suitable for 3D reconstruction in urban areas. The methodology has been tested on real high resolution datasets, showing interesting results.
Keywords :
Kalman filters; geophysical image processing; image reconstruction; nonlinear filters; radar imaging; radar interferometry; remote sensing by radar; synthetic aperture radar; 3D urban area reconstruction; EKF; InSAR; extended Kalman filter; height discontinuities detection; interferometric synthetic aperture radar; man-made structures; phase unwrapping problem; Image reconstruction; Interferometry; Kalman filters; Maximum likelihood estimation; Synthetic aperture radar; Three-dimensional displays; Urban areas;
Conference_Titel :
Urban Remote Sensing Event (JURSE), 2015 Joint
Conference_Location :
Lausanne
DOI :
10.1109/JURSE.2015.7120468