Title :
Multifrequency InSAR height reconstruction through maximum likelihood estimation of local planes parameters
Author :
Pascazio, Vito ; Schirinzi, Gilda
Author_Institution :
Inst. di Teoria e Tecnica delle Onde Elettromagnetiche, Univ. di Napoli Parthenope, Italy
fDate :
12/1/2002 12:00:00 AM
Abstract :
A technique that is able to reconstruct highly sloped and discontinuous terrain height profiles, starting from multifrequency wrapped phase acquired by interferometric synthetic aperture radar (SAR) systems, is presented. We propose an innovative unwrapping method, based on a maximum likelihood estimation technique, which uses multifrequency independent phase data, obtained by filtering the interferometric SAR raw data pair through nonoverlapping band-pass filters, and approximating the unknown surface by means of local planes. Since the method does not exploit the phase gradient, it assures the uniqueness of the solution, even in the case of highly sloped or piecewise continuous elevation patterns with strong discontinuities.
Keywords :
band-pass filters; filtering theory; image reconstruction; maximum likelihood estimation; radar imaging; radiowave interferometry; spectral analysis; synthetic aperture radar; 2D spectral partition; MLE; SAR signals; discontinuous terrain height profiles; interferometric SAR raw data filtering; interferometric synthetic aperture radar; local planes parameters; maximum likelihood estimation; multifrequency InSAR height reconstruction; multifrequency independent phase data; multifrequency wrapped phase; nonoverlapping band-pass filters; piecewise continuous elevation patterns; sloped terrain height profiles; two-dimensional spectral partition; unwrapping method; Band pass filters; Earth; Filtering; Image reconstruction; Maximum likelihood estimation; Phase noise; Surface reconstruction; Surface topography; Synthetic aperture radar; Synthetic aperture radar interferometry;
Journal_Title :
Image Processing, IEEE Transactions on
DOI :
10.1109/TIP.2002.804274