Parametric versus non-parametric complex image analysis

Author

Singh, Jagmal ; Soccorsi, Matteo ; Datcu, Mihai

Author_Institution

German Aerosp. Center (DLR), Wessling, Germany

Volume

3

fYear

2009

fDate

12-17 July 2009

Abstract

In this paper we compare parametric and non-parametric method for the analysis of complex valued high-resolution SAR data. Gauss-Markov Random Field (GMRF) model with a quadratic energy function as a parametric analysis parameterizes the spectogram of the signal, whereas nonlinear short time Fourier transform (STFT) method, the method based on time frequency analysis (TFA) as a non-parametric approach exploits the signal´s non-stationarity in the time-frequency domain for information extraction. This comparative analysis helps to understand, characterize and analyze complex valued SAR data.

Keywords

Fourier transforms; Markov processes; geophysical image processing; geophysical techniques; pattern clustering; remote sensing by radar; synthetic aperture radar; time-frequency analysis; Gauss-Markov random field model; high-resolution SAR data; information extraction; nonlinear short time Fourier transform method; nonparametric complex image analysis; parametric complex image analysis; time frequency analysis; Data mining; Fourier transforms; Gaussian processes; Image analysis; Image resolution; Image texture analysis; Information analysis; Signal analysis; Signal resolution; Time frequency analysis; Gauss-Markov Random Field; Information Extraction; Short Time Fourier Transform; Single Look Complex; Time Frequency Analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009

Conference_Location

Cape Town

Print_ISBN

978-1-4244-3394-0

Electronic_ISBN

978-1-4244-3395-7

Type

conf

DOI

10.1109/IGARSS.2009.5418272

Filename

5418272