Clutter analysis of high resolution millimeter-wave SAR-data in the spatial and wavelet domain

Author

Wellig, Peter ; Schmid, Konrad ; Essen, Helmut ; Kurz, Anika ; Schimpf, Hartmut ; Brehm, Thorsten

Author_Institution

Sci. & Technol. Radar & Optronics, Bern

fYear

2007

fDate

23-28 July 2007

Firstpage

559

Lastpage

562

Abstract

This paper presents the analysis of high resolution millimeter SAR clutter data, measured in a joint Swiss-German flight campaign. The generalized Gaussian function and the Kolmogorov-Smirnov test are considered to test the hypothesis of Gaussian clutter process. 35 GHz and 94 GHz data are compared. The results are presented in the time and wavelet domain, as the wavelet domain is an import transform domain for the development of terrain classification, target recognition and data compression algorithms.

Keywords

airborne radar; data compression; image classification; object recognition; radar clutter; remote sensing by radar; synthetic aperture radar; terrain mapping; Kolmogorov-Smirnov test; clutter analysis; data compression; frequency 35 GHz; frequency 94 GHz; generalized Gaussian function; high resolution millimeter-wave SAR data; joint Swiss-German flight campaign; spatial domain analysis; target recognition; terrain classification; wavelet domain analysis; Clutter; Data mining; Millimeter wave measurements; Millimeter wave radar; Millimeter wave technology; Spatial resolution; Synthetic aperture radar; Testing; Wavelet analysis; Wavelet domain; Kolmogorov-Smirnov test; SAR clutter; generalized Gaussian function; wavelet decomposition;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International

Conference_Location

Barcelona

Print_ISBN

978-1-4244-1211-2

Electronic_ISBN

978-1-4244-1212-9

Type

conf

DOI

10.1109/IGARSS.2007.4422855

Filename

4422855