DocumentCode :
2664276
Title :
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
Link To Document :
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