DocumentCode :
2676055
Title :
Dual-polarization spectral decompositions: Application to radar parameter estimation and quality control
Author :
Chandrasekar, V. ; Moisseev, Dmitri N. ; George, Jim
Author_Institution :
Colorado State Univ., Fort Collins
fYear :
2007
fDate :
23-28 July 2007
Firstpage :
3305
Lastpage :
3308
Abstract :
Spectral decompositions of dual polarization observation allows for extending of analysis of polarimetric radar data to the new dimension, namely Doppler frequency domain. In this paper it is shown how this new paradigm can be used for improving quality of radar data. On an example of the CSU- CHILL observations it is demonstrated that this analysis can be used to design a spectral filter that allows for both ground clutter mitigation and radar sensitivity improvement.
Keywords :
clutter; filters; geophysical signal processing; parameter estimation; radar polarimetry; radar signal processing; remote sensing by radar; signal denoising; CSU-CHILL observations; Doppler frequency domain; dual polarization spectral decomposition; ground clutter mitigation; polarimetric radar data; radar parameter estimation; radar quality control; radar sensitivity improvement; spectral filter design; Doppler radar; Filters; Frequency; Noise measurement; Parameter estimation; Quality control; Radar applications; Radar clutter; Radar polarimetry; Reflectivity; dual-polarization spectral measurements; ground clutter mittigation; radar signal processing;
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.2007.4423551
Filename :
4423551
Link To Document :
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