DocumentCode :
2222675
Title :
Interferometric GNSS-R achievable altimetric performance and compression/denoising using the wavelet transform: An experimental study
Author :
Camps, Adriano ; Martín, F. ; Park, Hyuk ; Valencia, Enric ; Rius, Antonio ; Addio, S.D.
Author_Institution :
Barcelona Tech & IEEC/CRAE-UPC, Univ. Politec. de Catalunya, Barcelona, Spain
fYear :
2012
fDate :
22-27 July 2012
Firstpage :
7512
Lastpage :
7515
Abstract :
Reflectometry using Global Navigation Satellite System´s (GNSS) opportunity signals was originally conceived for altimetry [1]. However, when the GNSS signals scatter over the Earth´s surface (or propagates through the atmosphere), the amplitude and polarization characteristics change, which can be used for many other remote sensing applications such as sea state, water level, soil moisture, vegetation height, snow depth monitoring, atmospheric profiling... ([2], [3] among many others). In [4] and [5], recent experimental results from an ESA-sponsored airborne campaign carried out in June and November 2011 in the Baltic sea are presented using conventional and interferometric GNSS-R, respectively. In this work the properties of the measured interferometric GNSS-R waveforms are studied, and the wavelet transform is applied to compress and denoise the waveforms. This is of interest for future missions, such as ESA´s proposal of PARIS IoD, to reduce the amount of data to be stored on board and downloaded to Earth.
Keywords :
data compression; geophysical signal processing; geophysical techniques; height measurement; microwave reflectometry; oceanographic regions; radiowave interferometry; remote sensing; satellite navigation; signal denoising; wavelet transforms; AD 2011 06; AD 2011 11; Baltic sea; ESA-sponsored airborne campaign; Earth surface; GNSS opportunity signals; GNSS signal scattering; Global Navigation Satellite System; PARIS IoD; amplitude characteristics; atmospheric profiling; conventional GNSS-R; interferometric GNSS-R achievable altimetric performance; polarization characteristics; reflectometry; remote sensing application; sea state; signal propagation; snow depth monitoring; soil moisture; vegetation height; water level; waveform compression; waveform denoising; wavelet transform; Correlation; Delay; Noise reduction; Signal to noise ratio; Speckle; Wavelet transforms; GNSS-R; SNR; altimetry; compression; denoising; noise; speckle; waveform; wavelet;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
ISSN :
2153-6996
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2012.6351894
Filename :
6351894
Link To Document :
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