Paper Info
Title
Interferometric GNSS-R achievable altimetric performance and compression/denoising using the wavelet transform: An experimental study
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.
Year
DOI
Venue
2012
10.1109/IGARSS.2012.6351894
Geoscience and Remote Sensing Symposium
Keywords
Field
DocType
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,GNSS-R,SNR,altimetry,compression,denoising,noise,speckle,waveform,wavelet
Altimeter,Satellite navigation,Computer science,Remote sensing,Remote sensing application,GNSS applications,Reflectometry,Geodesy,Sea state,Wavelet transform,Wavelet
Conference
ISSN
ISBN
Citations 
2153-6996 E-ISBN : 978-1-4673-1158-8
978-1-4673-1158-8
3
PageRank 
References 
Authors
0.60
6
6
Name
Order
Citations
PageRank
Adriano Camps11050218.43
Francisco Martin2518.28
Hyuk Park313726.44
Enric Valencia428435.64
Antonio Rius513222.33
Salvatore D'Addio613918.08