Spatial and frequency averaging techniques for a polarimetric scatterometer system

Monakov, A. A.; Vivekanandan, J.; Stjernman, Anders; Nystrom, A.

doi:10.1109/36.285201

Cited by 17 publications

(18 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…where ⋅ ⋅ ⋅ denotes averaging which is made over 360 degrees of azimuth coverage and bandwidth smoothing [3,9]. Fig.…”

Section: Vegetation Retrieval Models For Gb-polinsarmentioning

confidence: 99%

“…To improve the estimate we employ a mixed coherence/phase algorithm as described in [11]. The height of plant is then defined as: (9) where h 1 is the phase based height estimate defined as…”

Section: Vegetation Retrieval Models For Gb-polinsarmentioning

confidence: 99%

“…0 = ε is used in (9), as suggested in [11], the compensated height of Syzygium australe is shown in Fig. 7.…”

Section: Vegetation Retrieval Models For Gb-polinsarmentioning

confidence: 99%

See 2 more Smart Citations

Structural Parameter Estimation of Australian Flora with a Ground-based Polarimetric Radar Interferometer

Zhou

Cloude²

2006

2006 IEEE International Symposium on Geoscience and Remote Sensing

View full text Add to dashboard Cite

Abstract-The application of polarimetric SAR interferometry technology is extended to ground based radar imaging (GBPOLInSAR), which has a limited field of view but provides wide band coverage. It also provides for easier deployment of broadband and multi-baseline techniques, from which we can estimate vegetation structure and extinction propagation using model based techniques. This micro-scale multi-parameter combination with good temporal resolution is a unique feature of groundbased sensors.In this paper we present both polarimetric and interferometric coherence calibration results for such a GB-POLInSAR system we have developed at the University of Adelaide. We then show an initial study of height estimation of Australian native plants based on the coherence parameter retrieval models of the polarimetric SAR interferometry technique using the broadband GB-POLInSAR system.

show abstract

“…where ⋅ ⋅ ⋅ denotes averaging which is made over 360 degrees of azimuth coverage and bandwidth smoothing [3,9]. Fig.…”

Section: Vegetation Retrieval Models For Gb-polinsarmentioning

confidence: 99%

Section: Vegetation Retrieval Models For Gb-polinsarmentioning

confidence: 99%

See 1 more Smart Citation

Structural Parameter Estimation of Australian Flora with a Ground-based Polarimetric Radar Interferometer

Zhou

Cloude²

2006

2006 IEEE International Symposium on Geoscience and Remote Sensing

View full text Add to dashboard Cite

show abstract

“…Monakov et al [8] derived the FCF of a homogeneous rough surface using Kirchhoff approximation to arrive at an improved understanding of the fading characteristics of radar backscatter from rough surfaces. In their formulation, the surface correlation function was included in the analysis and the radar spot on the ground was treated as a single pixel.…”

Section: A Fcf For Rough Surfacesmentioning

confidence: 99%

“…Perhaps independently, Weissman [6], [7] demonstrated the application of two-frequency radars for the measurement of ocean waves heights using the Kirchhoff approximation of rough surface scattering. Another reported application of frequency correlation behavior of radar backscatter pertains to the characterization of backscatter statistics of distributed targets [8]. Using wideband radars and the backscatter at frequency steps wider than the decorrelation bandwidth of the target, the required independent samples are generated [9].…”

mentioning

confidence: 99%

Analysis and applications of backscattered frequency correlation function

Sarabandi

Nashashibi

1999

IEEE Trans. Geosci. Remote Sensing

View full text Add to dashboard Cite

Abstract-In this paper, the application of the radar backscatter frequency correlation for classification and inversion of physical parameters of terrestrial targets is investigated. Traditionally, in radar remote sensing, the backscattering coefficients and the backscatter phase difference statistics of a distributed target are considered for estimating the biophysical parameters of interest. Because of the complex nature of random media scattering problems, however, target classification and parameter inversion algorithms are very convoluted. One obvious way of enhancing the success and accuracy of an inversion algorithm is to expand the dimension of the input vector space. Depending on the radar parameters, such as footprint (pixel) size, incidence angle, and the target attributes (physical parameters), the backscatter signal decorrelates as function of frequency. In this paper, analytical and experimental procedures are developed to establish a relationship between the complex frequency correlation function (FCF) of the backscatter and the radar and target attributes. Specifically, two classes of distributed targets are considered: 1) rough surfaces and 2) random media. Analytical expressions for the frequency correlation function are derived and it is shown that the effect of radar parameters can be expressed explicitly and thus removed from the measured correlation functions. The University of Michigan wideband polarimetric scatterometer systems are used to verify the theoretical models and inversion algorithms developed in this study.

show abstract

Effects of corn on C- and L-band radar backscatter: A correction method for soil moisture retrieval

Joseph

Velde

O'Neill

et al. 2010

Remote Sensing of Environment

112

100

View full text Add to dashboard Cite

Spatial and frequency averaging techniques for a polarimetric scatterometer system

Cited by 17 publications

References 3 publications

Structural Parameter Estimation of Australian Flora with a Ground-based Polarimetric Radar Interferometer

Structural Parameter Estimation of Australian Flora with a Ground-based Polarimetric Radar Interferometer

Analysis and applications of backscattered frequency correlation function

Effects of corn on C- and L-band radar backscatter: A correction method for soil moisture retrieval

Contact Info

Product

Resources

About