A transition model for the reflection coefficient in surface scattering

Wu, Tzong‐Dar; Chen, K.S.; Fung, A.K.; Tsay, Mu‐King

doi:10.1109/igarss.1998.702218

Cited by 42 publications

(56 citation statements)

References 4 publications

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“…Such approximation, however, leads to an unpredictable error for the local incident angle which is random in nature across the rough surface. A transition model was proposed [11] to fix such deficiency. It is necessary to generalize the transition function so that the local angle variation is accounted for.…”

Section: A New Transition Function For Fresnel Reflection Coefficientsmentioning

confidence: 99%

“…Another leap forward step was the introduction of a transition function into the Fresnel reflection coefficients to take spatial dependence into account, removing the restrictions on the limits of surface roughness and permittivity [3,11]. Though the approach is of heuristic but self-consistent, it proves to work well for a broad range of surface dielectric and geometric parameters [6,11,14].…”

Section: Introductionmentioning

confidence: 99%

“…Driven by the need of predicting bistatic scattering and microwave emissivity, much effort has been devoted to further improving the IEM accuracy [9][10][11][12][13][14][15][16][17][18][19] by removing some of the assumptions originally imposed for the purpose of mathematical simplicity during the course of derivation. Another leap forward step was the introduction of a transition function into the Fresnel reflection coefficients to take spatial dependence into account, removing the restrictions on the limits of surface roughness and permittivity [3,11].…”

Section: Introductionmentioning

confidence: 99%

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Extension and Validation of an Advanced Integral Equation Model for Bistatic Scattering From Rough Surfaces

Chen¹,

Chen²,

Li³

et al. 2015

PIER

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Abstract-This paper deals with the modeling of bistatic scattering from a randomly rough surface. An advanced integral equation model is presented by giving its general framework of model developments, model expressions, and predictions of bistatic scattering for various surface parameters. Extension work to improve the model accuracy is also reported in more detail. In particular, the transition function for the Fresnel reflection coefficient is in more general form. Model predictions are illustrated, demonstrated, and validated by extensive comparisons with numerical simulations. The updated advanced integral equation model remains a compact algebraic form for single scattering and substantially improves prediction accuracy in bistatic scattering that is drawing more emerging applications in earth remote sensing.

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Section: A New Transition Function For Fresnel Reflection Coefficientsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Extension and Validation of an Advanced Integral Equation Model for Bistatic Scattering From Rough Surfaces

Chen¹,

Chen²,

Li³

et al. 2015

PIER

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“…In recent years, various improvements have been achieved in the performance of existing backscattering models [19][20][21], in particular by enlarging their field of applicability. Various studies have contributed to the use of a more complete description of soil surface roughness for forward studies [22][23][24][25][26][27][28][29][30].…”

Section: Introductionmentioning

confidence: 99%

Potential of X-Band TerraSAR-X and COSMO-SkyMed SAR Data for the Assessment of Physical Soil Parameters

Gorrab

Zribi

Baghdadi³

et al. 2015

Remote Sensing

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Abstract:The aim of this paper is to analyze the potential of X-band SAR measurements (COSMO-SkyMed and TerraSAR-X) made over bare soils for the estimation of soil moisture and surface geometry parameters at a semi-arid site in Tunisia (North Africa). Radar signals acquired with different configurations (HH and VV polarizations, incidence angles of 26° and 36°) are statistically compared with ground measurements (soil moisture and roughness parameters). The radar measurements are found to be highly sensitive to the various soil parameters of interest. A linear relationship is determined for the radar signals as a function of volumetric soil moisture, and a logarithmic correlation is observed between the radar signals and three surface roughness parameters: the root mean square height (Hrms), the parameter Zs = Hrms 2 /l (where l is the correlation length) and the parameter Zg = Hrms × (Hrms/l) α (where α is the power of the surface height correlation function). The highest dynamic sensitivity is observed for Zg at high incidence angles. Finally, the performance of different physical and semi-empirical backscattering models (IEM, Baghdadi-calibrated IEM and Dubois models) is compared with SAR measurements. The results provide an indication of the limits of validity of the IEM and Dubois models, for various radar configurations and roughness conditions. Considerable improvements in OPEN ACCESSRemote Sens. 2015, 7 748 the IEM model performance are observed using the Baghdadi-calibrated version of this model.

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“…In scattering models, surface roughness is difficult to describe, and its scattering process or spectral signature is always a focus of study. After the IEM was proposed by Fung in 1992, several researchers tried to modify it to simulate scattering intensity more accurately by means such as multiscale surface roughness spectral functions, transition models for reflection coefficients, and an absolute phase term to describe multiple scattering contributions [14][15][16][17][18][19]. In the case of rough surfaces or interfaces, the multiple scattering contributions are no longer small and should not be ignored.…”

Section: Introductionmentioning

confidence: 99%

Scattering Mechanisms for the “Ear” Feature of Lop Nur Lake Basin

et al. 2014

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Lop Nur is a famous dry lake in the arid region of China. It was an important section of the ancient "Silk Road", famous in history as the prosperous communication channel between Eastern and Western cultures. At present, there is no surface water in Lop Nur Lake basin, and on SAR (Synthetic Aperture Radar) images, it looks like an "Ear". The objective of this paper is to interpret the Lop Nur phenomenon from the perspective of scattering mechanisms. Based on field investigation and analysis of sample properties, a two-layer scattering structure is proposed with detailed explanations of scattering mechanisms. In view of the rough surface, the MIEM (Modified Integral Equation Model) was introduced to represent air-surface scattering in Lop Nur. Then, a two-layer scattering model was developed which can describe surface scattering contribution. Using polarimetric decomposition, validations were carried out, and the RMSE (root mean square error) values for the HH and VV polarizations were found to be 1.67 dB and 1.06 dB, respectively. Furthermore, according to model parametric analysis, surface roughness was identified as an apparent reason for the "Ear" feature. In addition, the polarimetric decomposition result also showed that the volume scattering part had rich texture information and could portray the "Ear" feature exactly compared with the other two parts. It is maintained that subsurface properties, mainly generating volume scattering, can determine the surface roughness under the certain climate conditions, according to geomorphological dynamics, which can help to develop an inversion technology for Lop Nur.

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A transition model for the reflection coefficient in surface scattering

Cited by 42 publications

References 4 publications

Extension and Validation of an Advanced Integral Equation Model for Bistatic Scattering From Rough Surfaces

Extension and Validation of an Advanced Integral Equation Model for Bistatic Scattering From Rough Surfaces

Potential of X-Band TerraSAR-X and COSMO-SkyMed SAR Data for the Assessment of Physical Soil Parameters

Scattering Mechanisms for the “Ear” Feature of Lop Nur Lake Basin

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