A Study of Fresenel Scattered Field for Non-Spherical Discrete Scatterers

Ewe, Hong Tat; Chuah, H. T.

doi:10.2528/pier99060701

Cited by 14 publications

(15 citation statements)

References 12 publications

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“…Applying the same thin cylinder approximation arguments that led to Equation (40), the remaining integrations for I 21 are…”

Section: Fresnel Green's Functionmentioning

confidence: 98%

“…Fung et al [39] considered the effects on backscattering for both disc-and needle-shaped leaves in the Fresnel zone of one another for a layer of vegetation using an intensitybased approach. Ewe and Chuah evaluated Fresnel effects on the individual scattering characteristics of discs, needles, and cylinders [40] and applied the approach to a single layer of random media [41]. Koay et al [42] included Fresnel corrections in their investigation of the maturation cycle of rice paddy canopies modeled as a multilayered dense random medium comprising needles and cylinders.…”

Section: Introductionmentioning

confidence: 99%

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A successive scattering methodology with application to two cylinders in the Fresnel region of each other

Hooker

Lang

2012

Waves in Random and Complex Media

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We present an efficient approach to compute the second-order scattering of an electromagnetic wave by two discrete scatterers in proximity to each other. Such a two-body system represents the simplest canonical arrangement to address near-field volume scattering phenomena in microwave remote sensing models of vegetation. Using an analytical wave-based approach, a successive scattering methodology is employed to derive the first interaction term in multiple scattering by two arbitrary scatterers in terms of their transition operators. The general formulation is applied to find the second-order bistatic scattering amplitude for a pair of finite length thin cylinders at arbitrary interaction distances using the exact Green's function. To improve computational efficiency, the solution is then specialized to the Fresnel region. These second-order bistatic scattering amplitude results are in agreement with the exact Green's function model when the scatterers are in the Fresnel region of each other. Additionally, it is demonstrated that using the far field approximation in the Fresnel region can yield significant deviations from the exact results. The Fresnel model, unlike the far field approximation, accurately predicts the scattering amplitude peak values and null locations, and is suited to fast solutions in realistic canopy simulations.

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“…Applying the same thin cylinder approximation arguments that led to Equation (40), the remaining integrations for I 21 are…”

Section: Fresnel Green's Functionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

A successive scattering methodology with application to two cylinders in the Fresnel region of each other

Hooker

Lang

2012

Waves in Random and Complex Media

View full text Add to dashboard Cite

show abstract

“…There are several approaches which can be used ( Figure 5). These include the semi-empirical Water Cloud Model (WCM) [22], Radiative Transfer Model (RTM) [37] and 3D parameterizations [38]. In this work the (WCM) was used.…”

Section: Vegetation Moisture Datamentioning

confidence: 99%

Influence of Vegetation Cover on the Oh Soil Moisture Retrieval Model: A Case Study of the Malinda Wetland, Tanzania

Kirimi¹,

Kuria²,

Thonfeld³

et al. 2016

ARS

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“…In this model, however, the rice fields are modeled as electrically dense media, where the average distance between the scatterers are small in comparison to the wavelength of the incident wave. The Dense Medium Phase and Amplitude Correction Theory (DM-PACT) [30,31] is used to account for the coherent effects between scatterers, while the Fresnel Corrections [32] are used to consider the near field effects. The phase matrices are then applied to the radiative transfer equation [33], given as:…”

Section: Appendix a Theoretical Modelmentioning

confidence: 99%

Classification of Multi-Temporal Sar Images for Rice Crops Using Combined Entropy Decomposition and Support Vector Machine Technique

Tan¹,

Koay²,

Lim³

et al. 2007

PIER

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Abstract-This paper presents a combined Entropy Decomposition and Support Vector Machine (EDSVM) technique for SyntheticAperture Radar (SAR) image classification with the application on rice monitoring. The objective of this paper is to assess the use of multi-temporal data for the supervised classification of rice planting area based on different schedules. Since adequate priori information is needed for this supervised classification, ground truth measurements of rice fields were conducted at Sungai Burung, Selangor, Malaysia for an entire season from the early vegetative stage of the plants to the ripening stage. The theoretical results of Radiative Transfer Theory based on the ground truth parameters are used to define training sets of the different rice planting schedules in the feature space of Entropy Decomposition. The Support Vector Machine is then applied to the feature space to perform the image classification. The effectiveness of this algorithm is demonstrated using multi-temporal RADARSAT-1 data. The results are also used for comparison with the results based on information of training sets from the image using Maximum Likelihood technique, Entropy Decomposition technique and Support Vector Machine technique. The proposed method of EDSVM has shown to be useful in retrieving polarimetric information for each class and it gives a good separation between classes. It not only gives significant results on the classification, but also extends the application of Entropy Decomposition to cover multi-temporal data. Furthermore, the proposed method offers the ability to analyze single-polarized, multi-temporal data with the advantage of the unique features from the combined method of Entropy Decomposition and Support Vector Machine which previously only applicable to multipolarized data. Classification based on theoretical modeling is also one of the key components in this proposed method where the results from the theoretical models can be applied as the input of the proposed method in order to define the training sets.

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A Study of Fresenel Scattered Field for Non-Spherical Discrete Scatterers

Cited by 14 publications

References 12 publications

A successive scattering methodology with application to two cylinders in the Fresnel region of each other

A successive scattering methodology with application to two cylinders in the Fresnel region of each other

Influence of Vegetation Cover on the Oh Soil Moisture Retrieval Model: A Case Study of the Malinda Wetland, Tanzania

Classification of Multi-Temporal Sar Images for Rice Crops Using Combined Entropy Decomposition and Support Vector Machine Technique

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