Measurement of the target scattering matrix

Huynen, J. Richard

doi:10.1109/proc.1965.4072

Cited by 146 publications

(56 citation statements)

References 11 publications

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“…Now we detail the procedure of the derivation of the OA θ i as follows, which is based on Huynen's desying operation. First, the eigenvector k i is modelled by KennaughHuynen's co-diagonalization of scattering matrix (Huynen 1965;Touzi 2007). The corresponding scattering matrix S i of eigenvector k i can be parameterized as…”

Section: The Proposed Methodsmentioning

confidence: 99%

A novel deorientation method in PolSAR data processing

Zhu

Zhang

Dong

2016

Remote Sensing Letters

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Deorientation plays an important role in polarimetric synthetic aperture radar (PolSAR) target decomposition, terrain classification, and geophysical parameters retrieval. The existing deorientation method roughly rotates the target by an average/mixed orientation angle (OA) about the line of radar sight. However, regarding the complex highentropy mixed scatterer, which usually comprises several comparable sub-scatterers with different OAs, the average/mixed OA is obviously insufficient to account for the diverse OAs' reality. To address this, a novel PolSAR data deorientation method is proposed in this letter. The proposed method deorients a mixed scatterer by reconstructing the underlying sub-scatterers using the eigenvalue-based Cloude-Pottier decomposition first, and then compensates the OA of each reconstructed sub-scatterer using Huynen's desying operation, respectively. One important feature of the proposed method is that it is consistent with Huynen's desying operation that the real part of the (1, 3) element of the deoriented coherency matrix should be zero. The proposed method provides a fine deorientation for mixed targets, and is especially suitable for the extraction of oriented urban regions. Comparative experiments with the existing method on RADARSAT-2 PolSAR data demonstrate the excellent deorientation performance of the proposed method.ARTICLE HISTORY

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Section: The Proposed Methodsmentioning

confidence: 99%

A novel deorientation method in PolSAR data processing

Zhu

Zhang

Dong

2016

Remote Sensing Letters

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“…The most commonly-used decomposition is that of the scattering matrix which is known as Pauli decomposition. It decomposes the scattering matrix for mono-static case into three components for studying the surface properties which are represented as single-bounce (S HH + S VV ), double-bounce (S HH -S VV ), and volumetric ( S HV ) scattering mechanisms (Huynen, 1965), (William, 2012). These components are represented by the Pauli vector as in equation 2.…”

Section: Feature Extractionmentioning

confidence: 99%

Polarimetric Signatures Identification for Different Features in Radarsat-2 Polsar Image: A Case Study of Halayib Area, Egypt

Nasr¹,

Abdelhamid²

2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:In fully polarized SAR (PolSAR) data the returned signal from a target contains all polarizations. More information about this target may be inferred with respect to single-polarization. Distinct polarization separates targets due to its different backscattering responses. A Radarsat-2 PolSAR image acquired on December 2013 of part of Halayib area (Egypt) was used in this study. Polarimetric signatures for various features (Wadi deposits, Tonalite, Chlorite schist, and Radar penetrated areas) were derived and identified. Their Co-polarized and Cross-polarized signatures were generated, based on the calculation of the backscattered power at various ellipticity and orientation angles. Graphical 3D-representation of these features was provided and more details of their physical information are depicted according to their different polarization bases. The results illustrate that polarimetric signatures, obtained due to factors like surface roughness, dielectric constant and feature orientation, can be an effective representation for analyzing various features. The shape of the signature is significant and can also indicate the scattering mechanisms dominating the features response.

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“…(1) because of reciprocity (Huynen, 1965); thus only three elements of S are required to describe scattering.…”

Section: Inversion Of Sar Polarimetry For Scattering Mechanism Signatmentioning

confidence: 99%

Synthetic aperture radar (SAR)-based mapping of volcanic flows: Manam Island, Papua New Guinea

Weissel

Czuchlewski

Kim

2004

Nat. Hazards Earth Syst. Sci.

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Abstract. We present new radar-based techniques for efficient identification of surface changes generated by lava and pyroclastic flows, and apply these to the 1996 eruption of Manam Volcano, Papua New Guinea. Polarimetric L-and P-band airborne synthetic aperture radar (SAR) data, along with a C-band DEM, were acquired over the volcano on 17 November 1996 during a major eruption sequence. The Lband data are analyzed for dominant scattering mechanisms on a per pixel basis using radar target decomposition techniques. A classification method is presented, and when applied to the L-band polarimetry, it readily distinguishes bare surfaces from forest cover over Manam volcano. In particular, the classification scheme identifies a post-1992 lava flow in NE Valley of Manam Island as a mainly bare surface and the underlying 1992 flow units as mainly vegetated surfaces. The Smithsonian's Global Volcanism Network reports allow us to speculate whether the bare surface is a flow dating from October or November in the early part of the late-1996 eruption sequence. This work shows that fully polarimetric SAR is sensitive to scattering mechanism changes caused by volcanic resurfacing processes such as lava and pyroclastic flows. By extension, this technique should also prove useful in mapping debris flows, ash deposits and volcanic landslides associated with major eruptions.

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Measurement of the target scattering matrix

Cited by 146 publications

References 11 publications

A novel deorientation method in PolSAR data processing

A novel deorientation method in PolSAR data processing

Polarimetric Signatures Identification for Different Features in Radarsat-2 Polsar Image: A Case Study of Halayib Area, Egypt

Synthetic aperture radar (SAR)-based mapping of volcanic flows: Manam Island, Papua New Guinea

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