Potential of coherent decompositions in SAR polarimetry and interferometry

Alberga, Vito; Krogager, E.; Chandra, Madhu; Wanielik, Gerd

doi:10.1109/igarss.2004.1370682

Cited by 15 publications

(9 citation statements)

References 6 publications

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“…Polarimetric target decomposition theorems permit the identification of different scattering mechanisms corresponding to sets of theoretical models and they can recognize and weight the contributions of different ideal targets in a scene. Figure 5(a) is the pseudo-colour composite image of coherent Pauli decomposition, in which the scattering power can be decomposed as single-bounce, double-bounce and 45 • rotated double-bounce scattering components (they are coloured red, green and blue, respectively; Alberga et al 2004). It can be found that the buildings can be distinguished from forest area because of the colour sensitivity of eyes.…”

Section: Target Detection Based On Psp and Discussionmentioning

confidence: 98%

Similarity-enhanced target detection algorithm using polarimetric SAR images

Zhang

Zou

Tang

2012

International Journal of Remote Sensing

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Section: Target Detection Based On Psp and Discussionmentioning

confidence: 98%

Similarity-enhanced target detection algorithm using polarimetric SAR images

Zhang

Zou

Tang

2012

International Journal of Remote Sensing

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“…Moreover, φ is the absolute phase term which depends on the distance between the target and the sensor, φ s represents the displacement of the sphere with respect to the diplane and the helix components, and η is their orientation angle. The scattering coefficients k s , k d and k h may be computed from the circular polarization scattering components [8] as follows:…”

Section: Krogager Decompositionmentioning

confidence: 99%

“…In several earlier studies, the Krogager decomposition has been shown to be the most suitable, among other coherent polarimetric decompositions, in dividing man-made targets from natural targets [8]- [9], however it is not capable of distinguish between different man-made targets [10]. Furthermore, in [11] is shown that k s , k d and k h are roll-invariant.…”

Section: Krogager Decompositionmentioning

confidence: 99%

Krogager decomposition and Pseudo-Zernike moments for polarimetric distributed ATR

Gaglione

Clemente

Pallotta³

et al. 2014

2014 Sensor Signal Processing for Defence (SSPD)

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Automatic Target Recognition (ATR) is one of the most challenging areas of the modern radar signal processing field. In this paper a recognition algorithm for full-polarimetric SAR images, that is robust with respect to rotations and target roll, is presented. It is based on the use of the pseudo-Zernike moments and the Krogager decomposition components, and exploits multiple sources of information such as polarization and spatial diversity. The effectiveness of the proposed approach has been demonstrated with real full polarimetric SAR data.

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“…Since each scattering cell of the polarimetric interferometric SAR (PolInSAR) data has two scattering matrixes or scattering vectors corresponding to the master and the slave antennas, coherence enhancement between the master and slave images becomes possible. In recent years, several algorithms have been proposed, such as the optimal vector interferometry in [1], the coherent decompositions method in [2] and so on. In this paper, a quite different method is proposed, based on the optimization of the amplitudes of the complex signals.…”

mentioning

confidence: 99%