When light is reflected from object surface, its spectral characteristics will be affected by surface’s elemental composition, while its polarimetric characteristics will be determined by the surface’s orientation, roughness and conductance. Multispectral polarimetric imaging technique records both the spectral and polarimetric characteristics of the light, and adds dimensions to the spatial in...

Classification of polarimetric SAR images has become a very important topic after the availability of Polarimetric SAR images through different sensors like SIR-C, ALOS-PALSAR etc. In this paper we studied effect of different decomposition techniques on the classification accuracy for polarimetric SAR data. We applied different target decomposition techniques (both coherent and incoherent) on A...

This paper gives an overview of dynamic polarimetric imaging techniques. Various methods are reviewed. Techniques using liquid crystal devices, incepted in the late 1990’s, are emphasized. Practical implementations are presented. We particularly focus on high-speed techniques (ie faster than 200 Hz).

The objective of this paper is to make a review of the current status of the PolSARpro v3.0 Software (Polarimetric SAR Data Processing and Educational Toolbox), developed under contract to ESA by a consortium comprising I.E.T.R at the University of Rennes 1, AELc, DLR-HR and Dr mark Williams from Adelaide. The objective of this current project is to provide Educational Software that offers a to...

This paper describes the development of techniques for the production of urban mapping data from interferometric polarimetric synthetic aperture radar (SAR) data. The information contained in the radar data originates from four types of data properties: • Radiometric, i.e. the channel intensities • Polarimetric, e.g. decomposition properties entropy and alpha • Interferometric, e.g. coherence a...

Polarimetric target decomposition enables the interpretation of radar images more easily, mostly based on physical assumptions, i.e., fitting physically-based scattering models to the polarimetric SAR observations. However, the model-fitting result cannot be always successful. Particularly, the performance of model-fitting in sloping forests is still an open question. In this study, the effect ...

the polarimetric entropy and the alpha angle are two important parameters for analyzing polarimetric synthetic aperture radar data. they demonstrate the degree of randomness in the polarization of the received signal and scattering mechanism of scatterers respectively. recently, there has been an increasing interest in compact polarimetry due to its advantages in comparison with full polarimetr...

Conventional SAR processing techniques generally assume that targets have a stationary behavior during the SAR integration. However, SAR sensors operating at lower frequencies, like Land P-band, have a wide antenna characteristic in azimuth; i.e. during the formation of the synthetic aperture, multiple squint-angles are integrated to build the full-resolution SAR image. In this paper, a fully p...

Polarization adds another dimension to the spatial intensity and spectral information typically acquired in remote sensing. Polarization imparted by surface reflections contains unique and discriminatory signatures which may augment spectral target-detection techniques. Benefits such as improving man-made object detection are often touted, as well as possible improvements to spectral algorithms...