Abstract:The visualization of fully polarimetric radar data is hindered by traditional remote sensing methodologies for displaying data due to the large number of parameters per pixel in such data, and the non-scalar nature of variables such as phase difference. In this paper, a new method is described that uses icons instead of image pixels to represent the image data so that polarimetric properties and geographic context can be visualized together. The icons are parameterized using the alpha-entropy decomposition of polarimetric data. The resulting image allows the following five variables to be displayed simultaneously: unpolarized power, alpha angle, polarimetric entropy, anisotropy and orientation angle. Examples are given for both airborne and laboratory-based imaging.
Tola1 polarizations at various temperatures have been measured for aiimoiiia, boron trichloridc, chlorodifluoromethane, chlorotrifluoromethane, dichlorodifluoroinethane, 1 ,1-difluoroethylene, diniethyl ether, ethyl chloride, fluoroforni, methyl bromide, methyl chloride and triinethylamine, and the results compared with earlier measurements.
Abstract. Measurements from polarimetric radar systems are often represented in the form of a pair of polarization response curves, one showing the co-polarized response, the other the cross-polarized. This representation is effectively a latitude-longitude plot of the Poincaré sphere. Despite its familiarity in the literature, this presentation of the polarimetric response fails to present optimally the data in an intuitive and straightforward manner. As an alternative, this work describes a polar projection that presents the data in a manner that is more effective at communicating the key aspects of the polarization response. The key advantages are that the orientation and helicity are immediately apparent, and that the equal area projection does not bias the visual emphasis towards circular polarizations.
Abstract-This paper presents a new method for the visualisation of polarimetric response patterns on a synoptic basis. The aim of this approach is to synthesise traditional polarimetric response graphs with the spatial overview provided by standard remote sensing image processing techniques. By doing this, an effective means of exploring phenomenological polarimetric response patterns is achieved, which may prove to be a valuable input for the development of modelling strategies and the application of polarimetry.
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