Study On The Applications Of Multi-angle Polarization Detection Technique In The Recognition Of Ground Objects

Polarization detection is a new kind of remote sensing technique that can overcome the disadvantages of the traditional techniques, and it can also obtain the information that the traditional techniques cannot provide. However, application of the polarization detection technique on ground object’s recognition is still in the state of fundamental research. This paper conducts the study on the relevant thesis and techniques in the ground objects’ recognition by means of combining the multi-angle detection with polarization detection. The main contents are as follows:Firstly, the present status of the development of polarization detection technology is summarized, including the application of polarization detection in different fields and the research progress of the polarization detection instrument, and then the task of this paper is also presented.Secondly, this paper derives the polarization model of targets minutely, based on which the intrinsic parameters(refractive index, extinction coefficient and surface roughness) of different targets are quantitatively determined, which provides the possibility that polarization detection can be used in quantitative remote sensing.Then, taking the refractive index, extinction coefficient and surface roughness as the parameters for target’s revision, the influence on polarization revision of the relative parameters of multi- angle polarization detection instrument is analyzed by using Monte Carlo analysis and nonlinear least square method, including the spectral and spectral resolution, spatial resolution, polarization accuracy of the instrument, the signal to noise ratio and the multi-angle detection, which provides guidance for the design of the instrument.Finally, using the polarization detection instrument developed by laboratory, field experiments are carried out. By collecting images of typical target, we make a detailed analysis of the advantages of polarization imaging, and then an algorithm on the revision of a scene based on polarization images is proposed.