Paper Info
Title
An Analytical Model for Optical Polarimetric Imaging Systems
Abstract
Optical polarization has shown promising applications in passive remote sensing. However, the combined effects of the scene characteristics, the sensor configurations, and the different processing algorithm implementations on the overall system performance have not been systematically studied. To better understand the effects of various system attributes and help optimize the design and use of polarimetric imaging systems, an analytical model has been developed to predict the system performance. The model propagates the first- and second-order statistics of radiance from a scene model to a sensor model and, finally, to a processing model. Validations with data collected from a division of time polarimeter are presented. Based on the analytical model, we then define a signal-to-noise ratio of the degree of linear polarization and receiver operating characteristic curves as two different system performance metrics to evaluate the polarimetic signatures of different objects, as well as the target detection performance. Several examples are presented to show the potential applications of the analytical model for system analysis.
Year
DOI
Venue
2014
10.1109/TGRS.2014.2299272
IEEE T. Geoscience and Remote Sensing
Keywords
DocType
Volume
imaging system,remote sensing,light propagation,second-order statistics,statistical analysis,passive remote sensing,analytical model,polarization,polarimetry,optical sensor,first-order statistics,optical polarimetric imaging system,receiver operating characteristic curve,optical receivers,image sensors,optical polarization,target detection,optical sensors,target detection performance,light polarisation,time polarimeter,data collection,signal-to-noise ratio,vectors,stokes parameters,imaging
Journal
52
Issue
ISSN
Citations 
10
0196-2892
1
PageRank 
References 
Authors
0.37
12
2
Name
Order
Citations
PageRank
Lingfei Meng121.41
John P. Kerekes219435.38