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21 December 1994Theoretical modelling of active and passive microwave surface parameters in remote sensing
The determination of the optimum experimental conditions to produce the best qualitative results is necessary both in active and passive microwave remote sensing (RS). In this paper we show the decision process involved in solving two problems connected with the selection of the best conditions for earth surface microwave RS: Calculation of the statistical relationship between scattered and proper surface radiation data for different kinds of surface sensed. Determination of the optimal algorithms and boundary accuracies for surface parameters by active and passive microwave sensors. Optimal estimation algorithms for surface parameters (dielectric permittivity, thermodynamical temperature, surface slop, spectral spatial components of rough surface height, etc.) have been found by a maximum likelihood function method. The results found can help to plan RS microwave experiments of surface parameter estimation with predicted accuracies.
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Vladimir Illich Ponomarev, Ricardo Peralta-Fabi, Valerii Konstantinovich Volosyuk, "Theoretical modelling of active and passive microwave surface parameters in remote sensing," Proc. SPIE 2313, Microwave Instrumentation and Satellite Photogrammetry for Remote Sensing of the Earth, (21 December 1994); https://doi.org/10.1117/12.197347