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Interpretation of aircraft sea ice microwave data

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2 Author(s)
Bogorodsky, V. ; Arctic and Antarctic Research Inst., Leningrad, USSR ; Darovskih, A.

This paper deals with the Bayesian classifier and its application for a radiometric discrimination of sea ice types. Microwave data used for these studies have been acquired from a dual-frequency passive nadir-looking radiometer which records radiation from earth at wavelengths of 1.6 and 3.2 cm. In addition, a photographic system and IR radiometer operating at8-14 mum were used in aircraft experiments. Empirical brightness temperature probability distributions for water surface and several ice types for spring (March-April) and autumn (September-October) are given. It is shown that, in order to improve a radiometric discrimination and at the same time to maintain the spatial resolution, it is necessary to use nonlinear low-frequency filtering.

Published in:

Oceanic Engineering, IEEE Journal of  (Volume:9 ,  Issue: 5 )