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Atmospheric and Oceanic Optics

2016 year, number 7

Direct and inverse problems of hyperspectral remote airborne sensing

V.V. Kozoderov1, E.V. Dmitriev2
1Lomonosov Moscow State University, GSP-3, Leninskiye Gory, Moscow, 119899, Russia
2The Institute of Numerical Mathematics of the Russian Academy of Sciences, Gubkin str., 8, Moscow, 119333, Russia
Keywords: дистанционное зондирование, обработка гиперспектральных изображений, распознавание лесной растительности, восстановление параметров, прямые и обратные задачи, remote sensing, optical imagery processing, pattern recognition of forest vegetation, parameters retrieval, direct and inverse problems

Abstract

Evolving cognitive technologies of forest cover pattern recognition of different species and ages while hyperspectral airborne imagery processing, characteristic features of the images formation obtained by optical receiving devices are considered together with models of the registered spectra description and forest cover parameters retrieval. Specific conditions are shown of direct problems solution in the form of dependence of the spectral functional on optical properties of the forest canopy and inverse problems of the forest vegetation phytomass volume retrieval as well as its biological productivity parameters in their possible applications in climate models.