Vol. 29, issue 07, article # 1

Kozodyorov V.V., Dmitriev E.V. Direct and inverse problems of hyperspectral remote airborne sensing. // Optika Atmosfery i Okeana. 2016. V. 29. No. 07. P. 533-540 [in Russian].
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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.

Keywords:

remote sensing, optical imagery processing, pattern recognition of forest vegetation, parameters retrieval, direct and inverse problems

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