Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2014, Vol. 11, No. 2, pp. 175-184
The method of formation of objects spectral characteristics on the basis of multitemporal data of space hyperspectral remote sensing
1 A.F. Mozhaiskiy Military-Space Academy, Saint-Petersburg, Russia
The article contains a description of the method of processing multitemporal data of hyperspectral remote sensing from space. The method allows to obtain a set of spectral characteristics of underlying surface objects. The method is demonstrated on a number of hyperspectral images of St.-Petersburg area. The article presents the characteristics of the conditions for registration of hyperspectral images. A research problem on the development of automated effective method based on modern software tools is stated. The method uses spatially matching images with high uniformity of registration factors. Description of the method is presented in the form of a diagram showing the main processing procedures. The article highlights the stages of processing dedicated to geometric and atmospheric correction and work with cloud masks. A concept of multitemporal cloud mask is introduced. The mask is the result of combining the individual masks and is used to select investigated objects. Partial results of hyperspectral data processing are presented. They contain a set of spectral characteristics for several object classes of natural and anthropogenic origin. An analysis of the results was performed. For quantitative evaluation of the spectral characteristics proximity, an approach based on calculating the Mahalanobis distance was used. Estimates of the proximity demonstrated the possibility to separate objects with a marked seasonal dynamics from those with stationary time properties.
Keywords: spectral response, multitemporal data, hyperspectral sensing, atmospheric and geometric correction, clouds mask
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