engleski

The Impact of Position and Attitude Offset Calibration on the Geocoding Accuracy of Hyperspectral Line Scanner ImSpector V9

Hyperspectral images are defined as being recorded simultaneously in many, narrow, contiguous bands to provide information on the major features of the spectral reflectance of a given object. The images can be visualized as a 3­dimensional data set with two spatial and one spectral dimension and the data set is therefore often referred to as an image cube. Originally, raw hyperspectral data are combined together in an image cube with spatial, temporal and spectral dimension, after the imaging characteristic of the hyperspectral sensor (mostly push­broom scanner), and they have to be transformed to geocoded hyperspectral cube for all further spatial analysis of hy hyperspectral data. There are several methods to transform raw hyperspectral data (raw cube) into geocoded one. Because of imaging geometry of the hyperspectral sensor (the push­broom scanner), only the parametric geocoding methods can be applied directly. The ability of presented algorithm will be shown on test data gathered by airborne multisensor platform. The spatial accuracy of the geocoded cube will be verified on test­field.

hyperspectral scanning, parametric geocoding

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