Issues of optimizing the application of the empirical linearization method for vicarious calibration of uav radiometric equipment
Аuthors
National Aerospace Agency of Azerbaijan Republic, NASA, 1, Suleyman Sani Akhundov str., Baku, AZ1115, Azerbaijan Republic
e-mail: amidec.b@mail.ru
Abstract
Currently, the empirical linearization method is widely applied to process images obtained from the UAVs, in particular to obtain data on reflection coefficients from optical radiation data. The gist of this method consists in placing calibration panels on special polygons and obtaining on this basis linear ratios between the DN (i.e. primary digital readings) and reflection coefficients, provided that data on the reflective characteristics of these panels are available. To ensure the best approximation of the linear dependence, a pair of such panels is employed: one is light, and the other is dark. The author regarded the possibility of applying a two-panel empirical linearization method in relation to a multispectrometer with a sufficiently large number of spectral channels. The gist of the two-point (two-panel) method consists in converting digital samples into an indicator (coefficient) of reflection. This method realization involves the following operations: (1) Digital counts normalizing according to the following formula. (2) Converting the DCnorm of each pixel into the reflection coefficient of the object. The author proposed an adaptive mode of a multispectrometer operation, in which the exposure time of a fixed pixel on the spectral channel used depends on some technological indicator bi/gi, as well as determines the value of the DNraw. A liquid crystal converter herewith is installed at the input of the multispectrometer, forming sequentially harmonics of the input signal with a controlled exposure time at the output. The process of sequential formation of narrow-band reflection coefficients of the studied objects is optimized during calibration of a multispectrometer calibrated by the two (light and dark) calibration panels. An optimization problem has been solved in relation to a multispectrometer with sequential digitization and formation of spectral channels based on a liquid crystal converter, which essence consists in reaching the computed spectrum-averaged value of the reflection coefficient of the maximum value.
Keywords:
UAV, empirical linearization method, liquid crystal converter, radiometric measurements, calibrationReferences
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