THE METHOD OF INTEGRAL TRANSFORMATION FOR UTILIZATION OF DERIVATIVE SPECTRAL
CHARACTERISTICS IN ANALYSIS OF HYPERSPECTRAL DATA

Asadov Khikmet Gamid ogly, doctor of technical sciences, professor, Research Institute of Aerospace Informatics of National Aerospace Agency (1 S.S. Akhundov street, Baku, Republic of Azerbaijan), asadzade@rambler.ru
Ismailov Kamal Kheyraddin oglu, doctor of technical sciences, associated professor, National Academy of Aviation (25-th km., Bina, Baku, Republic of Azerbaijan), kamal.ismaylov@mail.ru
Djahidzadeh Shana Nizami gizi, doctorant, Research Institute of Aerospace Informatics of National Aerospace Agency (1 S.S. Akhundov street, Baku, Republic of Azerbaijan), zshane@mail.ru

528.72

10.21685/2307-5538-2017-4-8

Background. In analysis of hyperspectral data the question on choice of wavelength interval is usually solved using both the supervised and non-supervised methods of analysis. The entropy and derivative methods are used frequently. The spectral derivatives characterized the form of spectrum and can be used for detection of both the spectral features and details and for removal of noise signals. At whole, the derivative spectral characteristics are less sensitive for changes of illumination of sensed object and can be used for enhancement of absorption parameters of reflection spectrum.
Materials and methods. The information integral criterion is suggested which can be used for analysis of hyperspectral data.
Results. The suggested method of processing of hyperspectral data by help of first derivative make it possible to calculate the optimum spectral characteristic on the basis of given type of function of submission of first derivative signal and vise-versa on criterion of extremum of information content of hyperspectral data corrected by adding the first derivative of spectral characteristic.
Conclusions. The carried out analysis shows presence of possibility for optimization of processing of hyperspectral data using the suggested method of integral transformation.

spectral characteristic, hyperspectral data, integrasl transformation, spectrum