METHOD FOR CLASSIFICATION OF OBJECTS OPTOELECTRONIC EXPLORATION SYSTEMS BASED MULTISPECTRAL CUBOID IMAGES
Igor Nikolaevich Ischuk, Evgeniy Aleksandrovich Stepanov, Dmitry Dmitrievich Dmitriev, Andrey Mihaylovich Filimonov, Andrey Aleksandrovich Bebenin
Abstract
The article deals with the classification of objects opto-electronic intelligence systems on the basis of processing of multispectral images cuboid, technology generation and processing cuboid multispectral images of man-made objects in the course of daily observations. A general statement of the problem according to the classification of dynamic images in the infrared and visible wavelength ranges. The results of the implementation of the method of classification in the field experiment.