Method for classification of objects optoelectronic exploration systems based multispectral cuboid images
Автор: Ischuk Igor N., Stepanov Evgeniy A., Bebenin Andrey A., Dmitriev Dmitry D., Filimonov Andrey M.
Журнал: Журнал Сибирского федерального университета. Серия: Техника и технологии @technologies-sfu
Статья в выпуске: 2 т.10, 2017 года.
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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.
Multispectral imaging, thermal tomography, thermal radiation, thermal contrast, dynamic ir signature, thermal conductivity material, cuboid ir image, hidden objects
Короткий адрес: https://sciup.org/146115189
IDR: 146115189 | DOI: 10.17516/1999-494X-2017-10-2-183-190
