Moskovskiy fiziko-tehnicheskiy institut (gosudarstvennyy universitet)
Moskovskiy Gosudarstvennyy Tehnicheskiy Universitet Imeni N. E. Baumana
GRNTI 50.07 Теоретические основы вычислительной техники
BBK 3297 Вычислительная техника
Long range infrared cameras may provide increasing crew situational awareness in limited vision and night conditions. Similar cameras are installed in modern civil aircrafts as part of an improved vision system. Correct thermal image interpritation by the crew requires certain expiriance, due to the fact that view of the scene very different from the visible range and may change within time of day and season. This paper discusses the deep generative-adversary neural network to automatically convert thermal images to semantically similar color images of the visible range.
visualization, deep convolutional neural networks, pilot primary display, visual analytics
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