24 October 2016 Increasing the object recognition distance of compact open air on board vision system
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Abstract
The aim of this work was developing an algorithm eliminating the atmospheric distortion and improves image quality. The proposed algorithm is entirely software without using additional hardware photographic equipment. . This algorithm does not required preliminary calibration. It can work equally effectively with the images obtained at a distances from 1 to 500 meters. An algorithm for the open air images improve designed for Raspberry Pi model B on-board vision systems is proposed. The results of experimental examination are given.
Conference Presentation
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sergey Kirillov, Sergey Kirillov, Ivan Kostkin, Ivan Kostkin, Valery Strotov, Valery Strotov, Vladimir Dmitriev, Vladimir Dmitriev, Vadim Berdnikov, Vadim Berdnikov, Eduard Akopov, Eduard Akopov, Aleksey Elyutin, Aleksey Elyutin, } "Increasing the object recognition distance of compact open air on board vision system", Proc. SPIE 10007, High-Performance Computing in Geoscience and Remote Sensing VI, 1000704 (24 October 2016); doi: 10.1117/12.2241961; https://doi.org/10.1117/12.2241961
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