MATEC Web Conf.
Volume 99, 20172016 Workshop on Contemporary Materials and Technologies in the Aviation Industry (CMTAI2016)
|Number of page(s)||6|
|Section||Guidance, Navigation and Control|
|Published online||08 February 2017|
Algorithms of the Objects’ Identification According to Hyperspectral Shooting of the „Resource-P“ Spacecraft
1 Ryazan State Radio Engineering University, 390005 Ryazan, Russia
2 Moscow Technological Institute, 119334 Moscow, Russia
3 Branch of JSC „SRC „Progress” – Special Design Bureau „Spectr”, 390005 Ryazan, Russia
* Corresponding author: firstname.lastname@example.org
The identification algorithms, which carry out the objects’ identification of the Earth’s surface by means of their hyperspectral features’ analysis, received on the base of the processed space images from the „Resource-P” spacecrafts with application of the similarity measures, have been considered. The identification algorithms on the base of the Euclidean distance similarity measure, the angular similarity measure and the fuzzy similarity measure have been applied. The use expediency of the fuzzy linear regression in the algorithm of objects’ hyperspectral features’ identification has been shown. The results of the hyperspectral information processing with using of the offered algorithms have been presented.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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