gyroscopyГироскопия и навигацияGiroskopiya i Navigatsiya0869-70352075-0927AO «Концерн «ЦНИИ «Электроприбор»gyroscopy-508Research ArticleСтатьиЛокализация зданий по их инфракрасным портретам для наведения беспилотных летательных аппаратовЦиньЮэмин

Юэмин Цинь, аспирант. 

ЦаоЧжиго

Чжиго Цао, профессор. 

ЛиХаньсун

Ханьсун Ли, аспирант. 

ВанСяоцзин

Сяоцзин Ван, аспирант. 

ЧжоВэнь

Вэнь Чжо, аспирант. 

Национальная научно-техническая лаборатория по многоспектральной обработке информации. Школа автоматизации, Научно-технологический университет Хуачжун (Вухан)China2013020320262135971Copyright © Цинь Ю., Цао Ч., Ли Х., Ван С., Чжо В., 20262026Цинь Ю., Цао Ч., Ли Х., Ван С., Чжо В.Цинь Ю., Цао Ч., Ли Х., Ван С., Чжо В.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://www.gyroscopy.ru/jour/article/view/508

Предлагается новый метод локализации зданий по информации от инфракрасной (ИК) системы переднего обзора в сложных условиях наблюдения, предназначенный для наведения беспилотных летательных аппаратов. В предложенном методе активно используется информация о месте действия, что позволяет определять координаты даже небольших или затененных зданий. Результаты экспериментов показывают, что метод обеспечивает точную локализацию зданий по их радиолокационным изображениям в сложных условиях использования ИК-системы.

This paper proposes a new approach to localizing a designated building from for-ward-looking infrared images under complex scenes, which can be used in UAV guidance. The proposed approach makes full use of the scene information to localize buildings. Therefore, the proposed approach can localize small or occluded buildings under complex scenes. The experiment results show that the proposed approach can precisely localize the designated building from forward-looking infrared images under complex scenes.

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The authors declare that there are no conflicts of interest present.