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BMVT-M을 이용한 IR 및 SAR 융합기반 지상표적 탐지
임윤지(Yunji Lim),김태훈(Taehun Kim),김성호(Sungho Kim),송우진(WooJin Song),김경태(Kyung-Tae Kim),김소현(Sohyeon Kim) 제어로봇시스템학회 2015 제어·로봇·시스템학회 논문지 Vol.21 No.11
Infrared (IR) target detection is one of the key technologies in Automatic Target Detection/Recognition (ATD/R) for military applications. However, IR sensors have limitations due to the weather sensitivity and atmospheric effects. In recent years, sensor information fusion study is an active research topic to overcome these limitations. SAR sensor is adopted to sensor fusion, because SAR is robust to various weather conditions. In this paper, a Boolean Map Visual Theory-Morphology (BMVT-M) method is proposed to detect targets in SAR and IR images. Moreover, we suggest the IR and SAR image registration and decision level fusion algorithm. The experimental results using OKTAL-SE synthetic images validate the feasibility of sensor fusion-based target detection.