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IR and SAR Sensor Fusion based Target Detection using BMVT-M
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 Title & Authors
IR and SAR Sensor Fusion based Target Detection using BMVT-M
Lim, Yunji; Kim, Taehun; Kim, Sungho; Song, WooJin; Kim, Kyung-Tae; Kim, Sohyeon;
 
 Abstract
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.
 Keywords
target detection;sensor fusion;IR;SAR;boolean map visual theory;OKTAL-SE;
 Language
Korean
 Cited by
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