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Proceedings Paper

BMVT-M based IR and SAR ground target detection
Author(s): Yun-Ji Lim; Sungho Kim; Yeongrae Jo; Woo-Jin Song; Sohyeon Kim
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Paper Abstract

IR Target detection is one of the key technologies in military applications. However, IR sensor has limitations of passive sensor such as low detection capability to weather and atmospheric effects. In recent years, sensor fusion is active research topic to overcome the limitations. Additional active SAR sensor is selected for sensor fusion because SAR sensor is robust to various weather conditions. The state-of-the-art detector, BMVT, has good performance in clear environment such as sky and sea background for small target. However, it shows poor performance when the target has extended size or the target is located in complex background such as ground-background with dense clutters. Therefore, we presents an improved ground target detection method based on the BMVT and Morphology filter (BMVT-M). The proposed algorithm consists of two parts: The first part is target enhancement based on the BMVT. The second part is clutter rejection and target enhancement based on the Morphology filter. In addition, conventional BMVT is not suitable to SAR image for target detection because SAR image has many shot noises. Therefore we apply a median filter before the BMVT in SAR image to suppress the shot noise. For the verification of the performance, experiments are performed in various cluttered backgrounds, such as ground, sea, and sky generated by the OKTAL-SE tool. The proposed algorithm showed upgraded detection performance than the BMVT in terms of detection rate and false alarm rate. Moreover, we discuss the applicability of the proposed method to the SAR and IR sensor fusion research.

Paper Details

Date Published: 22 May 2015
PDF: 12 pages
Proc. SPIE 9476, Automatic Target Recognition XXV, 947617 (22 May 2015); doi: 10.1117/12.2176977
Show Author Affiliations
Yun-Ji Lim, Yeungnam Univ. (Korea, Republic of)
Sungho Kim, Yeungnam Univ. (Korea, Republic of)
Yeongrae Jo, Pohang Univ. of Science and Technology (Korea, Republic of)
Woo-Jin Song, Pohang Univ. of Science and Technology (Korea, Republic of)
Sohyeon Kim, Agency for Defense Development (Korea, Republic of)

Published in SPIE Proceedings Vol. 9476:
Automatic Target Recognition XXV
Firooz A. Sadjadi; Abhijit Mahalanobis, Editor(s)

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