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| 科研成果 |
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| 论文题目： |
Infrared small target detection based on directional zero-crossing measure |
| 第一作者： |
Zhang XY(张祥越);Ding QH(丁庆海);Luo HB(罗海波);Hui B(惠斌);Chang Z(常铮);Zhang JC(张俊超) |
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| 发表刊物： |
Infrared Physics and Technology |
| 发表年度： |
2017 |
| 卷,期,页： |
87,,113-123 |
| 论文出处： |
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| 论文摘要： |
Infrared small target detection under complex background and low signal-to-clutter ratio (SCR) condition is of great significance to the development on precision guidance and infrared surveillance. In order to detect targets precisely and extract targets from intricate clutters effectively, a detection method based on zero-crossing saliency (ZCS) map is proposed. The original map is first decomposed into different first-order directional derivative (FODD) maps by using FODD filters. Then the ZCS map is obtained by fusing all directional zero-crossing points. At last, an adaptive threshold is adopted to segment targets from the ZCS map. Experimental results on a series of images show that our method is effective and robust for detection under complex backgrounds. Moreover, compared with other five state-of-the-art methods, our method achieves better performance in terms of detection rate, SCR gain and background suppression factor. |
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