| 题名: | Dim Target Detection Based on Image Features Analysis in Generalized S-transform Domain |
| 作者: | Jie Zhang; Zhenming Peng; Qiheng Zhang; Xiaoping Qi
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| 出版日期: | 2010
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| 会议名称: | Proceedings of the 2010 International Conference on Intelligent Computation Technology and Automation (ICICTA 2010)
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| 会议日期: | 2010
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| 通讯作者: | Jie Zhang
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| 中文摘要: | A novel method for dim target detection based on generalized S transform (GST) of image signal is first proposed in this paper. The energy feature of high frequency components in horizontal and vertical direction can be obtained in the GST domain. Then the energy feature images are classified by an adaptive threshold separately. After the logical And-Operation of the classified images, the detection of dim target in low signal-noise-ratio (SNR) images can be realized. The simulation results show that the proposed method can detect dim targets in low SNR images effectively with reduced computation of GST and better detection performance compared with conventional method. |
| 英文摘要: | A novel method for dim target detection based on generalized S transform (GST) of image signal is first proposed in this paper. The energy feature of high frequency components in horizontal and vertical direction can be obtained in the GST domain. Then the energy feature images are classified by an adaptive threshold separately. After the logical And-Operation of the classified images, the detection of dim target in low signal-noise-ratio (SNR) images can be realized. The simulation results show that the proposed method can detect dim targets in low SNR images effectively with reduced computation of GST and better detection performance compared with conventional method. |
| 语种: | 英语
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| 文章类型: | 会议论文
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| 内容类型: | 会议论文
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| URI标识: | http://ir.ioe.ac.cn/handle/181551/7684
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| Appears in Collections: | 光电探测与信号处理研究室（五室）_会议论文
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| Recommended Citation: | |
Jie Zhang,Zhenming Peng,Qiheng Zhang,et al. Dim Target Detection Based on Image Features Analysis in Generalized S-transform Domain[C]. 见:Proceedings of the 2010 International Conference on Intelligent Computation Technology and Automation (ICICTA 2010). 2010.
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