Dim Target Detection Based on Image Features Analysis in Generalized S-transform Domain | |
Jie Zhang; Zhenming Peng; Qiheng Zhang; Xiaoping Qi | |
2010 | |
Language | 英语 |
Subtype | 会议论文 |
Abstract | 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.; 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. |
Conference Name | Proceedings of the 2010 International Conference on Intelligent Computation Technology and Automation (ICICTA 2010) |
Conference Date | 2010 |
Document Type | 会议论文 |
Identifier | http://ir.ioe.ac.cn/handle/181551/7684 |
Collection | 光电探测与信号处理研究室(五室) |
Corresponding Author | Jie Zhang |
Affiliation | 中国科学院光电技术研究所 |
Recommended Citation GB/T 7714 | Jie Zhang,Zhenming Peng,Qiheng Zhang,et al. Dim Target Detection Based on Image Features Analysis in Generalized S-transform Domain[C],2010. |
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