IOE OpenIR  > 光电探测与信号处理研究室(五室)
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
AbstractA 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 NameProceedings of the 2010 International Conference on Intelligent Computation Technology and Automation (ICICTA 2010)
Conference Date2010
Document Type会议论文
Identifierhttp://ir.ioe.ac.cn/handle/181551/7684
Collection光电探测与信号处理研究室(五室)
Corresponding AuthorJie 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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