Dim target detection based on image features analysis in generalized S-transform domain
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.
generalized S-Transform time frequency analysis features extraction dim target detection
Jie Zhang Zhenming Peng Qiheng Zhang Xiaoping Qi
School of Opto-Electronic Information University of Electronic Science and Technology of China Cheng The Institute of Optics and Electronics The Chinese Academy of Sciences Chengdu, 610209, China
国际会议
长沙
英文
1292-1295
2010-05-11（万方平台首次上网日期，不代表论文的发表时间）