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25 September 2003 Detection method for dim small IR targets based on wavelet and higher-order cumulant
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Proceedings Volume 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition; (2003) https://doi.org/10.1117/12.539886
Event: Third International Symposium on Multispectral Image Processing and Pattern Recognition, 2003, Beijing, China
Abstract
Detection of low observable small targets from a sequence of InfraRed (IR) images is an important research area for image processing applications, but the difficulties in detecting small targets arise from the fact that they are not easily discernable from the background clutter. In this paper, the author presents a detection method based on Wavelet and Higher-Order Cumulant Filter (WHOCF). Firstly, the proposed method suppresses the background clutter with wavelet filter, then uses a Cumulant-Based Adaptive Filter (CBAF) in the further processing of the wavelet sub-band, which can suppress noise and preserve the candidate targets information effectively, and improve the Signal to Noise Ratio (SNR) greatly. Finally, a sequence images processing method is used before detection to enhance the performance of the detector. The experimental results with real world image sequences illustrate the effectiveness of the proposed method.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xin-zhu Su, Hongbing Ji, and Xinbo Gao "Detection method for dim small IR targets based on wavelet and higher-order cumulant", Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); https://doi.org/10.1117/12.539886
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