24 September 2001 Approach to artificial target detection based on wavelet transformation and relative depth
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Proceedings Volume 4554, Object Detection, Classification, and Tracking Technologies; (2001) https://doi.org/10.1117/12.441668
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China
Abstract
Through analyzing the different relative depth of a 3D surface between the artificial target and the natural scene, a novel method of target detection based on wavelet transformation and geometric characteristics of 3D surfaces' texture is prosed. The wavelet Holder constant, which denote the relative distance between camera and targets, are calculated in a series of different multi-resolution images, and the targets are detected by calculating the slope of beeline. The target, which cannot be detected using groovy fractal Hurst exponents, can be detected perfectly using this method. The results show this method can improve the capability of anti-disturbance, provide accurate estimation and is also suitable for identifying specific targets in a complex background.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wen-Yu Liu, Wen-Yu Liu, Hua Li, Hua Li, Guang-Xi Zhu, Guang-Xi Zhu, } "Approach to artificial target detection based on wavelet transformation and relative depth", Proc. SPIE 4554, Object Detection, Classification, and Tracking Technologies, (24 September 2001); doi: 10.1117/12.441668; https://doi.org/10.1117/12.441668
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