Abstract
The targets in infrared images are usually dim and small, buried under heavy clutter and noise. Recognition of such targets is a challenging task, especially in detecting in real-time and low false rate. In this paper, we present a new target detection scheme based on accumulated information, and a neural network structure to realize this method is also introduced. Computer simulation was carried out and the satisfactory result showed substantial reduction in computational complexity.
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He, W., Zhang, L. (2007). Dim Target Detection in Infrared Image Sequences Using Accumulated Information. In: Sobh, T., Elleithy, K., Mahmood, A., Karim, M. (eds) Innovative Algorithms and Techniques in Automation, Industrial Electronics and Telecommunications. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-6266-7_89
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DOI: https://doi.org/10.1007/978-1-4020-6266-7_89
Publisher Name: Springer, Dordrecht
Print ISBN: 978-1-4020-6265-0
Online ISBN: 978-1-4020-6266-7
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