Paper
2 February 2006 An new algorithm of infrared moving small targets recognition
Author Affiliations +
Proceedings Volume 6031, ICO20: Remote Sensing and Infrared Devices and Systems; 603115 (2006) https://doi.org/10.1117/12.668044
Event: ICO20:Optical Devices and Instruments, 2005, Changchun, China
Abstract
Detection and recognition of the dim moving small targets in the infrared image sequences containing cloud clutter is an important research area, especially for Infrared Search and Track surveillance applications. In the paper, the author propose a new algorithm having high performance for detecting moving small targets in infrared image sequences containing cloud clutter. The novelty of the algorithm is that it fuses the features of the moving small targets in both the spatial domain and temporal domain. Two independent units can realize the calculative process. Another advantage of the method is that it can get the better detection precision than some other methods. We also present the algorithm based on image fusion and Kalman tracking that can track a number of very small, low constant objects through an image sequence taken from a static camera.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Haihui Wang "An new algorithm of infrared moving small targets recognition", Proc. SPIE 6031, ICO20: Remote Sensing and Infrared Devices and Systems, 603115 (2 February 2006); https://doi.org/10.1117/12.668044
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KEYWORDS
Image fusion

Image filtering

Image segmentation

Target detection

Detection and tracking algorithms

Image processing

Signal to noise ratio

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