Long-range target detection algorithms in sea and sky clutter background based on fractal theory

Junjie Zheng; Xiaoke Yan; Caicheng Shi

doi:10.1117/12.716697

24 October 2006 Long-range target detection algorithms in sea and sky clutter background based on fractal theory

Junjie Zheng, Xiaoke Yan, Caicheng Shi

Proceedings Volume 6357, Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence; 63570B (2006) https://doi.org/10.1117/12.716697
Event: Sixth International Symposium on Instrumentation and Control Technology, 2006, Beijing, China

Abstract

A novel algorithm for the detection of long-range weak targets in a sea and air scenario is proposed. A preprocessing model of weak targets in sea and sky clutter background is established based on fractal theory, which is accordant to the concept that singular local fractal dimension (LFD) will be determined at edges. The model is evaluated by comparing row-mean subtraction filter based on fractal dimension preprocessing with conventional operators such as, high pass filter and row-mean subtraction filter. Results show a similar performance in a low-noise environment and superiority of the fractal operators in a high noise and long range dim targets, the algorithms are effectively for suppression sea and sky clutter and are easy to be implemented by parallel processing hardware.

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Junjie Zheng, Xiaoke Yan, and Caicheng Shi "Long-range target detection algorithms in sea and sky clutter background based on fractal theory", Proc. SPIE 6357, Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence, 63570B (24 October 2006); https://doi.org/10.1117/12.716697

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KEYWORDS

Fractal analysis

Detection and tracking algorithms

Linear filtering

Target detection

Image filtering

Image processing

Infrared imaging

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