Journal
INFRARED PHYSICS & TECHNOLOGY
Volume 76, Issue -, Pages 185-199Publisher
ELSEVIER
DOI: 10.1016/j.infrared.2016.01.016
Keywords
Maritime background; Small targets; Sea-sky horizon line; Wavelet decomposition; Standard deviation; Mutual wavelet energy combination
Categories
Funding
- Natural Science Foundation of Jiangsu Province [BK20130767]
- Research and Innovation Plan for Graduate Students of Jiangsu Higher Education Institutions [KYLX15_0370]
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It is usually difficult but important to extract distant targets from sea clutters and clouds since the targets are small compared to the pixel field of view. In this paper, an algorithm based on pavelet transformation is proposed for automatic detection of small targets under the maritime background. We recognize that the distant small targets generally appear near the sea-sky horizon line and noises lie along the direction of sea-sky horizon line. So the sea-sky horizon is located firstly by examining the approximate image of a Haar wavelet decomposition of the original image. And the equation of the sea-sky horizon is set up, no matter whether the sea-sky horizon is horizontal or not. Since the sea-sky horizon is located, not only the potential area but also the strip direction of noise is got. Then the modified mutual wavelet energy combination algorithm is applied to extract targets with targets being marked by red windows. Computer simulations are shown to validate the great adaptability of the sea-sky horizon line detection and the accuracy of the small targets detection. The algorithm should be useful to engineers and scientists to design precise guidance or maritime monitoring system. (C) 2016 Elsevier B.V. All rights reserved.
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