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| Ship Detection in Infrared Remote Sensing Images Based on Spectral Residual Transform |
| Zhang Zhi-long Yang Wei-ping Zhang Yan Li Ji-cheng |
| (ATR Key Laboratory, National University of Defense Technology, Changsha 410073, China) |
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Abstract A ship detection algorithm based on spectral residual transform is presented to detect ship in infrared remote sensing images. Firstly, the model parameters of spectral residual transform are designed according to the prior knowledge of ship and its natural backgrounds. Secondly, the spectral residual transform of sea infrared image is implemented. Thirdly, ship detection is done on the spectral residual transform image. Experimental results reveal that the new detection algorithm can remove large scale image interference and the image noise and improve the SCR of ship image. The detecting probability of the new algorithm is higher than other conventional methods.
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Received: 16 December 2014
Published: 29 June 2015
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Corresponding Authors:
Zhang Zhi-long
E-mail: zhangzhilong13@sina.com
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