Ship Detection in Infrared Remote Sensing Images Based on Spectral Residual Transform

Zhang Zhi-long; Yang Wei-ping; Zhang Yan; Li Ji-cheng

doi:10.11999/JEIT141659

Volume 37 Issue 9

Sep. 2015

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Article Navigation > Journal of Electronics & Information Technology > 2015 > 37(9): 2144-2150

Zhang Zhi-long, Yang Wei-ping, Zhang Yan, Li Ji-cheng. Ship Detection in Infrared Remote Sensing Images Based on Spectral Residual Transform[J]. Journal of Electronics & Information Technology, 2015, 37(9): 2144-2150. doi: 10.11999/JEIT141659

Citation:

Zhang Zhi-long, Yang Wei-ping, Zhang Yan, Li Ji-cheng. Ship Detection in Infrared Remote Sensing Images Based on Spectral Residual Transform[J]. Journal of Electronics & Information Technology, 2015, 37(9): 2144-2150. doi: 10.11999/JEIT141659

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Ship Detection in Infrared Remote Sensing Images Based on Spectral Residual Transform

doi: 10.11999/JEIT141659

Received Date: 2014-12-16
Rev Recd Date: 2015-05-18
Publish Date: 2015-09-19

Abstract

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.
- Infrared remote sensing images,
- Ship target detection,
- Signal Clatter Ratio (SCR),
- Visual saliency,
- Spectral residual model

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References(21)

References

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