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- W2349303077 abstract "In this paper,the problem of ship detection in remote sensing images with complex sea surface background is discussed.Traditional segmentation approaches have much difficulty in separating targets from complex sea surface background.To overcome the deficiency,the Itti visual saliency model is introduced and improved by a global saliency measurement,and an automatic approach based on saliency map is proposed for ship detection in remote sensing images with complex sea surface background.The results of different experiments indicate that this approach is robust and effective.Comparing with a traditional approach based on threshold segmentation,the correct ratio of this approach is increased and the missed alarms ratio is reduced." @default.
- W2349303077 created "2016-06-24" @default.
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- W2349303077 date "2008-01-01" @default.
- W2349303077 modified "2023-09-28" @default.
- W2349303077 title "Ship Detection in Remote Sensing Images with Complex Sea Surface Background" @default.
- W2349303077 hasPublicationYear "2008" @default.
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