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- W2349238918 abstract "The effect of the traditional methods such as detection by a threshold or CFAR do not very well in ships detection form large scene and high resolution remote sensing images.To overcome these drawbacks,a method based on ship feature detection is proposed in this paper,which can compute threshold of every potential target with high speed.Besides,a method of feature selection based on RNN algorithm and signal noise ratio is proposed,which can select good features of a target and identify ships from candidate detected targets.A number of experiments demonstrates good performance of the proposed method." @default.
- W2349238918 created "2016-06-24" @default.
- W2349238918 creator A5036815640 @default.
- W2349238918 date "2013-01-01" @default.
- W2349238918 modified "2023-09-23" @default.
- W2349238918 title "A Method of Ships Detection from Optical Remote Sensing Images Based on Feature Detection" @default.
- W2349238918 hasPublicationYear "2013" @default.
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