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- W2387603027 abstract "In SAR image,the different scattering mechanisms of target,background clutter and target shadow are different,thus resulting in their different statistical characteristics.By analyzing their respective imaging characteristics,different statistical models are developed to describe the three components.Then a multi-mode distribution SAR image segmentation algorithm based on a combination of the three models is proposed.For the target and shadow segmentation,different pre-processing methods are adopted.A fast one-dimensional Otsu algorithm is proposed to segment target from background clutter;and a SAR image enhancement algorithm based on the background mean-preserving shock filter is proposed to segment shadow from background clutter.Experimental results show that,compared with traditional segmentation algorithms based on the single-mode distributions,this multi-mode distribution segmentation algorithm can make better use of the statistical characteristic differences of the three components,thus obtaining higher segmentation accuracy and better practicability." @default.
- W2387603027 created "2016-06-24" @default.
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- W2387603027 date "2011-01-01" @default.
- W2387603027 modified "2023-10-12" @default.
- W2387603027 title "A SAR Image Segmentation Algorithm Based on Multi-Mode Distribution" @default.
- W2387603027 hasPublicationYear "2011" @default.
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