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A refined ship segmentation method in SAR imagery

机译:SAR图像中的精致船分段方法

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摘要

Precise segmentation is crucial for the feature extraction and classification of ships in SAR imagery. To alleviate the Doppler shift and the cross ambiguity, this paper propose to segment the ship area from its background based on the radon transform. Assuming that the region of interest (ROI) of ship in SAR imagery has been extracted, the detail procedures of the proposed refined segmentation can be summarized as follows. First, the ship's ROI image is transformed to radon domain, in which pixel intensities are cumulated along different directions. Then, the peak areas are separated to extract the ship's orientation and the main image area of the ship that orthogonal to the principal axis. Finally, the refined segmentation is achieved in the main image area. Experiments, accomplished over measured medium and high resolution SAR ship images, show the effectiveness of the proposed approach.
机译:精确的分割对于特征提取和SAR图像中船舶的分类至关重要。为了缓解多普勒班和交叉模棱两可,本文提出基于氡变换将船舶区域分段。假设已经提取了SAR图像中船舶的感兴趣区域(ROI),所提出的精致分割的细节程序可以概括如下。首先,将船舶的ROI图像转换为氡域,其中像素强度沿不同的方向累积。然后,分离峰面积以提取船的定向和与主轴正交的船的主图像区域。最后,在主图像区域中实现了精制的分割。实验,通过测量的介质和高分辨率SAR船舶图像完成,表明了所提出的方法的有效性。

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