| 基于渐进核图割的SAR图像自动分割 |
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| 引用本文： | 曹志民,吕秀丽,吴云,宋鸿梅,赵丽华.基于渐进核图割的SAR图像自动分割[J].光学技术,2016(4):357-360,366. |
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| 作者姓名： | 曹志民 吕秀丽 吴云 宋鸿梅 赵丽华 |
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| 作者单位： | 东北石油大学 电子科学学院,黑龙江 大庆,163318 |
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| 基金项目： | 国家自然科学基金项目(61371180);东北石油大学青年科学基金项目(NEPUQN-2014-07) |
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| 摘 要： | 合成孔径雷达(Synthetic Aperture Radar,SAR)图像是遥感目标检测与分割等研究的重要数据源。提出了一种渐进核图割分割方法,该方法通过迭代进行二类聚类分割,自动实现合成孔径雷达SAR图像中多目标的分割。实验结果表明,该方法能够有效地实现复杂场景SAR图像的多目标分割。
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| 关 键 词： | SAR图像 核图割 图像分割 |
Earthquake fault image segmentation based on progressive kernel graph-cut |
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| CAO Zhimin;LV Xiuli;WU Yun;SONG Hongmei;ZHAO Lihua.Earthquake fault image segmentation based on progressive kernel graph-cut[J].Optical Technique,2016(4):357-360,366. |
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| Authors: | CAO Zhimin;LV Xiuli;WU Yun;SONG Hongmei;ZHAO Lihua |
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| Institution: | CAO Zhimin;LV Xiuli;WU Yun;SONG Hongmei;ZHAO Lihua;School of Electronic Science,North-East Petroleum University; |
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| Abstract: | Synthetic aperture radar(SAR)image is one of the most important data sources for remote sensing obj ect detection or segmentation.A progressive kernel graph-cut based method is proposed.Experimental results illustrate that the proposed method can realize accurate segmentation for SAR image with much interest obj ects with different scales and gray value efficiently. |
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| Keywords: | SAR image kernel graph-cut image segmentation |
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