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一种改进的ACM算法及其在鄱阳湖水域监测中的应用

冷英 刘忠玲 张衡 王宇 李宁

冷英, 刘忠玲, 张衡, 王宇, 李宁. 一种改进的ACM算法及其在鄱阳湖水域监测中的应用[J]. 电子与信息学报, 2017, 39(5): 1064-1070. doi: 10.11999/JEIT160870
引用本文: 冷英, 刘忠玲, 张衡, 王宇, 李宁. 一种改进的ACM算法及其在鄱阳湖水域监测中的应用[J]. 电子与信息学报, 2017, 39(5): 1064-1070. doi: 10.11999/JEIT160870
LENG Ying, LIU Zhongling, ZHANG Heng, WANG Yu, LI Ning. Improved ACM Algorithm for Poyang Lake Monitoring[J]. Journal of Electronics & Information Technology, 2017, 39(5): 1064-1070. doi: 10.11999/JEIT160870
Citation: LENG Ying, LIU Zhongling, ZHANG Heng, WANG Yu, LI Ning. Improved ACM Algorithm for Poyang Lake Monitoring[J]. Journal of Electronics & Information Technology, 2017, 39(5): 1064-1070. doi: 10.11999/JEIT160870

一种改进的ACM算法及其在鄱阳湖水域监测中的应用

doi: 10.11999/JEIT160870
基金项目: 

国家自然科学基金优秀青年基金(61422113)

Improved ACM Algorithm for Poyang Lake Monitoring

Funds: 

The National Natural Science Fund of China for Excellent Young Scholars (61422113)

  • 摘要: Sentinel-1合成孔径雷达(SAR)卫星具有测绘带宽、重访周期短、分辨率高等优点,为长时间的水域监测提供数据基础。2016年长江中下游地区洪涝灾害严重,鄱阳湖是长江干流的重要调蓄性湖泊之一,基于SAR图像的鄱阳湖水域提取及其变化检测具有重要意义。然而受相干斑噪声的影响,尤其是在鄱阳湖分布较广、地物背景较复杂、弱边缘和模糊边缘较多的情况下,传统的水域分割方法边缘保持性较差、提取精度较低。针对上述问题,该文提出一种基于局部窄带的ACM边缘提取算法,并将其应用于Sentinel-1A获取的鄱阳湖水域时序观测图像中。该算法首先采用两级Otsu方法获取初始轮廓,随后在初始轮廓附近建立局部窄带,最后在窄带内采用基于区域的ACM方法进行轮廓线演化来解决弱边缘或模糊边缘问题。实验结果表明该方法在边缘保持和分割精度上具有明显优势,并且降低了计算时间。
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出版历程
  • 收稿日期:  2016-08-24
  • 修回日期:  2017-01-20
  • 刊出日期:  2017-05-19

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