一种改进的ACM算法及其在鄱阳湖水域监测中的应用

发布时间：2018-01-22 17:20

本文关键词： 合成孔径雷达鄱阳湖局部窄带水域提取　出处：《电子与信息学报》2017年05期 　论文类型：期刊论文

【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。
[Abstract]:Sentinel-1 SAR (synthetic Aperture Radar) satellite has the advantages of wide mapping bandwidth, short re-visit period and high resolution. In 2016, the flood disaster was serious in the middle and lower reaches of the Yangtze River. Poyang Lake is one of the most important regulating lakes in the main stream of the Yangtze River. It is very important to extract and detect the changes of Poyang Lake based on SAR image. However, it is affected by speckle noise, especially in Poyang Lake. In the case of weak edges and fuzzy edges, the traditional water segmentation methods have poor edge retention and low accuracy. In view of the above problems, this paper proposes a local narrow band based ACM edge detection algorithm. The algorithm is applied to the temporal observation images of Poyang Lake area obtained by Sentinel-1A. Firstly, the two-level Otsu method is used to obtain the initial contour. A local narrow band is then established near the initial profile. Finally, a region-based ACM method is used to solve the problem of weak edge or fuzzy edge in narrow band. The experimental results show that the method has obvious advantages in edge preservation and segmentation accuracy. And the calculation time is reduced.
【作者单位】：中科院电子学研究所;中国科学院大学;
【基金】：国家自然科学基金优秀青年基金(61422113)~~
【分类号】：TN957.52
【正文快照】： (2)(中国科学院大学北京100190)鄱阳湖是中国最大的淡水湖,它在蓄洪、淡水供给、内陆河运输等方面具有重要意义[1]。近年来,工业化和城市化的快速发展导致了包括鄱阳湖在内的中国内陆湖湖水水质恶化和水域面积萎缩[2]。研究表明,鄱阳湖淹没面积变化的影响因素主要包括沙土采挖

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