测绘学报 ›› 2016, Vol. 45 ›› Issue (9): 1104-1114.doi: 10.11947/j.AGCS.2016.20160037

• 摄影测量学与遥感 • 上一篇    下一篇

四叉树与多种活动轮廓模型相结合的遥感影像水边线提取方法

喻金桃1, 郭海涛1, 李传广2, 卢俊1, 姜春雪1   

  1. 1. 信息工程大学地理空间信息学院, 河南 郑州 450052;
    2. 航天泰坦科技股份有限公司, 北京 100070
  • 收稿日期:2016-01-29 修回日期:2016-07-25 出版日期:2016-09-20 发布日期:2016-09-29
  • 作者简介:喻金桃(1992-),男,硕士生,研究方向为数字摄影测量、遥感图像处理.E-mail:289386886@qq.com
  • 基金资助:
    国家自然科学基金(41101396;41001262);地理信息工程国家重点实验室开放研究基金(SKLGIE2015-M-3-3)

A Waterline Extraction Method from Remote Sensing Image Based on Quad-tree and Multiple Active Contour Model

YU Jintao1, GUO Haitao1, LI Chuanguang2, LU Jun1, JIANG Chunxue1   

  1. 1. Institute of Surveying and Mapping, Information Engineering University, Zhengzhou 450052, China;
    2. Aerospace TITAN Technology Co., LTD, Beijing 100070, China
  • Received:2016-01-29 Revised:2016-07-25 Online:2016-09-20 Published:2016-09-29
  • Supported by:
    The National Natural Science Foundation of China(Nos.41101396;41001262);Funded by State Key Laboratory of Geo-information Engineering(No.SKLGIE2015-M-3-3)

摘要: 通过对测地线活动轮廓(GAC)模型、Chan-Vese(CV)模型、局部二值拟合(LBF)模型的分析,将基于边缘和区域的活动轮廓模型以及基于四叉树的影像分割方法有机结合,提出了一种基于四叉树和多种活动轮廓模型的水边线提取方法。该方法首先对影像进行四叉树分割,为模型演化提供初始轮廓;然后利用CV模型的全局区域图像统计信息和LBF模型的局部区域图像统计信息构造新的符号压力函数,利用改进的符号压力函数代替GAC模型的边界停止函数,有效地改善了GAC模型提前停止演化和过度演化的问题;最后采用二值选择和高斯滤波正则化水平集方法(SBGFRLS)进行演化,避免了重新初始化和规则化,提高了水平集演化的效率。试验结果表明该方法对于包括弱边缘和严重凹陷边缘的水边线提取效果均良好,具有亚像素提取精度,并且提取速度快、稳定性好。

关键词: 四叉树, GAC模型, CV模型, LBF模型, 水边线提取

Abstract: After the characteristics of geodesic active contour model (GAC), Chan-Vese model(CV) and local binary fitting model(LBF) are analyzed, and the active contour model based on regions and edges is combined with image segmentation method based on quad-tree, a waterline extraction method based on quad-tree and multiple active contour model is proposed in this paper. Firstly, the method provides an initial contour according to quad-tree segmentation. Secondly, a new signed pressure force(SPF) function based on global image statistics information of CV model and local image statistics information of LBF model has been defined, and then ,the edge stopping function(ESF) is replaced by the proposed SPF function, which solves the problem such as evolution stopped in advance and excessive evolution. Finally, the selective binary and Gaussian filtering level set method is used to avoid reinitializing and regularization to improve the evolution efficiency. The experimental results show that this method can effectively extract the weak edges and serious concave edges, and owns some properties such as sub-pixel accuracy, high efficiency and reliability for waterline extraction.

Key words: quad-tree, GAC model, CV model, LBF model, waterline extraction

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