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一种利用TM影像自动提取细小水体的方法

杨树文1,薛重生2,刘涛1,李轶鲲1   

  1. 1. 兰州交通大学数理与软件工程学院
    2. 中国地质大学(武汉)地球科学学院
  • 收稿日期:2010-02-08 修回日期:2010-04-06 出版日期:2010-12-22 发布日期:2010-12-22
  • 通讯作者: 杨树文

A Method of small Water Information Automatic Extraction from TM Remote Sensing Images

  1. 1.
    2. Faculty of earth science of Geosciences University of China
  • Received:2010-02-08 Revised:2010-04-06 Online:2010-12-22 Published:2010-12-22

摘要: 提出一种利用TM影像自动提取山区细小水体的多波段谱间关系改进方法。该方法在典型谱间关系法的基础上,针对水体与阴影在蓝绿光波段亮度值降低速率差异较大的特征,基于差值运算,构建了新的多波段谱间关系水体提取模型。首先利用该模型将水体从其他地物及阴影中分离出来,然后基于数学形态学膨胀滤波算法进行空洞填充和短线连接,最后通过图像细化算法实现目标的细化。经过实验比较表明,该方法克服了许多水体提取模型只能有效提取较大面积水体的缺点,除了能够对山区的细小水体进行高精度自动提取外,还能够有效地去除阴影等干扰信息。

Abstract: Small water body extraction of hilly area from TM images is an important and difficult task. For the large differences in the characteristics of brightness value of water body and shadow in blue-green bands and typical model of multi-band spectal relationship, this paper build a new water information ertraction model of multi-band spectal relationship on the basis of the difference operation. Firstly, water bodies are extracted from shadow and other surface features. Secondly, to connect short-terms and fill empty based on mathematical morphology filtering algorithm. Finally, adoption of binary image thinning algorithm, objective water bodies are refined. After experimental analysis and comparison show that the method overcomes the shortcoming of lot of water extraction methods wihich can only effectively extract larger water bodies. The means not only can automaticly and high-precision extract small water of hills and mountains area, but also can effectively remove the shadows and other interference information.