计算机工程与应用 ›› 2010, Vol. 46 ›› Issue (21): 168-170.DOI: 10.3778/j.issn.1002-8331.2010.21.048

• 图形、图像、模式识别 • 上一篇    下一篇

水体遥感影像处理的研究

徐鲁强1,2,刘静霞3,秦 军2,朱 军2   

  1. 1.西南科技大学 计算机学院,四川 绵阳 621010
    2.西南交通大学,成都 610031
    3.成都电子机械高等专科学校,成都 610031
  • 收稿日期:2010-03-12 修回日期:2010-05-17 出版日期:2010-07-21 发布日期:2010-07-21
  • 通讯作者: 徐鲁强

Study of water system remote sensing image

XU Lu-qiang1,2,LIU Jing-xia3,QIN Jun2,ZHU Jun2   

  1. 1.Computer School,Southwest University of Science and Technology,Mianyang,Sichuan 621010,China
    2.Southwest Jiaotong University,Chengdu 610031,China
    3.Chengdu Electromechanical College,Chengdu 610031,China
  • Received:2010-03-12 Revised:2010-05-17 Online:2010-07-21 Published:2010-07-21
  • Contact: XU Lu-qiang

摘要: 研究了遥感图片的水体类型解译识别问题。水体图形的准确提取是遥感图片解译识别的关键问题。综合应用敏感因子组合法、种子点增长法和数学形态学的方法提取水体,在对提取的水体图像分析基础上,进一步确定了特征向量和采用模糊识别理论进行识别,并对识别结果进行了分析,实验结果显示提取的水体获得较满意的识别效果。

关键词: 图像解译, 敏感因子组合法, 种子点增长法, 水体类型

Abstract: A fuzzy classification scheme for river channel image interpretation is proposed.Accurate extraction of river channel is very important for river channel image interpretation of pattern classification.Application-sensitive factor combination method,region growing and mathematical morphology are integrated to extract river channel.The feature vector is determined and the selected feature vector is calculated.Fuzzy recognition theory is used to identify the pattern of river channel.Experiments show satisfaction with the results of river channel image interpretation of pattern classification.

Key words: image interpretation, sensitive factor combination method, seeds growing, water system pattern

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