首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于数学形态学的遥感影像边缘检测研究
引用本文:张莉,贾永红,程刚.基于数学形态学的遥感影像边缘检测研究[J].地理空间信息,2006,4(4):52-54.
作者姓名:张莉  贾永红  程刚
作者单位:1. 湖北省基础地理信息中心,湖北,武汉,430071
2. 武汉大学,遥感信息工程学院,湖北,武汉,430079
3. 深圳市凯立德计算机系统技术有限公司,深圳,518040
摘    要:针对含有复杂地物、边缘密度大的遥感影像,提出了一种基于多结构元素形态学的边缘检测方法。首先,根据遥感影像的特点,用形态学的开闭滤波器去除影像中的噪声点。然后基于多结构元素形态学进行边缘检测,最后,对边缘检测结果进行二值化及细化处理。并同Sobel及Canny算子的检测结果进行了比较。结果证明,该方法能有效地提取边缘、保护细节。

关 键 词:数学形态学  结构元素  遥感影像  边缘检测
文章编号:1672-4623(2006)04-0052-03
收稿时间:2005-08-22
修稿时间:2005年8月22日

Edge Detection Algorithm for Remote Sensing Image Based on Mathematical Morphology
ZHANG Li,JIA Yonghong,CHENG Gang.Edge Detection Algorithm for Remote Sensing Image Based on Mathematical Morphology[J].Geospatial Information,2006,4(4):52-54.
Authors:ZHANG Li  JIA Yonghong  CHENG Gang
Institution:1. Provincial Geomatics Center of Hubei, Wuhan 430071, China; 2.School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China; 3.Shenzhen Careland InfoTech Co., Ltd., Shenzhen 518040, China
Abstract:Based on the character of remote sensing image, which has complex terrain and objects and abundant edge, a new morphology edge detection algorithm is proposed. Firstly, according to the characteristic of the remote sensing image, we remove the noise by using open-closing morphology filter; then use morphology edge detection algorithm to detect the edge; finally, we change the results into binary image and thinning it. The algorithm, Sobel algorithm and Canny algorithm are applied in remote sensing image, and their results are compared. The conclusion proved the new morphology edge detection algorithm can well remove the noise under the condition of preserving details of the remote sensing image.
Keywords:mathematical morphology  structure elements  remote sensing image  edge detection
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号