基于改进的SLIC和OTSU的遥感影像水体提取
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  • 英文篇名:Water Information Extraction from Remote Sensing Imagery Based on Improved SLIC and OTSU
  • 作者:龚林松 ; 李士进
  • 英文作者:GONG Lin-song;LI Shi-jin;School of Computer and Information,Hohai University;
  • 关键词:遥感图像 ; 水体提取 ; SLIC ; 归一化差异水体指数 ; OTSU
  • 英文关键词:remote sensing image;;water body extraction;;SLIC;;normalized difference water index;;OTSU
  • 中文刊名:WJFZ
  • 英文刊名:Computer Technology and Development
  • 机构:河海大学计算机与信息学院;
  • 出版日期:2018-11-15 10:58
  • 出版单位:计算机技术与发展
  • 年:2019
  • 期:v.29;No.261
  • 基金:江苏省重点研发计划(社会发展)项目(BE2015707)
  • 语种:中文;
  • 页:WJFZ201901030
  • 页数:5
  • CN:01
  • ISSN:61-1450/TP
  • 分类号:151-155
摘要
水体信息提取是水资源管理的重要组成部分,近二十年来关于从遥感图像中提取水体信息的研究有许多。基于卫星遥感的陆地水体提取方法多种多样,利用水体指数的OTSU算法就是一种较为常见的水体提取方法,但是其存在阈值选取困难和提取精度不足的问题。为了进一步解决该问题,将改进的SLIC和OTSU算法引入到水体信息的提取中。考虑到水体指数对于水体信息提取的重要性,首先利用超像素生成算法SLIC结合归一化水体指数(NDWI)生成一个个超像素,以超像素内水体指数值的均值代表这个超像素的水体指数。然后以超像素为基础,使用OTSU算法对超像素水体指数做阈值分割。实验结果表明,提出的算法不仅有很高的提取精度,提取的速度也很快,能够有效地提取出水体信息。
        Water information extraction is an important part of water resources management. There have been many researches on water information extraction from remote sensing images in the past two decades. There are a variety of land-based water extraction methods based on satellite remote sensing. OTSU algorithm using water index is a relatively common one,but it is difficult to select the threshold and the extraction accuracy is insufficient. For this,we introduce the improved SLIC and OTSU algorithm into water information extraction.Considering the importance of water index for water information extraction,we combine SLIC,a super-pixel generation algorithm,and NDWI,the normalized water index,to generate each super-pixel,and the mean value of water index within the super-pixel represents the water index of this super-pixel. Then based on super-pixel,OTSU algorithm is used to conduct the threshold segmentation of the water index in the super-pixel. Experiment shows that the proposed algorithm not only has a high extraction accuracy,but also a fast extraction speed,which can effectively extract water information.
引文
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