[1]龚林松,李士进.基于改进的SLIC和OTSU的遥感影像水体提取[J].计算机技术与发展,2019,29(01):145-149.[doi:10. 3969 / j. issn. 1673-629X. 2019. 01. 030]
　GONG Lin-song,LI Shi-jin.Water Information Extraction from Remote Sensing Imagery Based onImproved SLIC and OTSU[J].,2019,29(01):145-149.[doi:10. 3969 / j. issn. 1673-629X. 2019. 01. 030]
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基于改进的SLIC和OTSU的遥感影像水体提取()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
29
期数:
2019年01期
页码:
145-149
栏目:
应用开发研究
出版日期:
2019-01-10

文章信息/Info

Title:
Water Information Extraction from Remote Sensing Imagery Based onImproved SLIC and OTSU
文章编号:
1673-629X(2019)01-0145-05
作者:
龚林松;  李士进
河海大学 计算机与信息学院,江苏 南京,210098
Author(s):
GONG Lin-song; LI Shi-jin
School of Computer and Information,Hohai University,Nanjing 210098,China
关键词:
遥感图像;  水体提取;  SLIC;  归一化差异水体指数;  OTSU
Keywords:
remote sensing image; water body extraction; SLIC; normalized difference water index; OTSU
分类号:
TP753
DOI:
10. 3969 / j. issn. 1673-629X. 2019. 01. 030
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.
Abstract:
Water information extraction is an important part of water resources management. There have been many researches on waterinformation extraction from remote sensing images in the past two decades. There are a variety of land-based water extraction methodsbased on satellite remote sensing. OTSU algorithm using water index is a relatively common one,but it is difficult to select the thresholdand the extraction accuracy is insufficient. For this,we introduce the improved SLIC and OTSU algorithm into water information extrac-tion. 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 representsthe water index of this super-pixel. Then based on super-pixel,OTSU algorithm is used to conduct the threshold segmentation of the wa-ter index in the super-pixel. Experiment shows that the proposed algorithm not only has a high extraction accuracy,but also a fast extrac-tion speed,which can effectively extract water information.

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更新日期/Last Update: 2019-01-10