首页 | 本学科首页   官方微博 | 高级检索  
     

基于TM影像的水体信息提取算法研究
引用本文:毕硕本,钱育君,王启富,郭忆. 基于TM影像的水体信息提取算法研究[J]. 科学技术与工程, 2014, 14(3)
作者姓名:毕硕本  钱育君  王启富  郭忆
作者单位:南京信息工程大学 遥感学院,南京信息工程大学 遥感学院,南京信息工程大学 计算机与软件学院,南京信息工程大学 遥感学院
基金项目:国家自然科学“聚落遗址时空演变规律挖掘研究”(编号:41071253)、国家自然科学“中国明清时期气候灾害时空演变特征挖掘研究”(编号:41271410)。 ,钱育君1,王启富2,郭忆1
摘    要:以郑洛地区为研究区域,利用LandsatTM影像进行波谱再分析,对谱间关系法进行改进,设计了更适合于郑洛地区水体信息提取的算法。通过综合比较和分析单波段阈值法、谱间关系法、归一化水体指数法和IHS(intensity hue saturation)变换法,借助数学形态学、中值滤波等进行优化处理,进而提出了改进的谱间关系法。实验证明该改进算法具有有效性,提取效果良好,能够提取到较细小的河流等水体信息。河流细节丰盈,山体阴影较少,总体精度较高,与实际情况一致性较好。

关 键 词:TM影像  谱间关系法  水体提取  阴影  美国陆地卫星和号专题制图仪
收稿时间:2013-08-25
修稿时间:2013-08-25

Research on Water Information Extraction Algorithm based on TM Images
Shuoben Bi,YuJun Qian,Qifu Wang and Yi Guo. Research on Water Information Extraction Algorithm based on TM Images[J]. Science Technology and Engineering, 2014, 14(3)
Authors:Shuoben Bi  YuJun Qian  Qifu Wang  Yi Guo
Affiliation:School of Remote Sensing,Nanjing University of Information Science Technology,School of Computer Software,Nanjing University of Information Science Technology,School of Remote Sensing,Nanjing University of Information Science Technology
Abstract:Based on analyzing the Landsat TM image spectrum, the relations between the spectrum was improved, and then creating a new model on the basis of band-relation based algorithm to avoid the disadvantages of the existing methods. The new method is suitable for Zhengzhou and Luoyang. Through comparing four different methods, such as single-band threshold method, band-relation algorithm, normal differential water index and the IHS transform method. The Paper did some mathematical morphology processing, and filter optimization about the water information, then selected Zhengzhou and Luoyang as experimental area . Experiments show that the improved algorithm is effective and extract effect is good. The new algorithm is effective: Small river can be found out, less shadow of hills, the overall accuracy is higher and consistent with the actual situation.
Keywords:TM images   Band-relation algorithm   water body extraction   shadow
本文献已被 CNKI 等数据库收录!
点击此处可从《科学技术与工程》浏览原始摘要信息
点击此处可从《科学技术与工程》下载全文
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