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基于Landsat TM影像的水体信息提取
作者姓名:刘桂林  张落成  刘剑  李广宇
作者单位:1. 中国科学院南京地理与湖泊研究所湖泊与环境国家重点实验室, 南京 210008; 2. 中国科学院大学, 北京 100049
基金项目:国家自然科学基金(41130750);中国科学院南京地理与湖泊研究所重点支持项目(NIGLAS2012135006)资助 
摘    要:基于Landsat 5 TM影像,以芜湖市沿江区域为试验区,利用水体指数模型(NDWI、MNDWI)、单波段阈值法(LBV变换的B分量)、波谱间关系模型(KT3+TM4>TM2+TM7),以及新提出的波谱间关系模型(KT3+TM2>TM4+TM3)进行水体信息自动提取的试验,从定性与定量2个方面对5种方法进行对比. 结果表明,波谱间关系模型提取水体的精度最高,为93%;受到植被和建筑物等因素的干扰最小.

关 键 词:水体信息提取    谱间关系    LBV变换    特征波段
收稿时间:2012-05-10
修稿时间:2013-01-16

Water body information extraction based on Landsat TM remote sensing imagery
Authors:LIU Gui-Lin  ZHANG Luo-Cheng  LIU Jian  LI Guang-Yu
Institution:1. State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China; 2. University of Chinese Academy of Sciences, Beijing 100049, China
Abstract:In this work, Wuhu City in China was selected as the studied area. NDWI, MNDWI, LBV_B, KT3+TM4>TM2+TM7, and a new model KT3+TM2>TM4+TM3 were used to extract water body information based on Landsat TM data. Qualitative and quantitative comparisons were made. The results show that the new water information extraction model, KT3+TM2>TM4+TM3, is the most accurate(with a total accuracy of 93%), and its accuracy is less affected by vegetation and buildings.
Keywords:water body extraction                                                                                                                        spectral relationships                                                                                                                        LBV transformation                                                                                                                        characteristic band
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