基于Landsat TM影像的水体信息提取 |
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作者姓名: | 刘桂林 张落成 刘剑 李广宇 |
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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 |
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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 |
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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.
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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 |
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Authors: | LIU Gui-Lin ZHANG Luo-Cheng LIU Jian LI Guang-Yu |
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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 |
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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. |
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Keywords: | water body extraction spectral relationships LBV transformation characteristic band |
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