基于Landsat TM影像的水体信息提取

doi:10.7523/j.issn.2095-6134.2013.05.011

中国科学院大学学报 ›› 2013, Vol. 30 ›› Issue (5): 644-650.DOI: 10.7523/j.issn.2095-6134.2013.05.011

基于Landsat TM影像的水体信息提取

刘桂林^1,2, 张落成¹, 刘剑^1,2, 李广宇^1,2

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

收稿日期:2012-05-10 修回日期:2013-01-16 发布日期:2013-09-15
基金资助:
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 

Water body information extraction based on Landsat TM remote sensing imagery

LIU Gui-Lin^1,2, ZHANG Luo-Cheng¹, LIU Jian^1,2, LI Guang-Yu^1,2

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

Received:2012-05-10 Revised:2013-01-16 Published:2013-09-15
Contact: 张落成,E-mail:lchzhang@niglas.ac.cn

摘要/Abstract

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

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.

Key words: water body extraction, spectral relationships, LBV transformation, characteristic band

中图分类号:

TP75

刘桂林, 张落成, 刘剑, 李广宇. 基于Landsat TM影像的水体信息提取[J]. 中国科学院大学学报, 2013, 30(5): 644-650.

LIU Gui-Lin, ZHANG Luo-Cheng, LIU Jian, LI Guang-Yu. Water body information extraction based on Landsat TM remote sensing imagery[J]. , 2013, 30(5): 644-650.

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基于Landsat TM影像的水体信息提取

Water body information extraction based on Landsat TM remote sensing imagery

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