摘要
本文以位于我国不同地区的10个湖泊为研究区域,对波段差值模型、FAI模型以及NDWI和近红外波段模型等3种水体提取模型进行了比较,分析其在MODIS数据湖泊水体识别方面的效果。模型中的阈值分别采用大津法和迭代法计算。结果表明,波段差值模型在西部地区湖泊的应用效果较好,而NDWI和近红外波段模型在东部地区湖泊的应用效果较好,两者总体上比FAI模型更为准确地提取了湖泊水体信息。此外,大多数情况下大津法和迭代法得到的阈值是相近的。
In this paper,three common water extraction models are studied,including the combined model of NDWI and NIR,the band difference model and the FAI model.These models are compared in identifying water bodies of 10 lakes located in different regions of China based on the MODIS data.All the thresholds in these models are determined by the Otsu and iteration method automatically.It is shown that the band difference model leads to the best results for the lakes in the western region.For the lakes in the eastern region,the best results are obtained based on the combined model of NDWI and NIR.In most cases,the thresholds calculated by iteration method and the Otsu are close.
出处
《遥感信息》
CSCD
北大核心
2015年第1期111-118,共8页
Remote Sensing Information
基金
重庆市教委科技项目(KJ1401028)
重庆三峡学院校级科研项目(KJ131108)
