摘要
对常用光学遥感数据的湖泊水体信息提取方法及其优缺点进行了总结。针对湖泊水体信息提取中的难点——混合像元问题,总结了线性解混、神经网络解混和矢量解混等方法的优缺点。在目前多卫星、多传感器快速发展的条件下,基于多源数据开展湖泊水体协同观测是未来的发展趋势,而在多源遥感数据之间的空间匹配和不同反演结果的融合中,尺度转换是关键。
This paper reviewed the progress of the extraction of lake water from different remote sensing data.First,it reviewed the advantages and disadvantages of different extraction techniques from commonly used data sources,such as Landsat TM,ETM and MODIS.Second,it summed up the advantages and disadvantages of linear blending,neural network blending and vector blending in order to solve the problems in the extraction of lake water information.Finally,it pointed out that under the conditions of the rapid development of multiple satellites and multi-sensor,the cooperative observation of lake water based on multi-source data is the future development trend,and the scale conversion is the key point in the fusion between spatial matching of multi-source remote sensing data and different inversion results.
作者
种丹
张世强
李浩杰
李姣姣
CHONG Dan;ZHANG Shiqiang;LI Haojie;LI Jiaojiao(College of Urban and Environmental Science, Northwest University, Xi'an 710127, China)
出处
《人民黄河》
CAS
北大核心
2018年第3期49-53,75,共6页
Yellow River
基金
水利部公益性行业科研专项(201401026)
云南省社会发展科技计划项目(2012CA021)
关键词
光学遥感
湖泊水体
提取
混合像元分解
集成
optical remote sensing
lake body
extraction
mixed pixel decomposition
integration
