摘要
在湿地遥感动态监测中,需处理大量时间序列的数据,带来了时间、成本、技术、精度4个指标此消彼长的矛盾,是其遥感数据应用向产业化发展迈进存在的问题之一 针对上述问题,在闽江口湿地动态监测和专题信息提取过程中,建立了提取方法优选模型,构建了基于优化理论的湿地信息提取分层分类模式 该模式在试验区其它数景不同时相图像的湿地信息提取过程中,取得了最佳的时间、成本、技术。
A large amount of multi-temporal data need to be processed in the wetland dynamic monitoring based on satellite remote sensing, which brings the contradiction among time, cost, technology, and data accuracy. This is one of the baffles to the industrialization of the dynamic monitoring in the long run. During the processing of the wetland remote sensing image in Minjiang River Estuary, an optimal selection model of wetland classification and the multi-layer information extracting method based on optimization theory are established. The best synthetic effectiveness of integrating the above-mentioned four driving factors is gained using this mode to process the other temporal remote sensing images.
出处
《福建林学院学报》
CSCD
北大核心
2004年第4期308-311,共4页
Journal of Fujian College of Forestry
基金
福建省教育厅科学基金资助项目(JA03018)
关键词
遥感影像
优化理论
湿地
产业化
优选模型
remote sensing image
optimization theory
wetland
industrialization
optimal selection model
