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机构地区:[1]中国科学院对地观测与数字地球科学中心,北京100101 [2]中国科学院研究生院,北京100049
出 处:《国土资源遥感》2009年第3期70-73,共4页Remote Sensing for Land & Resources
基 金:973计划项目(编号:2009CB723906);中国科学院知识创新工程重要方向性项目(编号:KZCX2-YW-313)资助
摘 要:利用新型的Radarsat-2极化雷达数据,结合极化雷达目标分解方法提取鄱阳湖湿地不同地表类型的极化特征量,并进行了Wishart非监督和监督分类,取得了较高的精度。研究表明,Radarsat-2卫星的全天候极化雷达成像能力将在湿地监测和制图中有较大的应用潜力。Wetlands play a key role in regional and global environments and are critically linked to many major issues such as climate change, water quality, hydrological and carbon cycles, and wildlife habitat and biodiversity. Mapping wetlands and monitoring their change constitute a long - term task. Remote Sensing characteristics with macrocosm, dynamics, quantity, and comparability will largely favor wetland research. The radar remote sensing, which is not affected by climate conditions, has been especially proved to be an effective tool in wetland monito- ring. In this paper, the unique polarimetric data of Radarsat -2 were investigated for wetland classification, and the target decomposition was used for optimum characterization of wetland target scattering. It is shown that the polarimetric information provided by Radarsat- 2 permits discriminating eight classes of land surface, and leads to an effective unsupervised and supervised Wishart classification of Poyang Lake wetland. Hence, the combination of Radarsat- 2's polarimetric and all -weather capabilities is likely to provide unique information for operational mapping and monitoring of wetlands.
分 类 号:TP79[自动化与计算机技术—检测技术与自动化装置]
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