用IconMap方法可视化分析从遥感数据提取的蚀变矿物信息
IconMap Based Visualization of Alteration Mineral Information Retrieved from Remotely Sensed Data
约束能量最小法(CEM)的亚像元分析算法首先用来从ASTER地面反射率影像数据提取美国加州巧克力山地区的重要蚀变矿物信息。然后,设计了一种基于GIS icon的可视化技术来协同可视化分析这些蚀变矿物的丰度信息。结果表明,ASTER数据在矿物填图方法因为6个短波红外波段而显得很有价值,基于icon的协同可视化方法能够很好地展示蚀变矿物等相关多元地理空间变量的空间分布模式,有助于进一步分析矿物形成过程。
subpixel unmixing algorithm, the constrained energy minimization (CEM) was used to detect significant alteration minerals from the ASTER surface reflectance image data covering the south Chocolate Mountains area, California, U.S.A. For visualization purposes, a GIS icon-based visualization technique was designed and implemented to co-visualize these four alteration minerals. The results illustrate that ASTER data is very valuable for mineral mapping due to the presence of the six SWIR bands. The icon-based co-visualization has advantages of visualizing multiple spatial data layers in a raster GIS model. This is helpful for the analysis of minerlaization processes.
王旭阳、张显峰、麦克派日拉
地质学测绘学工程设计、工程测绘
GIS icon可视化蚀变矿物丰度信息空间模式
GIS iconvisualizationalteration mineralsabundancespatial patterns
王旭阳,张显峰,麦克派日拉.用IconMap方法可视化分析从遥感数据提取的蚀变矿物信息[EB/OL].(2011-02-16)[2025-08-18].http://www.paper.edu.cn/releasepaper/content/201102-165.点此复制
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