MR PRISM:用于棱镜的光谱分析工具

A. Brown, M. Storrie-Lombardi
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引用次数: 3

摘要

我们描述了一个计算机应用程序,旨在分析由火星紧凑型红外光谱仪(CRISM)收集的高光谱数据。该应用程序通过向用户展示三种不同的分析数据的方法,将光谱、成像和绘图的视角连接到最终的CRISM数据集上。开发这台仪器的目标之一是建立最新的算法,用于探测红色星球表面上引人注目的光谱目标,这样行星科学界就可以免费使用它们,并且学习障碍最小。这将使天体生物学社区能够寻找感兴趣的目标,如热液矿物、硫酸盐矿物和含水矿物,并能够使用最新和最有效的算法绘制这些矿物的范围。该应用程序是用Java编写的,将适用于Windows、Mac和Linux平台。用户将能够将Groovy脚本嵌入到程序中,以扩展其功能。CRISM的第一次数据收集将于2006年9月进行,这些数据将在6个月后通过行星数据系统(PDS)向公众提供。因此,社区中的潜在用户应该期待2007年中期的发布日期。尽管对CRISM数据集的探索是开发这些软件工具的动力,但是编写额外的Groovy脚本以访问其他数据集的方便性使得这些工具对于矿产勘探、作物管理以及地球或其他类地行星上的极端环境的表征非常有用。该系统可以很容易地为高中,大学和研究生水平的学生使用。
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MR PRISM: a spectral analysis tool for the PRISM
We describe a computer application designed to analyze hyperspectral data collected by the Compact Infrared Spectrometer for Mars (CRISM). The application links the spectral, imaging and mapping perspectives on the eventual CRISM dataset by presenting the user with three different ways to analyze the data. One of the goals when developing this instrument is to build in the latest algorithms for detection of spectrally compelling targets on the surface of the Red Planet, so they may be available to the Planetary Science community without cost and with a minimal learning barrier to cross. This will allow the Astrobiology community to look for targets of interest such as hydrothermal minerals, sulfate minerals and hydrous minerals and be able to map the extent of these minerals using the most up-to-date and effective algorithms. The application is programmed in Java and will be made available for Windows, Mac and Linux platforms. Users will be able to embed Groovy scripts into the program in order to extend its functionality. The first collection of CRISM data will occur in September of 2006 and this data will be made publicly available six months later via the Planetary Datasystem (PDS). Potential users in the community should therefore look forward to a release date mid-2007. Although exploration of the CRISM data set is the motivating force for developing these software tools, the ease of writing additional Groovy scripts to access other data sets makes the tools useful for mineral exploration, crop management, and characterization of extreme environments here on Earth or other terrestrial planets. The system can be easily implemented for use by high school, college, and graduate level students.
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