Abstract The National Aeronautics and Space Administration (NASA) has proposed the launch of a new space-borne sensor called HyspIRI (Hyperspectral and Infrared Imager) which will cover the spectral range from 0.4–12 μm. Two instruments will be mounted on HyspIRI platform: 1) a hyperspectral instrument which can sense earth surface between 0.4 and 2.5 μm at 10 nm intervals and 2) a multispectral infrared sensor will acquire images between 3 and 12 μm in eight spectral bands (one in Mid infrared (MIR) and seven in Thermal Infrared (TIR)). The TIR spectral wavebands will be positioned based on their importance in various applications. This study aimed to identify HyspIRI optimal TIR wavebands position for earth compositional mapping. A Genetic Algorithm coupled with the Spectral Angle Mapper (GA-SAM) was used as a spectral bands selector. High dimensional HyTES (Hyperspectral Thermal Emission Spectrometer) emissivity spectra comprised of 202 spectral bands of Cuprite and Death Valley regions were used to select meaningful subsets of bands for earth compositional mapping. The GA-SAM was trained for fifteen mineral classes and the algorithms were run iteratively 50 times. High calibration (> 95%) and validation (> 90%) accuracies were achieved with a limited number (seven) of spectral bands selected by GA-SAM. The knowledge of important band positions will help the scientists of the HyspIRI group to place spectral bands in regions where accuracies of earth compositional mapping can be enhanced.

中文翻译：

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使用 HyTES 数据为地球成分映射选择 HyspIRI 最佳波段位置

摘要 美国国家航空航天局 (NASA) 提议发射一种名为 HyspIRI（高光谱和红外成像仪）的新型星载传感器，其光谱范围为 0.4-12 μm。HyspIRI 平台上将安装两台仪器：1) 一个高光谱仪器，可以以 10 纳米的间隔感应 0.4 到 2.5 微米之间的地球表面；2) 多光谱红外传感器将在八个光谱波段（一个在中红外 (MIR) 和七中热红外 (TIR)）。TIR 光谱波段将根据它们在各种应用中的重要性进行定位。本研究旨在确定用于地球成分测绘的 HyspIRI 最佳 TIR 波段位置。结合光谱角度映射器 (GA-SAM) 的遗传算法用作光谱带选择器。高维 HyTES（高光谱热发射光谱仪）发射率光谱由赤铜矿和死亡谷地区的 202 个光谱带组成，用于选择有意义的波段子集用于地球成分绘图。GA-SAM 针对 15 个矿物类进行了训练，并且算法迭代运行了 50 次。高校准 (> 95%) 和验证 (> 90%) 精度是通过 GA-SAM 选择的有限数量（七个）光谱带实现的。重要波段位置的知识将帮助 HyspIRI 小组的科学家将光谱波段放置在可以提高地球成分映射精度的区域中。