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Processing Misregistered Hyperspectral Data

机译:处理注册错误的高光谱数据

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Many hyperspectral sensors collect data using multiple spectrometers to span a broad spectral range. These spectrometers can be fed by optical fibers on the same or separate focal planes. The Modular Imaging Spectrometer Instrument (MISI), a 70 band line scanner built by the Rochester Institute of Technology, is configured in this manner. Visible and near infrared spectrometers at the primary focal plane are each fed by their own optical fiber. The spatial offset between the two fibers on the focal plane causes an inherent misregistration between the two sets of spectral bands. This configuration causes a relatively complicated misregistration which cannot be corrected with a simple shift or rotation of the data. This mismatch between spectral channels has detrimental effects on the spectral purity of each pixel, especially when dealing with the application of sub-pixel target detection. A geometric model of the sensor has been developed to solve for the misregistration and achieve image rectification. This paper addresses the issues in dealing with the misregistration and techniques used to improve spectral purity on a per pixel basis.
机译:许多高光谱传感器使用多个光谱仪收集数据,以跨越很宽的光谱范围。这些光谱仪可以由光纤在相同或分开的焦平面上馈电。以这种方式配置了模块化成像光谱仪仪器(MISI),这是由罗切斯特理工学院制造的70带线扫描仪。主焦平面上的可见光和近红外光谱仪分别由自己的光纤供电。焦平面上两条光纤之间的空间偏移会导致两组光谱带之间的固有配准失​​调。这种配置导致相对复杂的配准不良,该配准不良不能通过简单的数据移位或旋转来校正。光谱通道之间的这种失配会对每个像素的光谱纯度产生不利影响,尤其是在处理子像素目标检测应用时。已经开发出传感器的几何模型以解决配准错误并实现图像校正。本文介绍了有关配准失调的问题以及用于提高每个像素光谱纯度的技术。

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