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首页> 外文会议>Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XII pt.1 >Analyzing spectral sensors with highly overlapping bands
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Analyzing spectral sensors with highly overlapping bands

机译：分析具有高度重叠频段的光谱传感器

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摘要

Most traditional spectral sensors have spectrally adjacent bands with little overlap. This overlap is usually ignored in image processing because band-to-band correlation due to oversampling of the scene is almost always dominant. A new proposed class of adaptive spectral sensor based on bias-tunable quantum-dot infrared photodetectors (QDIPs) are different in that they have significant band-to-band overlaps. The influence of these overlaps to image processing results cannot be ignored for such sensors. To facilitate the analysis of such sensors, a generalized geometry-based model is provided here for spectral sensors with arbitrary spectral responses. It starts from the mathematical description of the interaction between sensor and the radiation from scene reaching it. In this model, the spectral responses of a sensor are used to define a sensor space. The spectral sensing process is shown to represent a projection of scene spectrum onto sensor space. The projected spectrum, which can be calculated through the output photocurrents and sensor's spectral responses, is the least-square error reconstruction of the scene spectrum. With this data interpretation, we can remove the influence of band overlap to the data. The band overlap also introduce correlation between noise of different bands, This correlation is also analyzed.
机译：大多数传统的光谱传感器在光谱上相邻的波段几乎没有重叠。在图像处理中通常会忽略这种重叠，因为由于场景的过采样导致的带间相关几乎总是占主导地位。基于偏置可调量子点红外光电探测器（QDIP）的一类新提出的自适应光谱传感器的不同之处在于，它们具有明显的带间重叠。对于这些传感器，这些重叠对图像处理结果的影响是不能忽略的。为了便于此类传感器的分析，此处为具有任意光谱响应的光谱传感器提供了基于几何的通用模型。它从数学上描述传感器与到达场景的辐射之间的相互作用开始。在此模型中，传感器的光谱响应用于定义传感器空间。频谱感测过程显示为代表场景频谱在传感器空间上的投影。可以通过输出光电流和传感器的光谱响应来计算的投影光谱是场景光谱的最小二乘误差重建。通过这种数据解释，我们可以消除频带重叠对数据的影响。频带重叠还引入了不同频带的噪声之间的相关性，并且对该相关性进行了分析。

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