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SIMPLIFIED HYPERSPECTRAL CAMERA CALIBRATIONFOR ACCURATE RADIOMETRIC MEASUREMENTS

机译:简化的高光谱相机校准可精确辐射测量

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Hyperspectral imaging has enhanced radiometric and colorimetric analysis of complex scenes by offering a continuous spectrum for every pixel in the entire scene. Nevertheless, hyperspectral image acquisition and spectral calibration still remain a challenging task. We propose a simplified methodology to enable accurate and reliable characterisation of a commercial hyperspectral camera and spectral calibration of its output data. A calibration coefficient was determined for the spectral acquisition range (400 nm-1000 nm) and native resolution (every 2,7 nm) to transform the raw hyperspectral data into spectral radiance in SI units (W·m~(-2).sr per nm). This calibration curve, along-with a linear relation between exposure values and corresponding raw radiance values, was used to automatically determine exposure values that might over/under expose the camera sensors. Different spectral resolutions were also tested to minimize the data size and maintain spectral accuracy. These characterisations and the spectral calibrations were validated under LED and fluorescent sources within a 2300 K-6500 K range of correlated-colour temperatures.
机译:高光谱成像已经通过提供一个连续的光谱在整个场景中的每个像素增强复杂场景的辐射度和比色分析。然而,高光谱图像采集和光谱校准仍然是一个艰巨的任务。我们提出了一个简单的方法,以使商业高光谱相机,其输出数据的光谱校准的准确和可靠的特性。是为光谱采集范围(400纳米-1000 nm)与原始分辨率(每2,7 nm)至变换以SI单位的原始高光谱数据到光谱辐射亮度确定的校准系数(W·米〜(-2)输出功率等每纳米)。该校准曲线,沿具有曝光值和相应的原始辐射值之间的线性关系,被用来自动确定曝光值的可能过/欠暴露相机传感器。不同光谱分辨率也进行了测试,以最小化数据大小和保持频谱的精度。这些表征的和频谱校准下LED和相关色温度的2300 K-6500 K范围之外内荧光源进行了验证。

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