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Geometric Calibration of a Hyperspectral Frame Camera

机译:高光谱帧相机的几何校准

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摘要

Recently, miniaturised hyperspectral sensors operable from small unmanned airborne vehicle platforms have entered the market. The emerging hyperspectral imaging technologies, based on frame cameras and tuneable filters, are attractive alternatives to hyperspectral pushbroom sensors. This paper addresses the geometric calibration process of a hyperspectral frame camera based on a Fabry-Perot interferometer. However, the addition of more optical elements in front of the image sensor can affect the parameters related to the internal geometry of the camera, and a deficiency in knowledge regarding these parameters can have a critical effect on the accuracy of 3D measurements in photogrammetric applications. The experiments focused on assessing the self-calibrating bundle adjustment to verify the behaviour of the interior parameters, considering different spectral bands. The results indicated that the applied self-calibration method can accurately characterise the interior parameters of this camera and that one set of parameters is required for each internal sensor.
机译:近来,可从小型无人驾驶车辆平台操作的小型高光谱传感器进入市场。基于帧相机和可调谐滤镜的新兴高光谱成像技术是高光谱推扫帚传感器的诱人替代品。本文介绍了基于Fabry-Perot干涉仪的高光谱框架相机的几何校准过程。但是,在图像传感器前面添加更多的光学元件可能会影响与相机内部几何结构有关的参数,而有关这些参数的知识不足可能会对摄影测量应用中的3D测量准确性产生关键影响。实验着重于评估自校准束调整,以验证内部参数的行为,并考虑不同的光谱带。结果表明,所应用的自校准方法可以准确地表征此相机的内部参数,并且每个内部传感器都需要一组参数。

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