In this paper, we present the development of a sensing system with the capability to compute multispectral point clouds in real-time. The proposed multi-eye sensor system effectively registers information from the visible, (long-wave) infrared, and ultraviolet spectrum to its depth sensing frame, thus enabling to measure a wider range of surface features that are otherwise hidden to the naked eye. For that, we designed a new cross-calibration apparatus that produces consistent features which can be sensed by each of the cameras, therefore, acting as a multispectral "chessboard". The performance of the sensor is evaluated with two different cases of studies, where we show that the proposed system can detect "hidden" features of a 3D environment.
翻译：在本文中,我们介绍了能够实时计算多谱点云的遥感系统的开发情况,拟议的多眼传感器系统有效地从可见光、(长波)红外线和紫外线频谱中将信息记录到其深度感测框架,从而能够测量在其他方面隐藏在肉眼上的更广泛的表面特征。为此,我们设计了新的交叉校准装置,产生每个照相机都能感知到的一致特征,因此,作为多谱“切片板”发挥作用。传感器的性能用两种不同的研究案例进行评估,我们在这里表明,拟议的系统能够探测到3D环境的“隐藏”特征。
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