Experimental demonstration of an anti-shake hyperspectral imager of high spatial resolution and low cost

Environmental and internal factors can degrade the performance of a traditional hyperspectral imager. Here, we combine a self-developed hyperspectral imager with a calibration camera to improve its performance with our algorithm. The calibration camera is utilized to reduce the effect of the camera shake and provide high-definition splicing image in hyperspectral cube. The spectrum in the hyperspectral cube is provided by the hyperspectral imager. It can obtain high-definition images in hand-held or UAV scanning modes. In our experiment, the horizontal resolution of the image with calibration is improved from 9.7 mm to 1 mm, and the vertical spatial resolution is improved from 1 mm to 0.5 mm. Additionally, by using “Structure from Motion with Multi-View Stereo” (SfM-MVS), the system can carry out three-dimensional reconstruction. The images are fused together and transformed into a multi-dimensional image with depth and spectrum. Our experiments show that it can be used in environmental monitoring and face Anti-spoofing. Our system is highly stable and performs well when mounted on a UAV (without any gimbal) for remote sensing. The low complexity and low cost open possibilities for large-scale on-site and distributed hyperspectral imaging.