Multispectral imaging technology has found wide applications in remote sensing, as it has a relatively high spectral resolution. But the existing technologies have many shortcomings such as low system integration, high complexity, small field of view (FOV), and are not suitable for real-time spectral imaging applications from the atmosphere or from orbit. How to solve this bottleneck? Nature is the best teacher of mankind.
A research team led by Prof. Dr. Yu Weixing from Xi'an Institute of Optics and Precision Mechanics (XIOPM) of the Chinese Academy of Sciences (CAS) proposed a multispectral curved compound eye camera (MCCEC) based on a bionic compound eye camera system, which can simultaneously obtain information of multiple spectrum segments on seven narrow wavebands at real time in an ultra large FOV of up to 120°. This work was published in the journal Optics Express.
The MCCEC consists of three subsystems: a curved micro-lens array integrated with selected narrow-band optical filters, an optical transformation subsystem, and the data processing unit with an image sensor.
It high imaging quality with a cutoff spatial frequency larger than 100 lp/mm. The tolerance analysis indicates that the designed MCCEC has a reasonable diffraction MTF out of the manufacturing and assembling tolerances. The formed MCCEC consists of about 117 microlenses and seven spectral channels.
All in all, the MCCEC has huge advantages over traditional multispectral cameras systems, and it can be further adapted or optimized to be airborne or satellite borne payloads for remote sensing for multispectral imaging in real time with an ultra large FOV.
More information: Xiaodan Yu et al. Multispectral curved compound eye camera, Optics Express (2020). DOI: 10.1364/OE.385368
Journal information: Optics Express
Provided by Chinese Academy of Sciences