Design of supercontinuum laser hyperspectral light detection and ranging (LiDAR) (SCLaHS LiDAR)

ABSTRACT

Traditional Light Detection and Rangings (LiDARs) can quickly collect high-accuracy of three-dimensional (3D) point cloud data at a designated wavelength (i.e., cannot obtain hyperspectral data), while the passive hyperspectral imager can collect rich spectral data of ground objects, but are lack of 3D spatial data. This paper presents one innovative study on the design of airborne-oriented supercontinuum laser hyperspectral (SCLaHS) LiDAR with 50 bands covering 400 nm to 900 nm at a spectral resolution of 10 nm and ground sampling distance (GSD) of 0.5 m. The major innovations include (1) development of the high-power narrow-pulse supercontinuum laser source covering 400 nm to 900 nm with 50 bands using multi-core microstructure fibre, all-polarization maintaining fibre and ultra-long cavity structure, (2) a miniaturized aberration correction holographic concave grating spectroscopic and streak tube technique are developed for 50 bands laser echoes detection at high spectral-spatial-temporal resolution and dynamic airborne platform, and (3) the algorithm theoretic basis for SCLaHS LiDAR point cloud data 3D geodetic coordination calculation, including in-flight airborne calibration algorithm. The initial experimental results demonstrated that the designed SCLaHS LiDAR is doable, and a prototype of the (SCLaHS) LiDAR intends to be implemented.

Author Contributions

G. Zhou proposed the idea, wrote the whole manuscript, conceived and designed the experiments, and finalized the manuscript; X. Zhou collected the material and wrote initial versions of Introduction; Y. Song conducted the part of experiments and revised partial illustrations, Other authors wrote the Chinese version and participated in discussion and analysis. All authors have read and agreed to publish the version of this manuscript.

Disclosure statement

The authors declare no conflict of interest.

Additional information

Funding

This paper is financially supported by the National Natural Science of China (the grant #: 41961065), Guangxi Science and Technology Base and Talent Project (the grant #: Guike AD19254002); the Guangxi Innovative Development Grand Program (the grant #: GuikeAA18118038 and GuikeAA18242048); Guangxi Natural Science Foundation for Innovation Research Team (the grant #: 2019GXNSFGA245001), Guilin Research and Development Plan Program (the grant #: 20190210-2), and the BaGuiScholars program of Guangxi.