Preliminary verification of hyperspectral LiDAR covering VIS-NIR-SWIR used for objects classification

Hyperspectral LiDAR (HSL) has been utilised as an efficacious technique in objects classification and recognition based on its synchronously obtaining spectral spatial information. However, the information obtained by most of developed HSL was visible near-infrared range (VNIR, 400–1000 nm). Whereas a longer wavelength showed more useful for detection, such detecting vegetation water content. This paper proposed tested eight-channel prototype covering to even short-wavelength infrared (VIS-NIR-SWIR, 450–1460 nm) Super-continuum (SC) laser. System calibration, precision profiles experiments were carried out test prototype. The collected are consistent with those acquired commercial spectrometer (SVC© HR-1024). And these plants, textiles, camouflage objects, ore samples HSL, especially SWIR range, can effectively reveal health status classify manufacturing materials species. unique characteristics VIS-NIR-SWIR promote shows potential applications related vegetation, mining surveillance.