During the evolution of hyperspectral remote sensing in China, there are many weaknesses in low spatial resolution and poor flexibility, which is located in manned aerial vehicle remote sensing and satellite remote sensing, and in low operation efficiency, which is located in hyperspectral remote sensing based on rotor UAV (Unmanned Aerial Vehicle). This article develop a VNIR (Visible/Near infrared) hyperspectral imager applicable to UAV for overcoming these weaknesses. To prove application effect of VNIR hyperspectral imager, this article make an flying experiment using hyperspectral imager based on vertical takeoff and landing fixed-wing UAV. We make atmospheric correction and spectrum reconstruction to UAV hyperspectral image using empirical line calibration method with external field radiometric calibration. This article demonstrate spectral validation with compared two spectral curves in the same typical surface in ASD ground spectrograph device and the hyperspectral image after atmospheric correction. The result shows that there is high fitness between VNIR image spectral curves and ground spectrograph spectral curves, and provides the most reliable results of hyperspectral imager. At last, this article got terrain classification on hyperspectral image, which can be considered as good application effect.
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