Identification of bad pixels in shortwave infrared high-speed hyperspectral imager for spaceborne remote sensing

To reduce the influence of bad pixels in large-aperture interferometric imaging shortwave infrared high-speed hyperspectral imagers on recovering spectra, a bad pixel identification template was established using a hyperspectral imager test process to effectively raise the efficiency of identification of bad pixels. First, image data were collected based on the gain template and frame-rate template for the hyperspectral imager test. Then, the judgment threshold Th₁ was set reasonably according to the gain response of normal pixels to identify abnormal pixels under different gains and record the corresponding coordinate values, and the judgment threshold Th₂ was set reasonably according to the frame-rate response gray values of normal pixels to identify abnormal pixels under different frame rates and record the coordinate values. Finally, after the abnormal pixels identified by the gain template and those identified by the frame-rate template were compared, they were used together to identify bad pixels. The experimental results show that the identification method based on the gain and frame-rate templates can effectively identify bad pixels in a shortwave infrared hyperspectral imager detector without increasing the cost of equipment development and testing, while providing an economical, practical, efficient, and reliable technical means for correcting bad pixels in a shortwave infrared hyperspectral imager. The method also offers a useful reference to improve the accuracy of inversion of interferometric imaging hyperspectral imager spectral data.