Push-broom spectral imaging method based upon multi-slit

The acquisition of high image quality and high resolution spectral data is limited by light flux. A push-broom spectral imaging should reduce the spatial resolution if it amplified its light flux to increase its signal noise ratio (SNR). According to this problem, the theory of compressive sensing (CS) is introduced for modeling the push-broom spectral imaging system from the signal processing analysis, so that the number of slits of the imaging system can be increased to amplify its light flux. Under the guidance of the theory of compressive sensing, the light flux can increase without reducing the spatial resolution. In the simulation, if its exposure frequency dropped to 1/4 the original, and its light flux increased to 128 times the original, the spectral image with the resolution of 512× 512 could be well obtained. This method is suitable for remote sensing by using a smaller number of times for imaging and less memory for storage and transmission compared with the traditional one.