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For traditional point-to-point imaging technology, amplitude modulation intensity correlation imaging technology, and computational imaging technology based on channel coding, there are defects of insufficient channel utilization. To overcome this limitation, this paper proposes a scheme to reconstruct 3D spectral imaging at a video-level imaging rate using a ghost imaging via sparsity constraints (GISC) snapshot spectroscopic camera. The modulation/demodulation process of snapshot video spectral imaging is elaborated based on the imaging principle of a snapshot GISC spectral camera and the design method of DOE in the GISC spectral camera. Experimental results demonstrate that the proposed method successfully captures hyper-spectral reconstructed images of 15 spectral channel wavelengths, including 461–698 nm, while recording three small fish of different colors in motion at a rate of 30 frames/second. The method and result presented will have great application prospects in satellite remote sensing data analysis, air traffic control, animal migration monitoring research, and escaping vehicle tracking in traffic accidents.
For traditional point-to-point imaging technology, amplitude modulation intensity correlation imaging technology, and computational imaging technology based on channel coding, there are defects of insufficient channel utilization. To overcome this limitation, this paper proposes a scheme to reconstruct 3D spectral imaging at a video-level imaging rate using a ghost imaging via sparsity constraints (GISC) snapshot spectroscopic camera. The modulation/demodulation process of snapshot video spectral imaging is elaborated based on the imaging principle of a snapshot GISC spectral camera and the design method of DOE in the GISC spectral camera. Experimental results demonstrate that the proposed method successfully captures hyper-spectral reconstructed images of 15 spectral channel wavelengths, including 461–698 nm, while recording three small fish of different colors in motion at a rate of 30 frames/second. The method and result presented will have great application prospects in satellite remote sensing data analysis, air traffic control, animal migration monitoring research, and escaping vehicle tracking in traffic accidents.
Aiming at the application requirements of spectral imaging technology in satellite remote sensing, biomedical diagnosis, marine detection and rescue, agricultural and forestry monitoring and classification, military camouflage identification, etc., this paper uses 532 and 650 nm lasers as light sources, and uses multi-spectral intensity correlation imaging equipment—snapshot spectroscopic cameras based on ghost imaging via sparsity constraints (GISC) enable precise identification of targets. In this paper, the principle of snapshot GISC spectral imaging is expounded, and the experimental research work of GISC spectral imaging target recognition technology based on active laser illumination is carried out. The experimental results show that using a 532 nm laser as the light source to illuminate the target object can accurately identify the green target letter “I”; using a 650 nm laser as the light source to illuminate the target object can accurately identify the red target letter “Q”. And gives spectral imaging results of the color target “QIT” acquired by the GISC spectroscopic camera through a single exposure at the wavelength range from 446 to 698nm, with both pseudo-color map and color fusion map. In order to further illustrate the feasibility of the experiment, the spectral distribution of the reconstructed image is analyzed, which has important practical significance and engineering value.
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