This paper has carried out experiments on the influence of spectral resolution and channel number on the camouflage target recognition of imaging spectrometer. Based on the measured data, the camouflage helmet is selected as the spectral curve of camouflage target for resampling, and the spectral curve obtained under different spectral resolution and channel number conditions is simulated. Qualitative analysis is carried out by graphic method, interpolation operation is carried out on the resampling spectral data, and quantitative analysis is carried out by using SAM (Sepctral Angle Mapper) method. The resampling target characteristic spectral curve is compared with the original spectral curve in different ranges. The experimental conclusion is obtained by analyzing the spectral characteristics of the camouflage target under different spectral resolution and different channel number conditions, it can provide theoretical basis and technical support for the determination and optimization of spectral resolution and channel number of imaging spectrometer used for camouflage target recognition.
Aiming at the application requirements of camouflage effectiveness evaluation of targets (personnel, vehicles covered with camouflage nets, aircraft and other camouflage equipment), a near-infrared light imaging spectrometer based on acousto-optic tunable filter (AOTF) is developed to collect the optical characteristic data of targets. By analyzing the AOTF light splitting principle and the synchronous control principle of the RF driver and COMS camera, combined with the actual needs of the imaging spectrometer in the project, the design scheme of the data acquisition system is formulated, the design process of the system based on the QT Creator platform is described in detail, and the acquisition software is developed.
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