Research on dynamic stray radiation suppression method based on imaging spectroscopy

In applications of target detection and recognition extraction under dynamic interference backgrounds, the issue of stray radiation spectra at characteristic wavelengths reducing the target signal-to-noise ratio and submerging target images affects the usability of detection data and lowers the target extraction rate. To address this problem, this paper proposes an imaging spectroscopy-based method for dynamic stray radiation suppression. This method demonstrates significant advantages in dynamic stray radiation suppression. Compared to traditional hardware filtering approaches based on fixed optical filters, it allows simultaneous removal of arbitrary or multiple anomalous spectral bands by adjusting the filter center wavelength and bandwidth, achieving a stray radiation suppression ratio exceeding 98%. This method is applicable to the suppression of complex and variable background stray radiation, providing a new technical approach for the high-precision extraction of target data. It can be widely applied in fields such as chemical analysis, remote sensing monitoring, environmental detection, and military reconnaissance.