Space-based infrared staring sensor design method integrating detection and information processing technology

This paper combines the information processing technology for target detection with the sensor parameter design. A design method which is suitable for the staring infrared sensor in geosynchronous orbit has been proposed. The signal-to-noise ratio (SNR) has been introduced to evaluate the detection performance. The sensor temporal-spatial noise and background clutter time-domain residual have been comprehensively analyzed. First, the temporal noise and the spatial noise have been separated and compared, and then the background clutter and time-domain residual with different ground sample distance (GSD) have been analyzed based on the on-orbit remote sensing image. The results showed that selecting the appropriate GSD and applying the target detection method of time domain correlation, under the background-limited photodetection (BLIP), the design threshold of the noise equivalent target (NET) can be improved, and the detection and information processing efficiency can be maximized. The method proposed in this paper provide information for the design and optimization of space-based staring infrared sensor parameter.