A Full-Spectrum, 3-D Noise-Based Infrared Imaging Sensor Model

摘要

This model was developed in matlab with I/O links to excel spreadsheets to add realistic and accurate sensor effects to scene generator or actual sensor/camera images. The model imports scene generator or sensor images, converts these radiance images into electron maps and digital count maps, and modifies these images in accordance with user-defined sensor characteristics such as the response map, the detector dark current map, defective pixel maps, and 3-D noise (temporal and spatial noise). The model provides realistic line-of-sight motion and accurate and dynamic PSF blurring of the images. The sensor model allows for the import of raw nonuniformities in dark current and photoresponse, performs a user-defined two-point nonuniformity correction to calculate gain and offset terms and applies these terms to subsequent scene images. Some of the model's capabilities include the ability to fluctuate or ramp FPA and optics temperatures, or modify the PSF on a frame-by-frame basis. The model also functions as an FPA/sensor performance predictor and an FPA data analysis tool as FPA data frames can be input into the 3-D noise evaluation section of the model. The model was developed to produce realistic infrared images for IR sensors.