Image-spectrum integrated instrument is an infrared scanning system which integrates optics, mechanics, electrics and information processing. Not only can it achieve scene imaging, but also it can detect, track and identify targets of interests in the scene through acquiring their spectra. After having a brief introduction to image-spectrum integrated instrument and analyzing how 2D scanning mirror works, this paper built 3D model of 2D scanning mirror and simulated its motion using two PCs basing on VC++ and ACIS/HOOPS. Two PCs communicate with each other through serial ports. One PC serves as host computer, on which controlling software runs, is responsible for loading image sequence, image processing, target detecting, and generating and sending motion commands to scanning mirror. The other serves as slave computer, on which scanning mirror motion simulation software runs, is responsible for receiving motion commands to control scanning mirror to finish corresponding movements. This method proposed in this paper adopted semi-physical virtual prototype technology and used real scene image sequence to control virtual 2D scanning mirror and simulates motion of real 2D scanning mirror. It has no need for real scanning mirror and is of important practical significance for debugging controlling software of 2D scanning mirror.
Emerging applications in Defense and Security require sensors with state-of-the-art sensitivity and capabilities. We have developed a compact novel instrument that can not only provide imaging capability, bust also one that provides spectral capability of the field of view (FOV) center under the imaging guided. The absolute radiance accuracy of an instrument is one of its fundamental characteristics. In order to meet the highest radiometric precision and accuracy, we give two specific calibration methods: two-point calibration and multi-point segmentation calibration. This paper presents the results of the analysis of the radiometric calibration of this instrument, with emphasis on the temporal behavior of the instrument response.
Resistor array plays a vital role in emulation of the IR control and guide system. However, its serious nonuniformity confines the range of its application. Therefore, in order to obtain an available IR image, nonuniformity correction (NUC)
is necessary. The traditional method is sparse grid and flood which only take the array’s nonuniformity into account. In
this paper we present an improved sparse grid method which considers the whole system which affects the array’s
nonuniformity by dividing the NUC process into different gray levels. In each gray level, we can take two points or several points to calculate the nonuniformity of every block which is divided before correction. After that, we can have several characteristic curves which will be operated with curve fitting. By this means, we will correct the nonuniformity. At last, through the experiment of a number of images, we find the residual nonuniformity associated with random noise
is about 0.2% after the correction.