With the rapid development of space cameras and remote-sensing application technology, photoelectric sensor of the remote sensing satellite have evolved from the single-spectral, single type, single focal plane to the multi-spectral, multi-type, multi-focal plane integration direction. At present, the manufacturing process of the infrared detector has a larger improvement, but compared to the CCD device, the resolution is still low. In order to improve the resolution of infrared imaging systems, infrared imaging system using jointing multi-focal plane array can increase the resolution of infrared imaging systems. At present, remote sensing satellite equipped with a visible light detector and infrared detector, and design of multi-spectral, multi-type, multi-focal plane imaging circuit has become a new challenge. For multi-spectral, multi-, multi-focal plane imaging characteristics of the circuit system, this paper analysis and design of the FPGA signal processing circuit for multi-spectral, multi-focal plane jointing infrared imaging system, which includes time base correction circuit, infrared detector timing control circuit, multi-channel analog signal delay correction circuit, multi-channel uncertainty calibration circuit, average filtering of over-sampling circuit, multi-channel image data reading and correction circuit. Details the various parts of the design ideas and methods, design, simulation and testing. The test results show that the design is correct and feasible to meet the design requirements.
The non-uniformity correction of linear Charge-Coupled Devices (CCD) remote camera is essential to gain high quality
image. In this paper, a novel Pixel-Response Non-Uniformity (PRNU) correction algorithm is proposed. The
disadvantages of traditional correction algorithm, which is the output of dark pixel does not really reflect the current dark
current when CCD is partial saturation, is overcome. Secondly, the flat fielding algorithm is improved. The correction
algorithm is divided into two independent components based on the mechanism of PRNU, which are dark current noise
and its non-uniformity and photoelectricity non-uniformity. Finally, the digital gain function is introduced. The
experimental results show that the proposed algorithm can eliminate the image degradation caused by dark current noise
and its non-uniformity and photoelectricity non-uniformity. The performance of imaging system is improved.