A non-uniformity correction method for space-borne multichannel large array CMOS remote sensing camera based on image

Abstract

The large array multichannel detector itself has the problems of inconsistent dark current and uneven response between various channels, and after geometric splicing, the image output uniformity between multiple detectors is lower, which is difficult to meet the requirements of further image processing such as target recognition, early warning, tracking, prospection and so on. This paper researches the output image uniformity of multichannel large array detectors after splicing based on the integrating sphere radiometric calibration system, aiming at the problems of high difficulty in real-time imaging correction of space multichannel large array camera and the storage capacity of correction coefficient per pixel limited by hardware, a multichannel large array image uniformity adjustment approach applied to space camera is proposed. Firstly, the dark current correction is carried out to make the detector response consistent under the condition of full darkness. Then the edges of image points in adjacent boundary regions are fitted, and the correction coefficient is obtained. Finally, the correction coefficient is modified according to the saturation value of detector response. This approach significantly improves the uniformity and continuity of large array multichannel spatial remote sensing camera images, which provides the basic guarantee for subsequent image processing such as target recognition and tracking to improve the sensitivity and reduce the false alarm rate. This approach has few correction coefficients, small storage capacity and low hardware implementation difficulty. It has important reference significance for improving output uniformity of stitched focal plane images of large field of view space remote sensing cameras.

Single-Frame Infrared Image Non-Uniformity Correction Based on Wavelet Domain Noise Separation

“…This innovative algorithm leverages temporal variations in measurements of multiple camera temperatures to mitigate parameter perturbations induced by heating. Furthermore, based on this calibration model, a multitude of real-time non-uniformity correction systems implemented in hardware have been devised [30]. However, these methods, reliant on stable or slow-changing working environments, still fail to prevent parameter drift after prolonged continuous operation, necessitating recalibration that interrupts the normal functioning of the equipment.…”