Abstract
To realize the application of super-resolution technology from theory to practice, and to improve microsatellite spatial resolution, we propose a special super-resolution algorithm based on the multi-modality super-CMOS sensor which can adapt to the limited operation capacity of microsatellite computers. First, we designed an oblique sampling mode with the sensor rotated at an angle of to obtain high overlap ratio images with sub-pixel displacement. Secondly, the proposed super-resolution algorithm was applied to reconstruct the final high-resolution image. Because the satellite equipped with this sensor is scheduled to be launched this year, we also designed the simulation mode of conventional sampling and the oblique sampling of the sensor to obtain the comparison and experimental data. Lastly, we evaluated the super-resolution quality of images, the effectiveness, the practicality, and the efficiency of the algorithm. The results of the experiments showed that the satellite-using super-resolution algorithm combined with multi-modality super-CMOS sensor oblique-mode sampling can increase the spatial resolution of an image by about 2 times. The algorithm is simple and highly efficient, and can realize the super-resolution reconstruction of two remote-sensing images within 0.713 s, which has good performance on the microsatellite.
Highlights
Since the 20th century, issues such as resources, environment, disasters, and national security have become the main problems in the development of human society
For the software algorithm, which is based on the sub-pixel super-resolution theories, we proposed a special super-resolution algorithm using MS-CMOS data which can adapt to the limited operation capacity of microsatellite computers
A simple and efficient microsatellite-using SR algorithm is proposed for multi-modality super-CMOS sensor
Summary
Since the 20th century, issues such as resources, environment, disasters, and national security have become the main problems in the development of human society. As one of the important means to solve these problems, space-to-earth observation technology has received much more attention from all countries, which has promoted the rapid development of aerospace and remote-sensing technology. At present, refined remote sensing has become the main direction of the development of the current remote-sensing field. There are mainly two ways to improve satellite image resolution. One is known as the “hardware way”. Since 1970, CCD (Charge-coupled Device) and CMOS
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