Abstract
Quick-view system plays an indispensable row in space exploration and earth observation. Currently, the remote sensing quick-view system of our country only has quick display and store abilities. The motion-blurred remote sensing images would not be restored. This paper centers on image restoration in remote sensing quick-view systems. Through calculating the two-level screw target matching image, the ratio of power spectrum density could be estimated quickly. Then Wiener filtering method is implemented to restore blurred images. To restrain the ringing artifact in quick-view system, different weights are introduced on the edge of the target when implementing Wiener filter. Experiments indicate that the optimized image restoration method can obtain relatively gratifying remote sensing data restorative results and treatment period, which might satisfy the requirement of real time display in remote sensing quick-view system.
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Wang, Y., Ma, C., Cui, W., Liu, J., Kang, Y. (2023). Research on Image Restoration in Remote Sensing Quick-View System. In: Sun, J., Wang, Y., Huo, M., Xu, L. (eds) Signal and Information Processing, Networking and Computers. Lecture Notes in Electrical Engineering, vol 917. Springer, Singapore. https://doi.org/10.1007/978-981-19-3387-5_88
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DOI: https://doi.org/10.1007/978-981-19-3387-5_88
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