GF-4 Images Super Resolution Reconstruction Based on POCS

doi:10.11947/j.AGCS.2017.20170070

Abstract

Abstract: The super resolution reconstruction of GF-4 is made by projection on convex sets (POCS). Papoulis-Gerchberg is used to construct reference frame which can reduce iteration and improve algorithm efficiency.Vandewalle is used to estimate motion parameter which is benefit to block process. Tested and analyzed by real GF-4 series images, it shows that sharpness of super resolution result is positive correlatie to frame amount, and signal to noise ratio (SNR) is negative correlate to frame amount. After processing by 5 frames, information entropy (IE) changes little; sharpness (average gradient) increases from 7.803 to 14.386; SNR reduces a little, from 3.411 to 3.336. The experiment shows that after super resolution reconstruction, sharpness and detail information of results can be greatly improved.

Key words: GF-4, super resolution, POCS, Papoulis-Gerchberg, Vandewalle

CLC Number:

P237

XU Lina, HE Luxiao. GF-4 Images Super Resolution Reconstruction Based on POCS[J]. Acta Geodaetica et Cartographica Sinica, 2017, 46(8): 1026-1033.

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