Acta Optica Sinica, Volume. 41, Issue 16, 1628003(2021)
Remote Sensing Image Restoration Method Based on Lorentz Fitting Point Spread Function
Fig. 2. Defocusing blurred kernel (upper) and its one-dimensional profile (down). (a)(d) Disk model; (b)(e) Airy spot; (c)(f) convolution result
Fig. 3. Estimated actual blurred kernel (right) and its x-axis one-dimensional profile (left). (a)(b) First; (c)(d) second; (e)(f) third
Fig. 6. Evaluation results of different kernels. (a) RMSE values; (b) R-square values
Fig. 9. Detection results of ESF curves. (a)(b) Before interpolation; (c)(d) after interpolation
Fig. 17. Restoration results of house image. (a) Actual blurred image; (b) restoration result in Ref. [20]; (c) restoration result in Ref. [16]; (d) restoration result in Ref. [4]; (e) restoration result here
Fig. 18. Restoration results of track image. (a) Actual blurred image; (b) restoration result in Ref. [20]; (c) restoration result in Ref. [16]; (d) restoration result in Ref. [4]; (e) restoration result here
Fig. 19. Restoration results of harbor image. (a) Actual blurred image; (b) restoration result in Ref. [20]; (c) restoration result in Ref. [16]; (d) restoration result in Ref. [4]; (e) restoration result here
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Guoxing Huang, Yipeng Liu, Hong Peng, Weidang Lu, Jingwen Wang. Remote Sensing Image Restoration Method Based on Lorentz Fitting Point Spread Function[J]. Acta Optica Sinica, 2021, 41(16): 1628003
Category: Remote Sensing and Sensors
Received: Jan. 27, 2021
Accepted: Mar. 18, 2021
Published Online: Aug. 12, 2021
The Author Email: Peng Hong (ph@zjut.edu.cn)