Single remote sensing image scale-up combining modulation transform function compensation

Shixiang Cao; Wei Liu; Nan Zhou; Hongyan He; Jie Jiang

doi:10.1117/1.JRS.10.015020

18 March 2016 Single remote sensing image scale-up combining modulation transform function compensation

Shixiang Cao, Wei Liu, Nan Zhou, Hongyan He, Jie Jiang

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 10, Issue 1, 015020 (March 2016). https://doi.org/10.1117/1.JRS.10.015020

Abstract

Remote sensing images usually need scale-up for visualization or representation, using only one original image. According to the performance of detective sensors, a new and more applicable method is proposed here. To enhance the high-frequency components, the modulation transform function compensation (MTFC) part focuses on how to adjust the spatial response before and after launch, under signal-to-noise ratio control. This largely reduces the ring phenomenon from incorrect point spread function guesses. Then a contour stencil prior manages to limit edge artifacts in the upscaled image after MTFC. An iterative backprojection operation with fast convergence is also utilized to bring about intensity and contour consistency. We finally present our analysis based on real images with parallel design for full speed. Compared with existing algorithms, the operator illustrates its potential to keep geometric features and extend the visual and quantitative quality for further analysis.

Citation Download Citation

Shixiang Cao, Wei Liu, Nan Zhou, Hongyan He, and Jie Jiang "Single remote sensing image scale-up combining modulation transform function compensation," Journal of Applied Remote Sensing 10(1), 015020 (18 March 2016). https://doi.org/10.1117/1.JRS.10.015020

Published: 18 March 2016

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