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Journal of Applied Remote Sensing

Single remote sensing image scale-up combining modulation transform function compensation
Author(s): Shixiang Cao; Wei Liu; Nan Zhou; Hongyan He; Jie Jiang
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Paper 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.

Paper Details

Date Published: 18 March 2016
PDF: 15 pages
J. Appl. Remote Sens. 10(1) 015020 doi: 10.1117/1.JRS.10.015020
Published in: Journal of Applied Remote Sensing Volume 10, Issue 1
Show Author Affiliations
Shixiang Cao, Beijing Institute of Space Mechanics and Electricity (China)
Wei Liu, Beijing Institute of Space Mechanics and Electricity (China)
Nan Zhou, Beijing Institute of Space Mechanics and Electricity (China)
Hongyan He, Beijing Institute of Space Mechanics and Electricity (China)
Jie Jiang, BeiHang Univ. (China)


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