Image and Signal Processing Methods

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

[+] Author Affiliations
Shixiang Cao, Wei Liu, Nan Zhou, Hongyan He

Beijing Institute of Space Mechanics & Electricity, Youyi Road 102, Beijing 100094, China

Jie Jiang

Beihang University, School of Instrumental Science and Opto-Electronics Engineering, Xueyuan Road 37, Beijing 100191, China

J. Appl. Remote Sens. 10(1), 015020 (Mar 18, 2016). doi:10.1117/1.JRS.10.015020
History: Received September 2, 2015; Accepted February 24, 2016
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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.

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© 2016 Society of Photo-Optical Instrumentation Engineers

Citation

Shixiang Cao ; Wei Liu ; Nan Zhou ; Hongyan He and Jie Jiang
"Single remote sensing image scale-up combining modulation transform function compensation", J. Appl. Remote Sens. 10(1), 015020 (Mar 18, 2016). ; http://dx.doi.org/10.1117/1.JRS.10.015020


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