Image and Signal Processing Methods

Gradient transferred pansharpening method based on cosparse analysis model

[+] Author Affiliations
Chang Han

Huazhong University of Science and Technology, School of Automation, National Key Laboratory of Science and Technology on Multispectral Information Processing, Wuhan, China

Wuhan Business University, Department of Mechatronics Engineering, Wuhan, China

Wuhan University, The State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan, China

Nong Sang

Huazhong University of Science and Technology, School of Automation, National Key Laboratory of Science and Technology on Multispectral Information Processing, Wuhan, China

Hongyan Zhang, Liangpei Zhang

Wuhan University, The State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan, China

J. Appl. Remote Sens. 11(2), 025009 (May 11, 2017). doi:10.1117/1.JRS.11.025009
History: Received July 16, 2016; Accepted April 18, 2017
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Abstract.  The remote sensing image pansharpening problem under cosparse analysis framework is addressed. To preserve the spatial information of the high-resolution (HR) panchromatic (PAN) image, a gradient transfer strategy is proposed by introducing a gradient consistency constraint to the cosparse analysis-based remote sensing image pansharpening model. Thus, by learning the image gradient information from the HR PAN image, the spatial details of the fused image can be effectively enhanced. In the proposed method, to save running time, the cosparse analysis operator is trained offline in advance with a set of training samples. Both simulated and full-scale, real-data experiments were conducted, and the experimental results confirm that the proposed method outperforms the state-of-the-art remote sensing image fusion methods, in terms of both the visual evaluation and quantitative measurements.

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© 2017 Society of Photo-Optical Instrumentation Engineers

Citation

Chang Han ; Nong Sang ; Hongyan Zhang and Liangpei Zhang
"Gradient transferred pansharpening method based on cosparse analysis model", J. Appl. Remote Sens. 11(2), 025009 (May 11, 2017). ; http://dx.doi.org/10.1117/1.JRS.11.025009


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