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Sensors 2016, 16(7), 1068;

Pansharpening with a Guided Filter Based on Three-Layer Decomposition

School of Resource and Environmental Sciences, Wuhan University, Luoyu Road, Wuhan 430079, China
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Luoyu Road, Wuhan 430079, China
Beijing Advanced Innovation Center for Imaging Technology, Capital Normal University, Beijing 100048, China
Collaborative Innovation Center of Geospatial Technology, Luoyu Road, Wuhan 430079, China
Author to whom correspondence should be addressed.
Academic Editor: Assefa M. Melesse
Received: 12 May 2016 / Revised: 24 June 2016 / Accepted: 5 July 2016 / Published: 12 July 2016
(This article belongs to the Section Remote Sensors)
Full-Text   |   PDF [8837 KB, uploaded 12 July 2016]   |  


State-of-the-art pansharpening methods generally inject the spatial structures of a high spatial resolution (HR) panchromatic (PAN) image into the corresponding low spatial resolution (LR) multispectral (MS) image by an injection model. In this paper, a novel pansharpening method with an edge-preserving guided filter based on three-layer decomposition is proposed. In the proposed method, the PAN image is decomposed into three layers: A strong edge layer, a detail layer, and a low-frequency layer. The edge layer and detail layer are then injected into the MS image by a proportional injection model. In addition, two new quantitative evaluation indices, including the modified correlation coefficient (MCC) and the modified universal image quality index (MUIQI) are developed. The proposed method was tested and verified by IKONOS, QuickBird, and Gaofen (GF)-1 satellite images, and it was compared with several of state-of-the-art pansharpening methods from both qualitative and quantitative aspects. The experimental results confirm the superiority of the proposed method. View Full-Text
Keywords: pansharpening; guided filter; three-layer decomposition; panchromatic (PAN); multispectral (MS) pansharpening; guided filter; three-layer decomposition; panchromatic (PAN); multispectral (MS)

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Meng, X.; Li, J.; Shen, H.; Zhang, L.; Zhang, H. Pansharpening with a Guided Filter Based on Three-Layer Decomposition. Sensors 2016, 16, 1068.

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