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Guided Image Filtering-Based Pan-Sharpening Method: A Case Study of GaoFen-2 Imagery

Faculty of Forestry, Southwest Forestry University, Kunming 650224, China
School of Printing and Packaging, Wuhan University, Wuhan 430079, China
Faculty of Design, Southwest Forestry University, Kunming 650224, China
School of Electrical and Electronic, Nanyang Technological University, Singapore 637553, Singapore
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2017, 6(12), 404;
Received: 13 September 2017 / Revised: 5 December 2017 / Accepted: 7 December 2017 / Published: 12 December 2017
PDF [8933 KB, uploaded 12 December 2017]


GaoFen-2 (GF-2) is a civilian optical satellite self-developed by China equipped with both multispectral and panchromatic sensors, and is the first satellite in China with a resolution below 1 m. Because the pan-sharpening methods on GF-2 imagery have not been a focus of previous works, we propose a novel pan-sharpening method based on guided image filtering and compare the performance to state-of-the-art methods on GF-2 images. Guided image filtering was introduced to decompose and transfer the details and structures from the original panchromatic and multispectral bands. Thereafter, an adaptive model that considers the local spectral relationship was designed to properly inject spatial information back into the original spectral bands. Four pairs of GF-2 images acquired from urban, water body, cropland, and forest areas were selected for the experiments. Both quantitative and visual inspections were used for the assessment. The experimental results demonstrated that for GF-2 imagery acquired over different scenes, the proposed approach consistently achieves high spectral fidelity and enhances spatial details, thereby benefitting the potential classification procedures. View Full-Text
Keywords: remote sensing; image fusion; guided filtering; GF-2 imagery remote sensing; image fusion; guided filtering; GF-2 imagery

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Zheng, Y.; Dai, Q.; Tu, Z.; Wang, L. Guided Image Filtering-Based Pan-Sharpening Method: A Case Study of GaoFen-2 Imagery. ISPRS Int. J. Geo-Inf. 2017, 6, 404.

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