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https://hdl.handle.net/10356/85573
Title: | Guided image filtering-based pan-sharpening method : a case study of GaoFen-2 imagery | Authors: | Zheng, Yalan Dai, Qinling Tu, Zhigang Wang, Leiguang |
Keywords: | Remote Sensing Image Fusion |
Issue Date: | 2017 | Source: | Zheng, Y., Dai, Q., Tu, Z., & Wang, L. (2017). Guided image filtering-based pan-sharpening method : a case study of GaoFen-2 imagery. ISPRS International Journal of Geo-Information, 6(12), 404-. | Series/Report no.: | ISPRS International Journal of Geo-Information | Abstract: | 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. | URI: | https://hdl.handle.net/10356/85573 http://hdl.handle.net/10220/45192 |
ISSN: | 2220-9964 | DOI: | 10.3390/ijgi6120404 | Schools: | School of Electrical and Electronic Engineering | Rights: | © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
Appears in Collections: | EEE Journal Articles |
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Guided Image Filtering-Based Pan-Sharpening Method-A Case Study of GaoFen-2 Imagery.pdf | 8.93 MB | Adobe PDF | View/Open |
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