Assessment of Pansharpening Methods Applied to WorldView-2 Imagery Fusion
Since WorldView-2 (WV-2) images are widely used in various fields, there is a high demand for the use of high-quality pansharpened WV-2 images for different application purposes. With respect to the novelty of the WV-2 multispectral (MS) and panchromatic (PAN) bands, the performances of eight state-...
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MDPI AG
2017-01-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/17/1/89 |
| _version_ | 1828353815945936896 |
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| author | Hui Li Linhai Jing Yunwei Tang |
| author_facet | Hui Li Linhai Jing Yunwei Tang |
| author_sort | Hui Li |
| collection | DOAJ |
| description | Since WorldView-2 (WV-2) images are widely used in various fields, there is a high demand for the use of high-quality pansharpened WV-2 images for different application purposes. With respect to the novelty of the WV-2 multispectral (MS) and panchromatic (PAN) bands, the performances of eight state-of-art pan-sharpening methods for WV-2 imagery including six datasets from three WV-2 scenes were assessed in this study using both quality indices and information indices, along with visual inspection. The normalized difference vegetation index, normalized difference water index, and morphological building index, which are widely used in applications related to land cover classification, the extraction of vegetation areas, buildings, and water bodies, were employed in this work to evaluate the performance of different pansharpening methods in terms of information presentation ability. The experimental results show that the Haze- and Ratio-based, adaptive Gram-Schmidt, Generalized Laplacian pyramids (GLP) methods using enhanced spectral distortion minimal model and enhanced context-based decision model methods are good choices for producing fused WV-2 images used for image interpretation and the extraction of urban buildings. The two GLP-based methods are better choices than the other methods, if the fused images will be used for applications related to vegetation and water-bodies. |
| first_indexed | 2024-04-14T02:13:52Z |
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| id | doaj.art-05fbd4f16a334470afcbf82c2c0af829 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-14T02:13:52Z |
| publishDate | 2017-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-05fbd4f16a334470afcbf82c2c0af8292022-12-22T02:18:16ZengMDPI AGSensors1424-82202017-01-011718910.3390/s17010089s17010089Assessment of Pansharpening Methods Applied to WorldView-2 Imagery FusionHui Li0Linhai Jing1Yunwei Tang2Key Laborary of Digital Earth Sciences, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, ChinaKey Laborary of Digital Earth Sciences, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, ChinaKey Laborary of Digital Earth Sciences, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, ChinaSince WorldView-2 (WV-2) images are widely used in various fields, there is a high demand for the use of high-quality pansharpened WV-2 images for different application purposes. With respect to the novelty of the WV-2 multispectral (MS) and panchromatic (PAN) bands, the performances of eight state-of-art pan-sharpening methods for WV-2 imagery including six datasets from three WV-2 scenes were assessed in this study using both quality indices and information indices, along with visual inspection. The normalized difference vegetation index, normalized difference water index, and morphological building index, which are widely used in applications related to land cover classification, the extraction of vegetation areas, buildings, and water bodies, were employed in this work to evaluate the performance of different pansharpening methods in terms of information presentation ability. The experimental results show that the Haze- and Ratio-based, adaptive Gram-Schmidt, Generalized Laplacian pyramids (GLP) methods using enhanced spectral distortion minimal model and enhanced context-based decision model methods are good choices for producing fused WV-2 images used for image interpretation and the extraction of urban buildings. The two GLP-based methods are better choices than the other methods, if the fused images will be used for applications related to vegetation and water-bodies.http://www.mdpi.com/1424-8220/17/1/89pansharpeningWorldView-2quality indicesinformation indices |
| spellingShingle | Hui Li Linhai Jing Yunwei Tang Assessment of Pansharpening Methods Applied to WorldView-2 Imagery Fusion Sensors pansharpening WorldView-2 quality indices information indices |
| title | Assessment of Pansharpening Methods Applied to WorldView-2 Imagery Fusion |
| title_full | Assessment of Pansharpening Methods Applied to WorldView-2 Imagery Fusion |
| title_fullStr | Assessment of Pansharpening Methods Applied to WorldView-2 Imagery Fusion |
| title_full_unstemmed | Assessment of Pansharpening Methods Applied to WorldView-2 Imagery Fusion |
| title_short | Assessment of Pansharpening Methods Applied to WorldView-2 Imagery Fusion |
| title_sort | assessment of pansharpening methods applied to worldview 2 imagery fusion |
| topic | pansharpening WorldView-2 quality indices information indices |
| url | http://www.mdpi.com/1424-8220/17/1/89 |
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