IMAGE FUSION AND IMAGE QUALITY ASSESSMENT OF FUSED IMAGES
It is of great value to fuse a high-resolution panchromatic image and low-resolution multi-spectral images for object recognition. In the paper, tow frames of remotely sensed imagery, including ZY03 and SPOT05, are selected as the source data. Four fusion methods, including Brovey, PCA, Pansharp, an...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2013-07-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-7-W1/33/2013/isprsarchives-XL-7-W1-33-2013.pdf |
| _version_ | 1818527356781854720 |
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| author | Z. Han X. Tang X. Gao F. Hu |
| author_facet | Z. Han X. Tang X. Gao F. Hu |
| author_sort | Z. Han |
| collection | DOAJ |
| description | It is of great value to fuse a high-resolution panchromatic image and low-resolution multi-spectral images for object recognition. In the
paper, tow frames of remotely sensed imagery, including ZY03 and SPOT05, are selected as the source data. Four fusion methods,
including Brovey, PCA, Pansharp, and SFIM, are used to fuse the images of multispectral bands and panchromatic band. Three
quantitative indicators were calculated and analyzed, that is, gradient, correlation coefficient and deviation. According to
comprehensive evaluation and comparison, the best effect is SFIM transformation, combined with fusion image through four
transformation methods. |
| first_indexed | 2024-12-11T06:35:03Z |
| format | Article |
| id | doaj.art-8f7f63f343484b8f843ad852c6fed270 |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-12-11T06:35:03Z |
| publishDate | 2013-07-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-8f7f63f343484b8f843ad852c6fed2702022-12-22T01:17:24ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342013-07-01XL-7/W1333610.5194/isprsarchives-XL-7-W1-33-2013IMAGE FUSION AND IMAGE QUALITY ASSESSMENT OF FUSED IMAGESZ. Han0X. Tang1X. Gao2F. Hu3School of Mapping And Geographic Information Systems, Lanzhou Jiao Tong University, ChinaSatellite Surveying and Mapping Application Centre, NASG, ChinaSatellite Surveying and Mapping Application Centre, NASG, ChinaSatellite Surveying and Mapping Application Centre, NASG, ChinaIt is of great value to fuse a high-resolution panchromatic image and low-resolution multi-spectral images for object recognition. In the paper, tow frames of remotely sensed imagery, including ZY03 and SPOT05, are selected as the source data. Four fusion methods, including Brovey, PCA, Pansharp, and SFIM, are used to fuse the images of multispectral bands and panchromatic band. Three quantitative indicators were calculated and analyzed, that is, gradient, correlation coefficient and deviation. According to comprehensive evaluation and comparison, the best effect is SFIM transformation, combined with fusion image through four transformation methods.http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-7-W1/33/2013/isprsarchives-XL-7-W1-33-2013.pdf |
| spellingShingle | Z. Han X. Tang X. Gao F. Hu IMAGE FUSION AND IMAGE QUALITY ASSESSMENT OF FUSED IMAGES The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | IMAGE FUSION AND IMAGE QUALITY ASSESSMENT OF FUSED IMAGES |
| title_full | IMAGE FUSION AND IMAGE QUALITY ASSESSMENT OF FUSED IMAGES |
| title_fullStr | IMAGE FUSION AND IMAGE QUALITY ASSESSMENT OF FUSED IMAGES |
| title_full_unstemmed | IMAGE FUSION AND IMAGE QUALITY ASSESSMENT OF FUSED IMAGES |
| title_short | IMAGE FUSION AND IMAGE QUALITY ASSESSMENT OF FUSED IMAGES |
| title_sort | image fusion and image quality assessment of fused images |
| url | http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-7-W1/33/2013/isprsarchives-XL-7-W1-33-2013.pdf |
| work_keys_str_mv | AT zhan imagefusionandimagequalityassessmentoffusedimages AT xtang imagefusionandimagequalityassessmentoffusedimages AT xgao imagefusionandimagequalityassessmentoffusedimages AT fhu imagefusionandimagequalityassessmentoffusedimages |