Direct Fusion of Geostationary Meteorological Satellite Visible and Infrared Images Based on Thermal Physical Properties
This study investigated a novel method of fusing visible (VIS) and infrared (IR) images with the major objective of obtaining higher-resolution IR images. Most existing image fusion methods focus only on visual performance and many fail to consider the thermal physical properties of the IR images, l...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2015-01-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/15/1/703 |
| _version_ | 1811302072316854272 |
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| author | Lei Han Buzha Wulie Yiling Yang Hongqing Wang |
| author_facet | Lei Han Buzha Wulie Yiling Yang Hongqing Wang |
| author_sort | Lei Han |
| collection | DOAJ |
| description | This study investigated a novel method of fusing visible (VIS) and infrared (IR) images with the major objective of obtaining higher-resolution IR images. Most existing image fusion methods focus only on visual performance and many fail to consider the thermal physical properties of the IR images, leading to spectral distortion in the fused image. In this study, we use the IR thermal physical property to correct the VIS image directly. Specifically, the Stefan-Boltzmann Law is used as a strong constraint to modulate the VIS image, such that the fused result shows a similar level of regional thermal energy as the original IR image, while preserving the high-resolution structural features from the VIS image. This method is an improvement over our previous study, which required VIS-IR multi-wavelet fusion before the same correction method was applied. The results of experiments show that applying this correction to the VIS image directly without multi-resolution analysis (MRA) processing achieves similar results, but is considerably more computationally efficient, thereby providing a new perspective on VIS and IR image fusion. |
| first_indexed | 2024-04-13T07:21:21Z |
| format | Article |
| id | doaj.art-9de65b0db71a44c9996c2edf0535cae0 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-13T07:21:21Z |
| publishDate | 2015-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-9de65b0db71a44c9996c2edf0535cae02022-12-22T02:56:37ZengMDPI AGSensors1424-82202015-01-0115170371410.3390/s150100703s150100703Direct Fusion of Geostationary Meteorological Satellite Visible and Infrared Images Based on Thermal Physical PropertiesLei Han0Buzha Wulie1Yiling Yang2Hongqing Wang3School of Information Science and Engineering, Ocean University of China, 238 Songling Road, Qingdao 266100, ChinaSchool of Information Science and Engineering, Ocean University of China, 238 Songling Road, Qingdao 266100, ChinaSchool of Information Science and Engineering, Ocean University of China, 238 Songling Road, Qingdao 266100, ChinaDepartment of Atmospheric and Oceanic Science, Peking University, Beijing 100871, ChinaThis study investigated a novel method of fusing visible (VIS) and infrared (IR) images with the major objective of obtaining higher-resolution IR images. Most existing image fusion methods focus only on visual performance and many fail to consider the thermal physical properties of the IR images, leading to spectral distortion in the fused image. In this study, we use the IR thermal physical property to correct the VIS image directly. Specifically, the Stefan-Boltzmann Law is used as a strong constraint to modulate the VIS image, such that the fused result shows a similar level of regional thermal energy as the original IR image, while preserving the high-resolution structural features from the VIS image. This method is an improvement over our previous study, which required VIS-IR multi-wavelet fusion before the same correction method was applied. The results of experiments show that applying this correction to the VIS image directly without multi-resolution analysis (MRA) processing achieves similar results, but is considerably more computationally efficient, thereby providing a new perspective on VIS and IR image fusion.http://www.mdpi.com/1424-8220/15/1/703geostationary satellitefusioninfrared imagevisible image |
| spellingShingle | Lei Han Buzha Wulie Yiling Yang Hongqing Wang Direct Fusion of Geostationary Meteorological Satellite Visible and Infrared Images Based on Thermal Physical Properties Sensors geostationary satellite fusion infrared image visible image |
| title | Direct Fusion of Geostationary Meteorological Satellite Visible and Infrared Images Based on Thermal Physical Properties |
| title_full | Direct Fusion of Geostationary Meteorological Satellite Visible and Infrared Images Based on Thermal Physical Properties |
| title_fullStr | Direct Fusion of Geostationary Meteorological Satellite Visible and Infrared Images Based on Thermal Physical Properties |
| title_full_unstemmed | Direct Fusion of Geostationary Meteorological Satellite Visible and Infrared Images Based on Thermal Physical Properties |
| title_short | Direct Fusion of Geostationary Meteorological Satellite Visible and Infrared Images Based on Thermal Physical Properties |
| title_sort | direct fusion of geostationary meteorological satellite visible and infrared images based on thermal physical properties |
| topic | geostationary satellite fusion infrared image visible image |
| url | http://www.mdpi.com/1424-8220/15/1/703 |
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