| Zhou Qigang（周启刚）,Chen Dan.[J].高技术通讯(英文),2015,21(2):224~230 |
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| Improving wavelet reconstruction algorithm to achieve comprehensiveapplication of thermal infrared remote sensing data from TM and MODIS |
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| DOI：10.3772/j.issn.1006-6748.2015.02.016 |
| 中文关键词: |
| 英文关键词: neighborhood wavelet reconstruction, neighborhood correction coefficient method (NCCM), thematic mapper (TM), MODIS, thermal infrared remote sensing image |
| 基金项目: |
| Author Name | Affiliation | | Zhou Qigang（周启刚） | | | Chen Dan | |
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| 中文摘要: |
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| 英文摘要: |
| According to the data characteristics of Landsat thematic mapper (TM) and MODIS, a new fusion algorithm about thermal infrared data has been proposed in the article based on improving wavelet reconstruction. Under the domain of neighborhood wavelet reconstruction, data of TM and MODIS are divided into three layers using wavelet decomposition. The texture information of TM data is retained by fusing high-frequency information. The neighborhood correction coefficient method (NCCM) is set up based on the search neighborhood of a certain size to fuse low-frequency information. Thermal infrared value of MODIS data is reduced to the space value of TM data by applying NCCM. The data with high spectrum, high spatial and high temporal resolution, are obtained through the algorithm in the paper. Verification results show that the texture information of TM data and high spectral information of MODIS data could be preserved well by the fusion algorithm. This article could provide technical support for high precision and fast extraction of the surface environment parameters. |
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