| 基于光谱复原的高光谱高空间遥感数据融合研究 |
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| 引用本文： | 邵军勇,潘泉. 基于光谱复原的高光谱高空间遥感数据融合研究[J]. 微电子学与计算机, 2005, 22(8): 108-109,113 |
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| 作者姓名： | 邵军勇 潘泉 |
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| 作者单位： | 西北工业大学自动化学院,陕西,西安,710072 |
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| 摘 要： | 文章提出了基于图像光谱复原的空间域遥感数据融合模型(SFSR),不仅大大提高了融合后各波段图像空间分辨率,而且保持融合后多光谱或成像光谱图像数据光谱特性不变.这对融合后遥感数据多光谱特性分析和基于光谱波形特征的计算机自动分类都是至关重要的.
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| 关 键 词： | 遥感数据融合 光谱复原 空间域变换 |
| 文章编号： | 1000-7180（2005）08-108-02 |
| 收稿时间： | 2005-06-08 |
| 修稿时间： | 2005-06-08 |
The Study on Remote-Sense Data Fusion of Hyperspectral and High Spatial Based on Spectrum Reconstruction |
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| SHAO Jun-yong,PAN Quan. The Study on Remote-Sense Data Fusion of Hyperspectral and High Spatial Based on Spectrum Reconstruction[J]. Microelectronics & Computer, 2005, 22(8): 108-109,113 |
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| Authors: | SHAO Jun-yong PAN Quan |
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| Abstract: | The spatial fusion based spectral reversion (SFSR) is put forward in this paper, SFSR model not only raise the image spatial resolution of each band after fusion greatly,but keep the spectral characteristics of multispectral or imaging spectrum image data unchange after fusion. This is very important for multispectral characteristics analysis of remote-sense data after fusion and computer automatic classification based spectrum waveform characteristics. |
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| Keywords: | Remote-sense data fusion Spectrum reconstruction Space field transformation |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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