| 利用融合方法提升WorldVeiw短波红外影像分辨率 |
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| 引用本文： | 赵展,卢莹,夏旺,闫利.利用融合方法提升WorldVeiw短波红外影像分辨率[J].测绘通报,2017(12):16-20. |
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| 作者姓名： | 赵展 卢莹 夏旺 闫利 |
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| 作者单位： | 武汉大学测绘学院,湖北武汉,430079 |
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| 基金项目： | 国土资源部公益性行业科研专项经费 |
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| 摘 要： | WorldView卫星在8个可见光-近红外多光谱波段的基础上,新增加的8个短波红外(简称SWIR)影像,大大提高了地物信息提取能力.但短波红外影像分辨率与多光谱影像相比分辨率过低,影响应用效果.本文提出了一种结合主分量变换和非下采样小波变换的影像融合方法来提升WorldView短波红外影像的空间分辨率.定量指标和目视评价证明本文提出的融合方法具有较好的融合效果,能够在显著提升短波红外影像空间分辨率的同时很好地保持原始光谱特性.
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| 关 键 词： | 影像融合 短波红外影像 小波变换 主分量变换 |
Improving Spatial Resolution of WorldView SWIR Imagery Based on Image Fusion |
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| Abstract: | A new short wave infrared sensor ,which can provide eight bands of SWIR imagery ,is carried in the WorldView satellite ,in addition to previous visible and near-infrared sensor that can acquire eight bands of visible and near-infrared imagery .But the spatial resolution of SWIR imagery is much lower than multispectral imagery , which affects its application .A new image fusion method based on non-subsampled wavelet transform and principal component transform is presented for improving the spatial resolution of SWIR imagery . The experiment shows the mothed can gain good fusion image, with spatial resolution significantly improved and original spectral property well maintained ,in terms of visual observation and quantitative measures. |
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| Keywords: | image fusion short wave infrared image wavelet transformation principal component transformation |
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