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ISSN: 2333-9721
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红外  2009 

Fusion of Remotely Sensed Image Based on Least Absolute Deviation
基于最小一乘的遥感图像融合

Keywords: remote sensing,image fusion,linear regression,modulation coefficient of spatial detail
遥感
,图像融合,线性回归,空间细节调制参数

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Abstract:

Image fusion based on the linear relationship between panchromatic and multispectral data is feasible and widely used for the fusion of remotely sensed images.The GS method is analyzed by using a GCOS model.It is found that the GS method can estimate the linear relationship through least squared regression.Since the least absolute deviation is more robust than the least square,it is expected that the fusion method based on the least absolute deviation is better than the least square in performance. A novel ...

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