基于光谱复原的高光谱高空间遥感数据融合研究

The Study on Remote-Sense Data Fusion of Hyperspectral and High Spatial Based on Spectrum Reconstruction

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。

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 muhispectral or imaging spectrum image data unchange after fusion. This is very important for muhispectral characteristics analysis of remote-sense data after fusion and computer automatic classification based spectrum waveform characteristics.