多源遥感数据融合方法探讨

Fusion method for multi-source remotely sensed data

研究了基于IHS变换和多分辨率小波分析的叠加融合方法,并提出了改进的叠加融合方法,其基本做法是保持多光谱(低空间分辨率)遥感影像I分量小波分解后的低频信息不变,将高空间分辨率遥感影像小波分解后的高频信息叠加到多光谱I分量小波分解后的高频信息上,而后对叠加后的I分量进行小波逆变换得到I′,最后对I′HS进行IHS逆变换得到融合后的多光谱影像。融合实验结果证明,改进后的叠加融合方法不仅提高了多光谱影像的空间分辨率,而且在保持多光谱影像的光谱特性等方面相对于改进前具有更大的优越性。

The additive fusion technique based on IHS and wavelet transform is discussed, and an improved additive fusion technique is put forward. Firstly the high frequency of the high resolution is added to the high frequency of the intensity from the multi-spectral image, while maintaining the low frequency of intensity from the multi-spectral image, secondly, the new intensity (I′)is acquired by making the inverse wavelet transform, finally the fusion result is gained by making the inverse I′HS transform. The fusion test proves that the improved additive fusion technique is much more accurate in maintaining the characteristics of the multi-spectral image.