Spatial Resolution Enhancement for Hyperspectral Image Based on Wavelet Bayesian Fusion
The fusion of multispectral (MS) and hyperspectral (HS) images to enhance the spatial resolution of the latter is considered in this paper, and a Bayesian estimation based fusion technique is proposed. The technique works in the wavelet domain, assuming a joint normal model for the images and a blurring and additive noise imaging model for the HS image. To keep the calculation feasible, an appropriately simplified estimation strategy is also proposed. In the simulated experiment, the technique is validated and also compared to its counterpart in the image domain.
Yifan Zhang
Shaanxi Key Laboratory of Information Acquisition and Processing School of Electronics and Information Northwestern Polytechnical University, Xian 710072, P. R. China
国际会议
2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)
上海
英文
1700-1704
2011-10-15（万方平台首次上网日期，不代表论文的发表时间）