Application of the MAP estimation model to hyperspectral resolution image enhancement

Guangjun Dong; Haifang Zhou; Song Ji

doi:10.1117/12.833977

30 October 2009 Application of the MAP estimation model to hyperspectral resolution image enhancement

Guangjun Dong, Haifang Zhou, Song Ji

Proceedings Volume 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications; 74983L (2009) https://doi.org/10.1117/12.833977
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

This paper makes a study of maximum a posteriori (MAP) estimation method for enhancing the spatial resolution of a hyperspectral image using a higher resolution coincident panchromatic image. Here, the mathematical formulation of the proposed MAP method is described and the detail process step is introduced. Then, enhancement results using PHI hyperspectral image datasets are provided. In general, it is found that the MAP method is able to obtain high-resolution hyperspectral data. Experiment shows that the method is effective while the enhancement for conventional methods, like average estimation, is limited primarily to fuse spectral information.

Citation Download Citation

Guangjun Dong, Haifang Zhou, and Song Ji "Application of the MAP estimation model to hyperspectral resolution image enhancement", Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 74983L (30 October 2009); https://doi.org/10.1117/12.833977

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