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Proceedings Paper

Application of the MAP estimation model to hyperspectral resolution image enhancement
Author(s): Guangjun Dong; Haifang Zhou; Song Ji
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Paper 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.

Paper Details

Date Published: 30 October 2009
PDF: 7 pages
Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 74983L (30 October 2009); doi: 10.1117/12.833977
Show Author Affiliations
Guangjun Dong, Institute of Surveying and Mapping (China)
Haifang Zhou, National Univ. of Defence Technology (China)
Song Ji, Institute of Surveying and Mapping (China)

Published in SPIE Proceedings Vol. 7498:
MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications
Faxiong Zhang; Faxiong Zhang, Editor(s)

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