Hyperspectral Resolution Enhancement Using High-resolution Multispectral Imagery with Arbitrary Response Functions
Document Type
Article
Publication Date
2-2005
Publication Source
IEEE Transactions on Geoscience and Remote Sensing
Abstract
A maximum a posteriori (MAP) estimation method for improving the spatial resolution of a hyperspectral image using a higher resolution auxiliary image is extended to address several practical remote sensing situations. These include cases where: 1) the spectral response of the auxiliary image is unknown and does not match that of the hyperspectral image; 2) the auxiliary image is multispectral; and 3) the spatial point spread function for the hyperspectral sensor is arbitrary and extends beyond the span of the detector elements. The research presented follows a previously reported MAP approach that makes use of a stochastic mixing model (SMM) of the underlying spectral scene content to achieve resolution enhancement beyond the intensity component of the hyperspectral image. The mathematical formulation of a generalized form of the MAP/SMM estimate is described, and the enhancement algorithm is demonstrated using various image datasets.
Inclusive pages
455 - 465
ISBN/ISSN
0196-2892
Publisher
IEEE: Institute of Electrical and Electronics Engineers
Volume
43
Peer Reviewed
yes
Issue
3
eCommons Citation
Eismann, Michael T. and Hardie, Russell C., "Hyperspectral Resolution Enhancement Using High-resolution Multispectral Imagery with Arbitrary Response Functions" (2005). Electrical and Computer Engineering Faculty Publications. 72.
https://ecommons.udayton.edu/ece_fac_pub/72
COinS
