Title

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

Issue

3

Peer Reviewed

yes