Name
Title | ||
|---|---|---|
Hyperspectral resolution enhancement using high-resolution multispectral imagery with arbitrary response functions |
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. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/TGRS.2004.837324 | Geoscience and Remote Sensing, IEEE Transactions |
Keywords | Field | DocType |
geophysical signal processing,geophysical techniques,image enhancement,image resolution,maximum likelihood estimation,multidimensional signal processing,remote sensing,stochastic processes,arbitrary response functions,auxiliary image,conjugate direction method,detector elements,gradient search optimization,hyperspectral image,hyperspectral resolution enhancement,hyperspectral sensor,maximum a posteriori estimation,multispectral image,multispectral imagery,remote sensing,spatial point spread function,spatial resolution,spectral response,spectral scene content,stochastic mixing model | Computer vision,Multidimensional signal processing,Remote sensing,Multispectral image,Hyperspectral imaging,Pixel,Artificial intelligence,Multispectral pattern recognition,Maximum a posteriori estimation,Point spread function,Image resolution,Mathematics | Journal |
Volume | Issue | ISSN |
43 | 3 | 0196-2892 |
Citations | PageRank | References |
54 | 2.54 | 4 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Michael T. Eismann | 1 | 326 | 19.71 |
| Russell C Hardie | 2 | 373 | 33.68 |