108 search results - page 2 / 22 » Dependent Component Analysis: A Hyperspectral Unmixing Algor... |
IGARSS
2009
13 years 3 months ago
2009
We have explored in this paper a framework to test in a quantitative manner the stability of different endmember extraction and spectral unmixing algorithms based on the concept o...
AIPR
2003
IEEE
13 years 10 months ago
2003
IEEE
Although hyperspectral images provide abundant information about objects, their high dimensionality also substantially increases computational burden. Dimensionality reduction off...
TSP
2008
13 years 5 months ago
2008
This paper proposes a hierarchical Bayesian model that can be used for semi-supervised hyperspectral image unmixing. The model assumes that the pixel reflectances result from linea...
IGARSS
2010
13 years 3 months ago
2010
Endmember extraction is an important technique in the context of spectral unmixing of remotely sensed hyperspectral data. Winter's N-FINDR algorithm is one of the most widely...
IGARSS
2009
13 years 3 months ago
2009
Finding an accurate sparse approximation of a spectral vector described by a linear model, when there is available a library of possible constituent signals (called endmembers or ...