A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf
.
A Signal Processing Perspective on Hyperspectral Unmixing: Insights from Remote Sensing
2014
IEEE Signal Processing Magazine
B lind hyperspectral unmixing (HU), also known as unsupervised HU, is one of the most prominent research topics in signal processing (SP) for hyperspectral remote sensing [1], [2] . Blind HU aims at identifying materials present in a captured scene, as well as their compositions, by using high spectral resolution of hyperspectral images. It is a blind source separation (BSS) problem from a SP viewpoint. Research on this topic started in the 1990s in geoscience and remote sensing [3]-[7],
doi:10.1109/msp.2013.2279731
fatcat:yltzlzhbmbfthfw4qim4bj2tjy