The passive remote chemical plume quantication problem may be approached from multiple aspects, corresponding to a variety of physical eects that may be exploited. Accordingly, a diversity of statistical quantication algorithms has been proposed in the literature. The ultimate performance and algorithmic complexity of each is in uenced by the assumptions made about the scene, which may include the presence of ancillary measurements or particular background / plume features that may or may not be present. In this paper, we evaluate and compare a number of quantication algorithms that span a variety of such assumptions.

Date Published: 24 May 2012
PDF: 11 pages
Proc. SPIE 8390, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII, 83902I (24 May 2012); doi: 10.1117/12.919557

Published in SPIE Proceedings Vol. 8390:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII
Sylvia S. Shen; Paul E. Lewis, Editor(s)