The nature of hyperspectral exploitation systems is such that a set of spectral imagery - and possibly a priori information such as a supplied library of target spectral signatures - is ingested into an algorithm and a series of responses is output. These responses must be scored for their accuracy against known target locations in the image set, from which algorithm performance is then determined. We propose, implement, and demonstrate a new environment for visualizing this process, which will aid not only the evaluator but also the algorithm developer in better understanding, characterizing, and improving system performance, be it that of an anomaly detection, change detection, or material identification algorithm.

Date Published: 4 May 2009
PDF: 8 pages
Proc. SPIE 7335, Automatic Target Recognition XIX, 73350E (4 May 2009); doi: 10.1117/12.819106

Published in SPIE Proceedings Vol. 7335:
Automatic Target Recognition XIX
Firooz A. Sadjadi; Abhijit Mahalanobis, Editor(s)