Accession Number:

AD1034538

Title:

Performance Metrics for the Evaluation of Hyperspectral Chemical Identification Systems

Descriptive Note:

Technical Report

Corporate Author:

MIT Lincoln Laboratory Lexington United States

Report Date:

2016-02-10

Pagination or Media Count:

21.0

Abstract:

Remote sensing of chemical vapor plumes is a difficult but important task with many military and civilian applications.Hyperspectral sensors operating in the long wave infrared LWIR regime have well demonstrated detection capabilities. However, the identification of a plumes chemical constituents, based on a chemical library, is a multiple hypothesis testing problem which standard detection metrics do not fully describe. We propose using an additional performance metric for identification based on the so-called Dice index. Our approach partitions and weights a confusion matrix to develop both the standard detection metrics and identification metric. Using the proposed metrics, we demonstrate that the intuitive system design of a detector bank followed by an identifier is indeed justified when incorporating performance information beyond the standard detection metrics.

Subject Categories:

  • Infrared Detection and Detectors
  • Chemical, Biological and Radiological Warfare

Distribution Statement:

APPROVED FOR PUBLIC RELEASE