Performance metrics for the evaluation of hyperspectral chemical identification systems
Remote sensing of chemical vapor plumes is a difficult but important task for many military and civilian applications. Hyperspectral sensors operating in the long-wave infrared regime have well-demonstrated detection capabilities. However, the identification of a plume’s chemical constituents, based...
| Main Authors: | , , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
SPIE--Society of Photo-Optical Instrumentation Engineers
2017
|
| Online Access: | http://hdl.handle.net/1721.1/108594 |