Hyperspectral imaging has proved to be a valuable tool for performing material based discrimination of targets in highly cluttered backgrounds. A next step for utilizing this technology is to integrate spectral and spatial discrimination algorithms for Autonomous Target Recognition (ATR) applications. This paper describes a hardware and software testbed system for performing spectral/spatial ATR and presents initial results from a field test in the Anza- Borrego desert.
Hyperspectral sensor test bed for real-time algorithm evaluation
Hyperspectral sensor test bed for real-time algorithm evaluation
James C. Jafolla and Mark S. Dombrowski “Hyperspectral sensor test bed for real-time algorithm evaluation”, Proc. SPIE 4480, Imaging Spectrometry VII, (17 January 2002); https://doi.org/10.1117/12.453358Copyright 2002 Society of Photo‑Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this publication for a fee or for commercial purposes, and modification of the contents of the publication are prohibited.