Temporal-Spectral Detection in Long Wave Infrared Hyperspectral Imagery
SCIENCE AND TECHNOLOGY CORP EDGEWOOD MD
Pagination or Media Count:
Ground-based staring hyperspectral chemical detectors allow for repeated measurements through time with near-perfect image registration. The problem with standard spectral based hyperspectral detection algorithms is that they do not make effective use of this temporal information. In this paper we show that significant improvements in detection performance for staring geometry can be made by making use of statistical information obtained from previous samples and new temporal-spectral detection algorithms are developed. These new algorithms have the advantage that they limit detection to regions where both temporally and spectrally significant events have occurred. We discuss the development of these algorithms and demonstrate the performance of both temporal-spectral and spectral detectors for detection of gaseous plumes using data from the FIRST Field-Portable Imaging Radiometric Spectrometer Technology passive long wave infrared LWIR hyperspectral sensor.
- Numerical Mathematics
- Miscellaneous Detection and Detectors
- Atomic and Molecular Physics and Spectroscopy