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. ...
Reports by Author
