@inproceedings{bc253a416c09484c920016b0de0bebf1,
title = "Local covariance matrices for improved target detection performance",
abstract = "Our research goals in hyperspectral point target detection have been to develop a methodology for algorithm comparison and to advance point target detection algorithms through the fundamental understanding of spatial/spectral statistics. In this paper, we demonstrate improved target detection performance by making better estimates of the covariance matrix. We develop a new type of local covariance matrix which can be implemented in Principal Component space which shows improved performance based on our metrics.",
keywords = "Local covariance matrices, Spectral data analysis, Target detection",
author = "Caefer, {C. E.} and Rotman, {S. R.}",
year = "2009",
month = dec,
day = "21",
doi = "10.1109/WHISPERS.2009.5288987",
language = "English",
isbn = "9781424446872",
series = "WHISPERS '09 - 1st Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing",
booktitle = "WHISPERS '09 - 1st Workshop on Hyperspectral Image and Signal Processing",
note = "WHISPERS '09 - 1st Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing ; Conference date: 26-08-2009 Through 28-08-2009",
}