@inproceedings{5724d4f1fc434eaebc4411b7d1957ae0,
title = "Target detection in the presence of multiple subpixel targets in complex backgrounds",
abstract = "In this paper, the detection of point target in a target rich environment is considered. The standard matched filter may be problematic if the estimate of the background is contaminated by neighboring pixels. A second solution, the Orthogonal Space Projection (OSP) implementation of the Generalized Likelihood Ratio Test may be faulty due to the over-definition of the background with the use of too many endmembers. Throughout this paper, a modified version of the OSP test (MOSP) is developed; the MOSP performs well in a point target detection test.",
keywords = "Background Characterization, Hyperspectral, Target Detection",
author = "Dadon, {M. M.} and Rotman, {S. R.} and Blumbergn, {D. G.} and S. Adler-Golden and P. Conforti",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2016 ; Conference date: 21-08-2016 Through 24-08-2016",
year = "2016",
month = jun,
day = "28",
doi = "10.1109/WHISPERS.2016.8071684",
language = "American English",
series = "Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing",
booktitle = "2016 8th Workshop on Hyperspectral Image and Signal Processing",
}