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Adapting to Change: The CFAR Problem in Advanced Hyperspectral Detection
October 10-October 12
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/AIPR.2007.1136th Applied Imagery Pattern Recognit ...
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Alan Schaum, "Adapting to Change: The CFAR Problem in Advanced Hyperspectral Detection," Applied Image Pattern Recognition Workshop,, pp. 15-21, 36th Applied Imagery Pattern Recognition Workshop (aipr 2007), 2007.
 
 
BibTex
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@article{ 10.1109/AIPR.2007.11,
author = {Alan Schaum},
title = {Adapting to Change: The CFAR Problem in Advanced Hyperspectral Detection},
journal ={Applied Image Pattern Recognition Workshop,},
volume = {0},
year = {2007},
issn = {1550-5219},
pages = {15-21},
doi = {http://doi.ieeecomputersociety.org/10.1109/AIPR.2007.11},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Applied Image Pattern Recognition Workshop,
TI - Adapting to Change: The CFAR Problem in Advanced Hyperspectral Detection
SN - 1550-5219
SP15
EP21
A1 - Alan Schaum,
PY - 2007
KW - CFAR
KW - hyperspectral
KW - detection
KW - algorithm
VL - 0
JA - Applied Image Pattern Recognition Workshop,
ER -
 
Newer, realistic models of targets and backgrounds used in hyperspectral detection do not always lend themselves to a CFAR (constant false alarm rate) formulation. Several advanced techniques are considered here. It is found that incorporating a particular empirically validated method of target evolution permits an exact CFAR version of a large class of advanced detectors based on elliptically contoured distributions. Other validated detectors are considered, for which no closed form normalization exists to convert them to CFAR form. For these a geometrical approach to achieving approximate CFAR performance is described and analyzed.
Index Terms:
CFAR, hyperspectral, detection, algorithm
Citation:
Alan Schaum, "Adapting to Change: The CFAR Problem in Advanced Hyperspectral Detection," aipr, pp.15-21, 36th Applied Imagery Pattern Recognition Workshop (aipr 2007), 2007
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