TY - GEN
T1 - Hyperspectral target detection from incoherent projections
T2 - 2010 17th IEEE International Conference on Image Processing, ICIP 2010
AU - Krishnamurthy, Kalyani
AU - Raginsky, Maxim
AU - Willett, Rebecca
PY - 2010
Y1 - 2010
N2 - This paper describes a computationally efficient approach for the detection of spectral targets of different strengths, contaminated by a colored Gaussian background, from relatively few incoherent projections compared to the dimension of the target. The performance of the detector is analyzed with respect to the number of observations collected, the background perturbation, the target signal strength, the similarity among different targets in a known spectral dictionary, and the known a priori probabilities of the targets.
AB - This paper describes a computationally efficient approach for the detection of spectral targets of different strengths, contaminated by a colored Gaussian background, from relatively few incoherent projections compared to the dimension of the target. The performance of the detector is analyzed with respect to the number of observations collected, the background perturbation, the target signal strength, the similarity among different targets in a known spectral dictionary, and the known a priori probabilities of the targets.
KW - Compressive sensing
KW - False discovery rate
KW - Hyperspectral imaging
KW - Incoherent projections
KW - Target detection
UR - http://www.scopus.com/inward/record.url?scp=78651111128&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78651111128&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2010.5653668
DO - 10.1109/ICIP.2010.5653668
M3 - Conference contribution
AN - SCOPUS:78651111128
SN - 9781424479948
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 1357
EP - 1360
BT - 2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings
Y2 - 26 September 2010 through 29 September 2010
ER -