Michael D. Farrell

Affiliations: 
2005 Georgia Institute of Technology, Atlanta, GA 
Google:
"Michael Farrell"
Mean distance: 22.55
 
SNBCP

Parents

Sign in to add mentor
Russell M. Mersereau grad student 2005 Georgia Tech
 (Analysis of modeling, training, and dimension reduction approaches for target detection in hyperspectral imagery.)
BETA: Related publications

Publications

You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

Farrell MD, Mersereau RM. (2005) Detection of industrial gaseous chemical plumes using hyperspectral imagery in the emissive regime Proceedings of Spie - the International Society For Optical Engineering. 5890: 1-12
Farrell MD, Mersereau RM. (2005) Comparison of adaptive array processing schemes for land mine detection using hyperspectral imagery Proceedings of Spie - the International Society For Optical Engineering. 5913: 1-11
Farrell MD, Mersereau RM. (2005) On the impact of covariance contamination for adaptive detection in hyperspectral imaging Ieee Signal Processing Letters. 12: 649-652
Farrell MD, Mersereau RM. (2005) On the impact of PCA dimension reduction for hyperspectral detection of difficult targets Ieee Geoscience and Remote Sensing Letters. 2: 192-195
Farrell MD, Mersereau RM. (2005) Hyperspectral parameter estimation of elliptically contoured t mixture models using expectation-maximisation International Journal of Remote Sensing. 26: 5071-5097
Farrell MD, Mersereau RM. (2005) Application of a two-stage algorithm for adaptive detection in hyperspectral imaging Ieee Workshop On Statistical Signal Processing Proceedings. 2005: 465-470
Farrell MD, Mersereau RM. (2004) Robust automatic clustering of hyperspectral imagery using non-gaussian mixtures Proceedings of Spie - the International Society For Optical Engineering. 5573: 161-172
Farrell MD, Mersereau RM. (2004) Estimation of elliptically contoured mixture models for hyperspectral imaging data International Geoscience and Remote Sensing Symposium (Igarss). 4: 2412-2415
See more...