216
8: Stefan A. Robila, Pramod K. Varshney
Robila SA, (2002) Independent component analysis feature extraction for hyperspectral
images, PhD Thesis, Syracuse University, Syracuse, NY
Robila SA, Varshney PK (2002) Target detection in hyperspectral images based on independent component analysis. Proceedings of SPIE Automatic Target Recognition XII, 4726,
pp 173-182
Robila SA, Varshney PK (2003) Further results in the use of independent component analysis
for target detection in hyperspectral Images. Proceedings of SPIE Automatic Target
Recognition XIII, 5094, pp 186-195
Robila SA, Haaland P, Achalakul T, Taylor S (2000) Exploring independent component
analysis for remote sensing. Proceedings of the Workshop on Multi/Hyperspectral Sensors, Measurements, Modeling and Simulation, Redstone Arsenal, Alabama, U.S. Army
Aviation and Missile Command, CD
Shriki 0, Sompolinski H, Lee DD (2001) An information maximization approach to overcomplete and recurrent representations. In Advances in Neural Information Processing
Systems l3, Leen TK, Dietterich TG, and Tresp V, Eds., l3, pp 612-618
Swain PH, King RC (1973) Two effective feature selection criteria for multispectral remote sensing. Proceedings of First International Conference on Pattern Recognition,
November 1973, pp 536-540
Swain PH, Davis SM (eds) (1978) Remote sensing: the quantitative approach, McGraw Hill,
New York
Tu TM, Huang PS, Chen PY (2001) Blind separation of spectral signatures in hyperspectral
imagery. IEEE Proceedings on Vision, Image and Signal Processing 148(4): 217-226
8: Stefan A. Robila, Pramod K. Varshney
Robila SA, (2002) Independent component analysis feature extraction for hyperspectral
images, PhD Thesis, Syracuse University, Syracuse, NY
Robila SA, Varshney PK (2002) Target detection in hyperspectral images based on independent component analysis. Proceedings of SPIE Automatic Target Recognition XII, 4726,
pp 173-182
Robila SA, Varshney PK (2003) Further results in the use of independent component analysis
for target detection in hyperspectral Images. Proceedings of SPIE Automatic Target
Recognition XIII, 5094, pp 186-195
Robila SA, Haaland P, Achalakul T, Taylor S (2000) Exploring independent component
analysis for remote sensing. Proceedings of the Workshop on Multi/Hyperspectral Sensors, Measurements, Modeling and Simulation, Redstone Arsenal, Alabama, U.S. Army
Aviation and Missile Command, CD
Shriki 0, Sompolinski H, Lee DD (2001) An information maximization approach to overcomplete and recurrent representations. In Advances in Neural Information Processing
Systems l3, Leen TK, Dietterich TG, and Tresp V, Eds., l3, pp 612-618
Swain PH, King RC (1973) Two effective feature selection criteria for multispectral remote sensing. Proceedings of First International Conference on Pattern Recognition,
November 1973, pp 536-540
Swain PH, Davis SM (eds) (1978) Remote sensing: the quantitative approach, McGraw Hill,
New York
Tu TM, Huang PS, Chen PY (2001) Blind separation of spectral signatures in hyperspectral
imagery. IEEE Proceedings on Vision, Image and Signal Processing 148(4): 217-226
