Research Interests
Remote Sensing Image Processing and Analysis, Hyperspectral Imaging, Data Compression, Neural Networks, Super-resolution

Current Research Projects
Random projections for dimensionality reduction of hyperspectral data

Mobile Bay water quality assessment using NASA spaceborne data products

Super-resolution of motion image sequence through turbulent atmosphere

Enhancing the teaching and research in remote sensing image processing and analysis with the GeoBrain technologies

Survey mapping using advanced signal processing

Most Current Publications:
Q. Du and J. E. Fowler, Low-complexity principal component analysis for hyperspectral image compression, International Journal of High Performance Computing Applications, vol. 22, no. 4, pp. 438-448, Nov. 2008.

Q. Du, N. Raksuntorn, N. H. Younan, and R. L. King, Endmember extraction for hyperspectral image analysis, Applied Optics, vol. 47, no. 28, pp. F77-F84, Oct. 2008.

Q. Du, N. Raksuntorn, S. Cai, and R. J. Moorhead, Color display for hyperspectral imagery, IEEE Transactions on Geoscience and Remote Sensing, vol. 46, no. 6, pp. 1858-1866, Jun. 2008.

Q. Du, N. Raksuntorn, A. Orduyilmaz, and L. M. Bruce, Automatic registration and mosaicking for airborne multispectral image sequences, Photogrammetic Engineering & Remote Sensing, vol. 74, no. 2, pp.169-181, Feb. 2008.