CONFERENCE PROCEEDING
PUBLICATIONS (Since 1998)
(Supervised students are underlined)
Year 2011:
[110] H. Yang and Q. Du, "Fast band selection for hyperspectral imagery," Proceedings of IEEE International Workshop
on Parallel and Distributed Computing in Remote Sensing, Tainan, Taiwan,
Dec. 2011.
[109] W. Wei, Q. Du, and N. H. Younan, "Parallel optimization-based spectral transformation for detection and classification of buried radioactive materials," IEEE Nuclear Science Symposium Conference Record, Valencia, Spain, Oct. 2011.
[108] I. Kopriva and Q. Du, "Tensor factorization and continuous
wavelet transform for model-free single-frame blind image deconvolution," Proceedings of the 7th International Symposium on Signal and Image
Processing and Analysis, pp. 529-533, Dubrovnik, Croatia, Sep. 2011.
[107] F. Pacifici, J. Chanussot, and Q. Du, "2011 GRSS data fusion contest: Exploiting
WorldView-2 multi-angular acquisitions," Proceedings of IEEE Geoscience and Remote Sensing Symposium, pp.
1163-1166, Vancouver, Canada, July 2011.
[106] A. Turlapaty, Q. Du, and N. H. Younan, "Detection and
classification of buried radioactive-metal objects using wideband EMI data," Proceedings of IEEE Geoscience and Remote
Sensing Symposium, pp. 1115-1118, Vancouver, Canada, July 2011.
[105] Q. Du, J. E. Fowler, and B. Ma, "Random-projection-based dimensionality reduction and decision fusion for hyperspectral target detection," Proceedings of IEEE Geoscience and Remote Sensing Symposium, pp. 1790-1793, Vancouver, Canada, July 2011.
[104] H. Yang and Q. Du, "Particle swarm optimization-based dimensionality reduction for hyperspectral image classification," Proceedings of IEEE Geoscience and Remote Sensing Symposium, pp. 2357-2360, Vancouver, Canada, July 2011.
[103] C. Yang, J. A. Goolsby, J. H. Everitt, and Q. Du, "Applying spectral unmixing and support vector machine to airborne hyperspectral imagery for detecting giant reed," Proceedings of IEEE Geoscience and Remote Sensing Symposium, pp. 3664-3667, Vancouver, Canada, July 2011.
[102] Q. Du, H. Yang, and N. H. Younan, "Improved sequential endmember extraction algorithms," Proceedings of 3rd Workshop on Hyperspectral and Signal Processing: Evolution in Remote Sensing, Lisbon, Portugal, June 2011.
[101] W. Wei, Q. Du, N. H. Younan, C.
Waggoner, and D. Rogers, "Optimized spectral transformation for detection and
classification of buried radioactive waste," Proceedings
of Waste Management Conference, Phoenix, AZ, March 2011.
Year 2010:
[100] W. Wei, Q. Du, and N. H. Younan, "Estimation of mass and depth of buried radioactive material using neural networks," IEEE Nuclear Science Symposium Conference Record, Knoxville, TN, Nov. 2010.
[99] W. Wei, Q.
Du, and N. H. Younan, "Particle
swarm optimization based spectral transformation for radioactive material
detection and classification," Proceedings of IEEE Conference on
Computational Intelligence for Measurement Systems and Applications, Taranto, Italy, Sep. 2010.
[98] H. Yang, Q. Du, and B. Ma, "Weighted decision fusion for supervised and unsupervised hyperspectral image classification," Proceedings of IEEE Geoscience and Remote Sensing Symposium, Honolulu, Hawaii, Jul. 2010.
[97] Q. Du and J. E. Fowler, "On the performance of random-projection-based dimensionality reduction for endmember extraction," Proceedings of IEEE Geoscience and Remote Sensing Symposium, Honolulu, Hawaii, Jul. 2010.
[96] C. Yang, Q. Du, J. H. Everitt, J. A. Goolsby, and N. H. Younan, "Spectral unmixing of airborne hyperspectral imagery for mapping giant reed infestations," Proceedings of IEEE 2nd Workshop on Hyperspectral Image and Signal Processing, Reykjevik, Iceland, Jun. 2010.
[95] Q. Du, "Virtual dimensionality estimation for hyperspectral imagery with a fractal-based method," Proceedings of IEEE 2nd Workshop on Hyperspectral Image and Signal Processing, Reykjevik, Iceland, Jun. 2010.
[94] N. Raksuntorn and Q. Du, "Fast algorithm for searching endmember set per pixel," Proceedings of SPIE International Conference on Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVI (part of 2010 SPIE Defense & Security Symposium), Orlando, Florida, Apr. 2010.
[93] W. Zhu and Q. Du, "Hyperspectral target detection assessment using an online evaluation system," Proceedings of SPIE International Conference on Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVI (part of 2010 SPIE Defense & Security Symposium), Orlando, Florida, Apr. 2010.
[92] K. Liu, H.
Yang, B. Ma, and Q. Du, "A joint optical flow and principal component
analysis approach for motion detection," Proceedings
of IEEE International Conference on Acoustics, Speech, and Signal Processing,
Dallas, TX, Mar. 2010.
[91] Q. Du, W.
Wei, Z. Huang, N. H. Younan, C. Waggoner, and D. Rogers, "Enhanced effective
detection of buried radioactive waste," Proceedings
of Waste Management Conference, Phoenix, AZ, Mar. 2010.
Year 2009:
[90] Q. Du and I.
Kopriva, "Dependent component analysis for hyperspectral image classification," Proceedings of SPIE European Remote Sensing
Conference, SPIE vol. 7477, pp.
74770G1-74770G8, Berlin, Germany, Sep. 2009.
[89] Q. Du.
L. Zhang, and N. Raksuntorn, "Improving the quality of extracted endmembers," Proceedings
of IEEE First Workshop on Hyperspectral Image and Signal Processing: Evolution
in Remote Sensing, Grenoble, France, Aug. 2009.
[88] W. Zhu, Q. Du, and J. E. Fowler, "Segmented principal component analysis for hyperspectral image
compression," Proceedings of SPIE Conference on Satellite
Data Compression, Communications, and Processing, SPIE vol. 7455, pp.
74550I1-74550I8, San Diego, CA, Aug. 2009.
[87] A. Plaza, Q.
Du, and Y.-L. Chang, "High
performance computing for hyperspectral image analysis: perspective and
state-of-art," Proceedings of IEEE Geoscience and Remote
Sensing Symposium, vol. 5, pp.
72-75, Cape Town, South Africa,
Jul. 2009.
[86] J. E. Fowler, Q. Du, W. Zhu, and N. H. Younan, "Classification performance of
random-projection-based dimensionality reduction of hyperspectral imagery,"
Proceedings of IEEE Geoscience and Remote Sensing Symposium, vol. 5, pp. 76-79, Cape Town,
South Africa, Jul. 2009.
[85] H. Yang and Q. Du, "Unsuperivsed
hyperspectral band selection using parallel processing," Proceedings
of IEEE Geoscience and Remote Sensing Symposium, vol. 5, pp. 80-83, Cape
Town, South Africa, Jul. 2009.
[84] H. Yang, B. Ma, and Q. Du, "Decision fusion for supervised and unsupervised
hyperspectral image classification," Proceedings of IEEE Geoscience and
Remote Sensing Symposium, vol. 4,
pp. 948-951, Cape Town, South
Africa, Jul. 2009.
[83] N. Raksuntorn and Q. Du, "Nonlinear
mixture analysis for hyperspectral imagery," Proceedings of IEEE Geoscience and
Remote Sensing Symposium, vol. 3,
pp. 829-832, Cape Town, South
Africa, Jul. 2009.
[82] H. Yang, B. Ma, Q. Du, and L. Zhang, "Comprarison of spectral-spatial classification for
urban hyperspectral imagery with high resolution," Proceedings of
IEEE Urban Remote Sensing Workshop, Shanghai, China, May 2009.
[81] H. Yang and Q. Du, "Hyperspectral
band selection with similarity assessment," Proceedings of SPIE International Conference on
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral
Imagery XV (part of 2009 SPIE Defense & Security Symposium), SPIE vol. 7334, pp.
7334071-7334078, Orlando, FL, Apr. 2009.
[80] H. Yang and Q. Du, "Neural
network approach for Mobile Bay water quality mapping with spaceborne
measurements," Proceedings of
SPIE International Conference on Independent Component Analysis, Wavelets, and
Neural Networks (part of 2009 Defense & Security Symposium), SPIE vol. 7343, pp. 73430I1-73430I8, Orlando, FL, Apr. 2009.
[79] Q. Du,
"Precipitation data merging using
artificial neural networks," Proceedings
of SPIE International Conference on Independent Component Analysis, Wavelets,
and Neural Networks (part of 2009 Defense
& Security Symposium),
SPIE vol. 7343, pp. 73430E1-73430E8, Orlando, FL, Apr. 2009.
[78] Q. Du, N. H.
Younan, C. Waggoner, and D. Rogers, "Effective detection of buried radioactive
waste,"
Proceedings of Waste Management
Conference, Tucson, AZ, Mar. 2009.
Year 2008:
[77] Q. Du and N. H. Younan, "On the performance
improvement for linear discriminant analysis-based hyperspectral image
classification," Proceedings of 5th IAPR Workshop on Pattern
Recognition for Remote Sensing, Tempa, FL, Dec. 2008.
[75] N. Raksuntorn and Q. Du, "On the performance of virtual dimensionality
estimation for hyperspectral image analysis," Proceedings of SPIE European Remote Sensing
Conference, SPIE vol. 7109, pp. 71090E1-71090E8, Cardiff, UK, Sep. 2008.
[74] Q. Du, N. Raksuntorn, N. H.
Younan, and R. L. King, "Variants
of N-FINDR algorithm for endmember extraction," Proceedings of SPIE European Remote Sensing
Conference, SPIE vol. 7109, pp. 71090G1-71090G8, Cardiff, UK, Sep. 2008.
[72] H. Yang, Q. Du, W. Zhu, I. Banicescu,
and J. E. Fowler, "Parallel data compression for hyperspectral
imagery,"
Proceedings of IEEE Geoscience and Remote Sensing Symposium, vol. 2, pp. 986-989, Boston, MA, Jul. 2008.
[71] N. Raksuntorn and Q.
Du, "A new linear mixture
model for hyperspectral image analysis," Proceedings of IEEE Geoscience and Remote Sensing Symposium, vol.
3, pp. 258-261, Boston, MA, Jul. 2008.
[70] J. Zhang, J. E. Fowler, Q. Du, and G.
Z. Liu, "Improvements to 3D TARP
coding for the compression of hyperspectral imagery," Proceedings of IEEE Geoscience and Remote Sensing
Symposium, vol. 2, pp. 982-985,
Boston, MA, Jul. 2008.
[69] Q. Du, W. Zhu, and J. E. Fowler,
"Anomaly-based hyperspectral
image compression," Proceedings
of IEEE Geoscience and Remote Sensing Symposium, vol. 2, pp. 974-977, Boston,
MA, Jul. 2008.
[68] Q. Du and N. Raksuntorn, "On the performance of endmember extraction algorithms for hyperspectral image analysis," Proceedings of Geoinformatics 2008, Guangzhou, China, Jun. 2008.
[67]
Q. Du and W. Zhu, "Improving the performance of PCA and
JPEG2000 for hypespectral image compression," Proceedings of SPIE International Conference on Algorithms and
Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIV (part
of 2008 SPIE Defense & Security Symposium), SPIE vol. 6966, pp. 69661I1-69661I8,
Orlando, FL, Mar. 2008.
Year 2007:
[66] Q. Du, W. Zhu, and J. Fowler, "Implementation of low-complexity principal
component analysis for remotely sensed hyperspectral-image compression," Proceedings of IEEE Workshop on Signal
Processing Systems, pp. 307-312, Shanghai, China, Oct. 2007.
[65] Q. Du, N.
Younan, and R. King, "Change analysis for hyperspectral imagery," Proceedings
of the 4th IEEE International Workshop on the Analysis of Multitemporal Remote
Sensing Images, Leuven, Spain, Jul. 2007.
[64] Q. Du and H. Yang, "Unsupervised band selection for hyperspectral image
analysis," Proceedings of IEEE
Geoscience and Remote Sensing Symposium, pp. 282-285, Barcelona, Spain,
Jul. 2007.
[63] J. B. Boettcher, Q. Du, and J. E. Fowler,
"Hyperspectral image compression
with a 3D dual-tree wavelet transform," Proceedings of IEEE Geoscience and Remote Sensing Symposium, pp.
1033-1036, Barcelona, Spain, Jul. 2007.
[62]
Q. Du and W. Zhu, "Integration of PCA and JPEG2000 for hyperspectral
image compression," Proceedings of
SPIE International Conference on Algorithms and Technologies for
Multispectral, Hyperspectral, and Ultraspectral Imagery XIII (part
of 2007 SPIE Defense & Security Symposium), SPIE vol. 6565, pp. 60650L1-60650L8,
Orlando, FL, Apr. 2007.
Year 2006:
[61]
Q. Du, "Modified Fisher's linear discriminant analysis for
hyperspectral image compression and classification," Proceedings of
SPIE International Conference on Chemical and Biological Sensors for Industrial and Environmental Monitoring II
(part of Optics East 06),
SPIE vol. 6378, pp. 63781D1-63781D8, Boston, MA, Oct. 2006.
[60] Q. Du, N. Raksuntorn, and A. Orduyilmaz, "Restoration of degraded video through turbulent atmosphere," Proceedings of IEEE International Conference on Image Processing, pp. 2009-2012, Atlanta, GA, Oct. 2006.
[59] J. Li, C.-X. Sun, and Q. Du, "A new box-counting method for estimation of image fractal dimension," Proceedings of IEEE International Conference on Image Processing, pp. 3029-3032, Atlanta, GA, Oct. 2006.
[58] Q. Du, N. Raksuntorn, S.-S. Cai, and N. Younan, "Color representation and classification for hyperspectral imagery," Proceedings of IEEE International Geoscience and Remote Sensing Symposium, pp. 537-540, Denver, CO, Aug. 2006.
[57] S.-S. Cai, Q. Du, and R. Moorhead, "Remote sensing image visualization using double layers," Proceedings of IEEE International Geoscience and Remote Sensing Symposium, pp. 249-252, Denver, CO, Aug. 2006.
[56] N. B. Chang, Q. Du, and K. R. Srilakshmi, "Integration of remote sensing and environmental modeling for pollution prevention in citrus industry," Proceedings of the 5th International Conference on Environmental Informatics, Bowling Green, KY, Aug. 2006.
[55] Q. Du, "Design of application-oriented computer projects in
a probability and random processes course for electrical engineering majors," Proceedings of ASEE Annual Conference,
Chicago, IL, Jun. 2006.
[54] Q. Du and J. Schneider, "Improvement of an electrical engineering course
offered to non-electrical engineering majors," Proceedings of ASEE Annual Conference,
Chicago, IL, Jun. 2006.
[53] Q. Du, N. Younan, and R. King, "Application-oriented performance evaluation of pan-sharpening techniques," Proceedings of the 3rd International Symposium on Future Intelligent Earth Observing Satellites, Beijing, China, May 2006.
[52] A. Orduyilmaz, N. Raksuntorn, Q. Du, L. Bruce, V. Anantharaj, S. Wright, "Multi-sensor fusion for mini-UAV platforms," Proceedings of SPIE Conference on Unmanned Systems Technology VII (part of 2006 SPIE Defense & Security Symposium), SPIE vol. 6230, pp. 62300Z1-62300Z8, Orlando, FL, Apr. 2006.
[51] Q. Du and N. Raksuntorn, "Hyperspectral image analysis using noise-adjusted principal component transform," Proceedings of SPIE International Conference on Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XII (part of Defense & Security Symposium 06), SPIE vol. 6233, pp. 156-163, Orlando, FL, Apr. 2006.
[50] Q. Du and H. Szu, "Interference and noise adjusted principal components analysis for hyperspectral remote sensing image compression," Proceedings of SPIE International Conference on Independent Component Analysis, Wavelets, and Neural Networks (part of Defense & Security Symposium 06), SPIE vol. 6247, pp. 73-80, Orlando, FL, Apr. 2006.
Year 2005:
[49] S.-S. Cai,
Q. Du, R. Moorhead, M. J. Mohammadi-Aragh, and D. Irby,
"Noise-adjusted principle component analysis for hyperspectral remotely
sensed imagery visualization," Proceedings of IEEE Visualization
Conference (Compendium), pp. 119-120, Minneapolis, MN, Oct. 2005.
[48]
Q. Du, "On the performance of GLRT algorithm for target detection in
hyperspectral imagery," Proceedings
of SPIE International Conference on Chemical and Biological Standoff
Detection III (part of Optics East 05), SPIE vol. 5995, pp.
5995051-5995058, Boston, MA, Oct. 2005.
[47] Q. Du, C. Yang, and J. Everitt, "Citrus monitoring using aerial CIR photography," Proceedings of 20th Biennial Workshop on Aerial
Photography, Videography, and High Resolution Digital Imagery, Weslaco, TX,
Oct. 2005.
[46] Q. Du, C. Yang, and J. Everitt, "Airborne hyperspectral image analysis for grain
sorghum yield variability mapping," Proceedings of IEEE International Geoscience and Remote
Sensing Symposium, vol. 4, pp. 25-29, Seoul, Korea, Jul. 2005.
[45] Q. Du, O. Gungor, and J. Shan, "Performance evaluation for pan-sharpening techniques," Proceedings of IEEE International
Geoscience and Remote Sensing Symposium, vol. 6, pp. 4264-4266, Seoul,
Korea, Jul. 2005.
[44] Q. Du, I. Kopriva, and H. Szu, "Investigation on constrained matrix factorization
for hyperspectral image analysis, " Proceedings of IEEE International Geoscience and Remote
Sensing Symposium, vol. 6, pp. 25-29, Seoul, Korea, Jul.
2005.
[43] Q. Du, L.
Wasson, and R. King, "Unsupervised linear unmixing for change detection in
multitemporal airborne hyperspectral imagery," Proceedings of 3rd IEEE
International Workshop on the Analysis of Multitemporal Remote Sensing Images,
pp. 136-140, Biloxi, MS, May 2005.
[42]
Q. Du and H. Ren, "On the performance of CEM and TCIMF," Proceedings
of SPIE International Conference on
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral
Imagery XI (part of Defense & Security Symposium 05), SPIE vol. 5806, pp. 861-868, Orlando, FL,
Mar. 2005.
[41]
Q. Du, I. Kopriva, and H. Szu, "Classifying hyperspectral remote
sensing imagery with independent component analysis," Proceedings of
SPIE International Conference on Independent Component Analysis, Wavelets, and
Neural Networks (part of Defense
& Security Symposium 05), SPIE vol. 5818, pp. 50-58, Orlando, FL,
Mar. 2005.
[40] Q. Du, "On the performance of a linear discriminant analysis-based
approach for hyperspectral image classification," Proceedings of ASPRS Annual Meeting, Baltimore, MD, Mar. 2005.
[39] Q. Du, A. Orduyilmaz, C. Yang, and J. Everitt, "Detecting citrus tree size, centroid, and health conditions
from airborne high-spatial-resolution multispectral imagery," Proceedings of ASPRS Annual Meeting,
Baltimore, MD, Mar. 2005.
Year 2004:
[38]
Q. Du, "Localized processing for hyperspectral image
analysis," Proceedings of 2004 SPIE
International Conference on Chemical and Biological Standoff Detection II (part
of Optics East 04), SPIE vol. 5584, pp. 202-209, Philadelphia, PA, Oct. 2004.
[37] Q. Du, "Interference and noise adjusted principal component analysis for hyperspectral image compression," Proceedings of SPIE International Conference on Chemical and Biological Standoff Detection II (part of Optics East 04), SPIE vol. 5584, pp. 186-193, Philadelphia, PA, Oct. 2004.
[36]
Q. Du, "Realtime online data compression for hyperspectral
imagery," Proceedings of IEEE International Geoscience and Remote
Sensing Symposium, vol. 4, pp. 2503-2505,
Anchorage, AK, Sep. 2004.
[35]
Q. Du, "Optimal linear unmixing for hyperspectral image
analysis," Proceedings of IEEE International Geoscience and Remote Sensing
Symposium, vol. 5, pp. 3219-3221,
Anchorage, AK, Sep. 2004.
[34]
Q. Du, J. V. French, M. Skaria, C. Yang, and J. H. Everitt, "Citrus
pest stress monitoring using airborne hyperspectral imagery," Proceedings
of IEEE International Geoscience and Remote Sensing Symposium, vol.
6, pp. 3981-3984, Anchorage, AK,
Sep. 2004.
[33] A. Drunpob, N. B. Chang, M. Beaman, Q. Du,
and C. Wyatt, "Optimal siting of
hydrological monitoring stations with respect to remote sensing-based
geo-environmental patterns,"
Proceedings of International Geoscience and Remote Sensing Symposium, vol. 7, pp. 4873-4876,
Anchorage, AK, Sep. 2004.
[32] Q. Du and T. Howard, "Multispectral image classification using independent component analysis and data dimensionality expansion approaches," Proceedings of SPIE Annual Meeting, SPIE vol. 5546, pp. 374-381, Denver, CO, Aug. 2004.
[31] Q. Du, "Independent component analysis to hyperspectral image classification," Proceedings of SPIE Annual Meeting, SPIE vol. 5546, pp. 366-373, Denver, CO, Aug. 2004.
[30]
Q. Du, "Realtime online unsupervised detection and classification
for remotely sensed imagery," Proceedings
of SPIE International Conference on Algorithms and Technologies for
Multispectral, Hyperspectral, and Ultraspectral Imagery X (part of Defense
& Security Symposium 04), SPIE
vol. 5425, pp. 665-675, Orlando, FL, Apr. 2004.
[29]
Q. Du, I. Kopriva, H. Szu, and J. Buss, "Independent
component analysis for remotely sensed image classification with limited data
dimensionality," (invited paper) Proceedings of SPIE International
Conference on Independent Component Analysis, Wavelets, and Neural Networks
(part of Defense & Security
Symposium 04), SPIE vol. 5439, pp. 84-91, Orlando, FL, Apr. 2004.
[28] I.
Kopriva, Q. Du, and H. Szu, "Independent component analysis
approach to image sharpening in the presence of atmospheric turbulence,"
Proceedings of SPIE International Conference on Independent Component Analysis,
Wavelets, and Neural Networks (part of Defense
& Security Symposium 04), SPIE vol. 5439, pp. 63-73, Orlando, FL, Apr. 2004.
Year 2003:
[27] Q. Du and H. Szu, "Unsupervised hyperspectral image classification
using Lagrange constrained neural network approach," Proceedings
of IEEE International Conference on Neural Networks and Signal Processing, pp. 270-274, Nanjing, China, Dec. 2003.
[26]
Q. Du and C.-I Chang, "Segmented PCA-based compression for
hyperspectral image analysis," Proceedings
of SPIE International Conference on Chemical and Biological Standoff Detection
I (part of Optics East 03), SPIE vol. 5268, pp. 274-281, Providence, RI,
Oct. 2003.
[25] H. Ren, Q. Du, C.-I Chang, and J.
Jensen, "Comparison between
constrained energy minimization based approaches for hyperspectral imagery," Proceedings of IEEE Workshop on Advances in Techniques
for Analysis of Remotely Sensed Data, pp. 244-248, Washington DC, Oct. 2003.
[24] Q. Du, "Band selection and its impact on target detection
and classification in hyperspectral imagery," Proceedings of IEEE Workshop on Advances in Techniques
for Analysis of Remotely Sensed Data, pp. 374-377, Washington DC, Oct. 2003.
[23] C.-I Chang, H. Ren, and Q. Du, "A revisit to TCIMF algorithm," Proceedings of SPIE Annual Meeting, SPIE vol. 5159, pp. 339-348, San Diego, CA, Aug. 2003.
[22] Q. Du, "Noise estimation for remote sensing image data
analysis," Proceedings of SPIE
Annual Meeting, SPIE vol. 5159, pp. 246-254, San
Diego, CA, Aug. 2003.
[21] S. Chakarvarty, Q. Du, and H.
Ren, "Unsupervised hyperspectral
image classification using adaptive expectation-maximization algorithm," Proceedings of IEEE International Geoscience
and Remote Sensing Symposium, vol. 3, pp. 1796-1798, Toulouse, France, Jul.
2003.
[20] Q. Du and S. Chakarvarty, "Unsupervised hyperspectral image classification
using blind source separation," Proceedings
of IEEE International Conference on Acoustics, Speech, and Signal Processing,
vol. 3, pp. 437-440, Hong Kong, China, Apr. 2003.
[19] Q. Du and B. Shia, "Realtime online processing for remote sensing
imagery," Proceedings of SPIE International Conference on Algorithms and
Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery IX
(part of Defense & Security Symposium 03), SPIE vol. 5093, pp. 686-693, Orlando, FL, Apr. 2003.
[18] Q. Du, H. Szu,
and H. Ren, "A postprocessing
technique for Lagrange constrained neural network approach," Proceedings of SPIE International Conference on Independent Component Analysis,
Wavelets, and Neural Networks (part of Defense & Security Symposium 03),
SPIE vol. 5102, pp. 17-24, Orlando, FL, Apr. 2003.
Year 2002:
[17] Q. Du, H. Ren, and C.-I Chang, "A
study between orthogonal subspace projection and generalized likelihood ratio
test in hyperspectral image analysis," Proceedings of IEEE International Geoscience and
Remote Sensing Symposium, vol.
5, pp. 2575-2577, Toronto, Canada, Jun. 2002.
[16] H.
Ren, Q. Du, and J. Jensen, "Constrained
weighted least squares approaches for target detection and classification in
hyperspectral imagery," Proceedings
of IEEE International Geoscience and Remote Sensing Symposium, vol. 6, pp. 3426-3428, Toronto, Canada, Jun. 2002.
[15] Q. Du and R. Nekovei, "Real-time
VLSI architecture for hyperspectral image classification using the constrained
linear discriminant algorithm," Proceedings of IEEE International Geoscience and
Remote Sensing Symposium, vol. 6, pp. 3384-3386, Toronto,
Canada, Jun. 2002.
[14] H. Ren, Q. Du, and J. Jensen, "An efficient anomaly detection algorithm for
hyperspectral imagery," Proceedings of SPIE International Conference
on Algorithms and Technologies for Multispectral, Hyperspectral, and
Ultraspectral Imagery VIII (part of Aerospace02), vol. 4725, pp. 234-241, Orlando, FL, Apr. 2002.
[13] Q. Du and H.
Ren, "Performance analysis for
OSP and CEM," Proceedings of SPIE International Conference
on Algorithms and Technologies for Multispectral, Hyperspectral, and
Ultraspectral Imagery VIII (part of Aerospace02), vol. 4725, pp. 501-508, Orlando, FL,
Apr. 2002.
Year 2001:
[12] Q. Du, "Real-time linear constrained discriminant analysis
to hyperspectral imagery," Proceedings
of SPIE International Conference on Multispectral Image Processing and Pattern
Recognition, SPIE vol. 4548, pp. 103-108, Wuhan, China, Oct. 2001.
[11] C.-I Chang, H. Ren, Q. Du, and S. S.
Chiang, "ROC analysis to
hyperspectral image detection," Proceedings
of IEEE International Geoscience and
Remote Sensing Symposium, pp. 2355-2357, Sydney, Australia, Jul. 2001.
[10] Q. Du and C.-I Chang, "Hidden Markov model approaches to hyperspectral
image classification," Proceedings
of IEEE International Geoscience and
Remote Sensing Symposium, pp. 2683-2685, Sydney, Australia, Jul. 2001.
[9] C.-I Chang, Q. Du, S. S. Chiang, and H.
Ren, "Unsupervised subpixel detection
and classification," Proceedings of SPIE International Conference
on Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VII
(part of Aerospace01), SPIE vol. 4381, pp. 370-379, Orlando, FL, Apr. 2001.
[8] Q. Du and C.-I
Chang, "An interference subspace
projection approach to subpixel target detection," Proceedings
of SPIE International Conference on Analysis and Technologies for
Multispectral, Hyperspectral, and Ultraspectral Imagery VII (part of
Aerospace01), SPIE vol. 4381, pp. 570-577, Orlando, FL, Apr. 2001.
Year 2000:
[7] Q. Du, C.-I Chang, D. C. Heinz, M. L. G. Althouse, and I. W. Ginsberg, "Linear mixture model-based compression for hyperspectral image analysis," Proceedings of IEEE International Geoscience and Remote Sensing Symposium, pp. 585-587, Honolulu, HI, Jul. 2000.
[6] Q. Du and C.-I
Chang, "Hidden Markov model-based
spectral measure for hyperspectral image analysis," Proceedings
of SPIE International Conference on Algorithms for Multispectral,
Hyperspectral, and Ultraspectral Imagery VI (part of Aerospace00), SPIE
vol. 4049, pp. 375-385, Orlando, FL, Apr. 2000.
Year 1999:
[5] C.-I Chang and Q. Du, "A noise subspace projection approach to determination of intrinsic
dimensionality for hyperspectral imagery," Proceedings of European Symposium
on Image and Signal Processing for Remote Sensing V, SPIE vol. 3871, pp.
34-44, Florence, Italy, Sep. 1999.
[4] Q. Du and C.-I Chang, "An interference rejection-based radial basis function neural network for
hyperspectral image classification,"
Proceedings of International Joint Conference on Neural Networks, pp. 2698-2703, Washington DC, Jul. 1999.
[3] Q. Du and C.-I Chang, "A linear constrained Euclidean distance-based
discriminant analysis for hyperspectral image classification," Proceedings of 33rd Conference on
Information Sciences and System,
pp. 546-550, Johns Hopkins University, Baltimore, MD, Mar. 1999.
Year 1998:
[2] C.-I Chang and Q. Du, "Interference and noise adjusted principal components analysis," Proceedings of IEEE International Geoscience and Remote Sensing Symposium, pp. 2059-2061, Seattle, WA, Jul. 1998.
[1] Q. Du and C.-I Chang, "Hyperspectral
image classification using radial basis function neural networks," Proceedings of 32nd Conference on Information
Sciences and System, pp.
721-726, Princeton University,
Princeton, NJ, Mar. 1998.