Published Papers

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Since most of these papers are published, the copyright has been transferred to the respective publishers. Therefore, the papers cannot be duplicated for commercial purposes. The following is IEEE copyright notice; other publishers have similar ones. "(c)20xx IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE."

 

Archival Journal Publications
S. Kumar, J. Ghosh, and M.M. Crawford, "A Hierarchical Multiclassifier System for Hyperspectral Data Analysis," Lecture Notes in Computer Science, Ed. F. Roli and J. Kittler, vol. 1857, 270-279, 2000.

S. Kumar, J. Ghosh, and M.M. Crawford, "Best-Bases Feature Extraction Algorithms for Classification of Hyperspectral Data," IEEE Trans. on Geoscience and Remote Sensing, vol. 39, no. 7, 1368-1380, 2001.

K.C. Slatton, M.M. Crawford, and B.L. Evans, "Fusing Interferometric Radar and Laser Altimeter Data to Estimate Surface Topography and Vegetation Heights," IEEE Trans. on Geoscience and Remote Sensing, vol. 39, no. 11, 2470-2482, 2001.

S. Kumar, J. Ghosh, and M.M. Crawford, "Hierarchical Fusion of Multiple Classifiers for Hyperspectral Data Analysis," International J. Pattern Analysis and Applications, vol. 5, no.2, 210-220, 2002.

J.T. Morgan, A. Henneguelle, M.M. Crawford, J. Ghosh, and A.L. Neuenschwander, "Adaptive Feature Spaces for Land Cover Classification with Limited Ground Truth Data," Lecture Notes in Computer Science, Ed. F. Roli and J. Kittler, vol. 2364, 189-200, 2002. pdf

S. Lee and M.M. Crawford, "Unsupervised Multistage Image Classification Using Hierarchical Clustering with a Bayesian Similarity Measure," IEEE Trans. on Image Processing, in press.

A.L. Neuenschwander, M.M. Crawford, and S. Ringrose, "Results of the EO-1 experiment - Use of Earth Observing-1 Advanced Land Imager (ALI) data to Assess the Vegetational Response to Flooding in the Okavango Delta, Botswana," International. Journal of Remote Sensing, in press.

J.T. Morgan, J. Ham, M.M. Crawford, A. Henneguelle, and J. Ghosh, "Adaptive Feature Spaces for Land Cover Classification with Limited Ground Truth Data," (substantively different from Lecture Notes in Computer Science version), Int. J. Pattern Recognition and Artificial Intelligence, vol 18, no. 5, 777-799. pdf

J. Ham, Y. Chen, M. Crawford, and J. Ghosh, "Investigation of the Random Forest Framework for Classification of Hyperspectral Data," IEEE Trans. on Geoscience and Remote Sensing, accepted for publication. pdf

S. Rajan, J. Ghosh, and M. M. Crawford. Exploiting class hierarchies for knowledge transfer in hyperspectral data. IEEE Transactions on Geoscience and Remote Sensing, 44(11):3408 3417, 2006. pdf

 

Refereed Conference Proceedings
S. Kumar, M.M. Crawford, and J. Ghosh, "A Versatile Framework for Labeling Imagery with a Large Number of Classes," Proc. International Joint Conference on Neural Networks, Washington, D.C., July 10-16, 1999 (publication via CD).

S. Kumar, J. Ghosh, and M.M. Crawford, "Multiresolution Feature Extraction for Pairwise Classification of Hyperspectral Data," SPIE Conference on Applications of Artificial Neural Networks in Image Processing V, January 22-28, San Jose, CA, SPIE Proceedings, Eds. N. M. Nasrabadi and A. K. Katsaggelos, vol. 3962, 60-71, 2000.

S. Kumar, J. Ghosh, and M.M. Crawford, "Classification of Hyperspectral Data using Best-Bases Feature Exaction Algorithms," SPIE Conference on Applications and Science of Computational Intelligence II, Orlando, FL, April 24-28, SPIE Proceedings, Eds. K. L. Priddy; P. E. Keller; D. B. Fogel, vol. 4055, 362-373, 2000.

S. Lee and M.M. Crawford, "Multi-channel/Multi-sensor Image Classification Using Hierarchical Clustering and Fuzzy Classification," Proc. 2000 International Geoscience and Remote Sensing Symposium, Honolulu, Hawaii, July 24-28, 2173-2177, 2000.

S. Lee and M.M. Crawford, "Unsupervised Classification Using Spatial Region Growing Segmentation and Fuzzy Training," Proc. 2001 International Geoscience and Remote Sensing Symposium, Sydney, Australia, July 9-13, 2887-2889, 2001.

A.L. Neuenschwander, M.M. Crawford, and S. Ringrose, "Monitoring of Seasonal Flooding in the Okavango Delta using EO-1 Data," Proc. 2002 International Geoscience and Remote Sensing Symposium, Toronto, Canada, June 24-28, 3124-3126, 2002. pdf

J.R. Morgan, A. Henneguelle, M.M. Crawford, J. Ghosh, and A.L. Neuenschwander, "Best Bases Bayesian Hierarchical Classifier for Hyperspectral Data Analysis," Proc. 2002 International Geoscience and Remote Sensing Symposium, Toronto, Canada, June 24-28, 1434-1437, 2002. pdf

D. Korycinski, M.M. Crawford, J.W. Barnes, and J. Ghosh, "Adaptive Feature Selection for Hyperspectral Data Analysis Using a Binary Hierarchical Classifier and Tabu Search," Proc. 2003 International Geoscience and Remote Sensing Symposium, Toulouse, France, July 21-25, 297-299, 2003.

D. Korycinski, M.M. Crawford, and J.W. Barnes, "Adaptive Feature Selection for Hyperspectral Data Analysis," SPIE Conference on Image and Signal Processing for Remote Sensing IX, Barcelona, Spain, September 9-12, SPIE Proceedings, vol. 5238, 213-225, 2003.

M.M. Crawford, J. Ham, Y. Chen, and J. Ghosh, "Random Forests of Binary Hierarchical Classifiers for Analysis of Hyperspectral Data," Proc. IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data, Goddard Space Flight Center, Greenbelt, MD, Oct 27-28, (publication via CD), 2003. pdf

A.Henneguelle, J. Ghosh, and M.M. Crawford, "Polyline Feature Extraction for Land Cover Classification Using Hyperspectral Data," Proc. IICAI-2003, Hyderabad, India, Dec. 18-20, (publication via CD), 2003.

Y. Chen, M.M. Crawford, and J. Ghosh, "Integrating Support Vector Machines in a Hierarchical Output Decomposition Framework," Proc. 2004 International Geoscience and Remote Sensing Symposium, Anchorage, Alaska, Sept 20-24, 949-953, 2004.

S. Rajan and J. Ghosh , "An Empirical Comparison of Hierarchical vs. Two-Level Approaches to Multiclass Problems", in Multiple Classifier Systems, F. Roli, J. Kittler and T. Windeatt (Eds), LNCS 3077, Springer, pp. 283-292. pdf

Y. Chen, M.M. Crawford, and J. Ghosh, "Applying Nonlinear Manifold Learning to Hyperspectral Data for Land Cover Classification", International Geoscience and Remote Sensing Symposium, July 2005. pdf

S. Rajan and Joydeep Ghosh, "Exploiting Class Hierarchies for Knowledge Transfer in Hyperspectral Data", In N.C. Oza, R. Polikar, J. Kittler and F. Roli editors, Multiple Classifier Systems, pages 417-428, LNCS Vol.3541, Springer 2005. pdf

S. Rajan, J.Ghosh, and M. M. Crawford, "An Active Learning Approach to Knowledge Transfer for Hyperspectral Data Analysis", Accepted, IEEE International Geoscience and Remote Sensing Symposium, Colorado, August 2006. pdf

Y. Chen, M. M. Crawford and J. Ghosh, "Improved nonlinear manifold learning for land cover classification via intelligent landmark selection", In 2006 International Geosci. and Sens. Symposium, Denver, Colorado, USA July 31-August 04, 2006. pdf

 

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