Melba M. Crawford

Associate Dean of Engineering for Research

Professor of Agronomy, Civil Engineering, and

Electrical & Computer Engineering 

Department:  Department of Agronomy
Phone: 765.496.9355
Fax: 765.496.2926
Office: Lilly 3-353
E-mail: melbac@purdue.edu

Personal Web Page

Curriculum Vitae
Area of Expertise: Methods in statistical pattern recognition for high dimensional data analysis, data fusion techniques for multisensor problems, multiresolution methods in image analysis, and knowledge transfer in data mining.

Other Appointments

Civil Engineering and Director of Laboratory for Applications of Remote Sensing (LARS)

Specialty Group

Geomatics Engineering

Recent Publications

L. Ma and M.M. Crawford, “Local Manifold Learning Based K-Nearest Neighbor for Hyperspectral Image Classification,” IEEE Transactions on Geoscience and Remote Sensing, 48(11), 4099-4109, 2010.

W. Kim and M.M. Crawford, “Adaptive Classification of Hyperspectral Image Data using Manifold Regularization Kernel Machines,” IEEE Trans. on Geoscience and Remote Sensing, 48(11), 4110-4121, 2010.

W. Kim, M.M. Crawford, and S. Lee, “Integrating Spatial Proximity with Manifold Learning for Hyperspectral Data, Korean Journal of Remote Sensing 26(6), 693-703, 2010.

W. Di and M.M. Crawford, “Active Learning via Multi-View and Local Proximity Co-regularization for Hyperspectral Image Classification,” IEEE Journal of Selected Topics in Signal Processing, 5(3), 618-628, 2011.

J. Jung and M.M. Crawford, “Decomposition of Waveform LIDAR Data for Terrestrial Applications,” IEEE Geoscience and Remote Sensing Letters, in review.

B. Naz, L. Bowling, and M. Crawford, “Spatial and Temporal Glacier Changes in the Central Karakoram Himalaya Derived from Landsat Satellite and Climate Data,” Journal of Glaciology, in review.

W. Di and M.M. Crawford, “View Generation for Multi-view Maximum Disagreement Based Active Learning for Hyperspectral Image Classification, IEEE Transactions on Geoscience and Remote Sensing, in review.

B. Naz, L. Bowling, M. Crawford, “Quantification of Glacier Changes Using ICESat Elevation Data and the SRTM Digital Elevation Model in the Upper Indus Basin,” Journal of Glaciology, in review.

W. Di and M. M. Crawford, “Critical Class Oriented Active Learning for Hyperspectral Image Classification,” 2011 IEEE Geoscience and Remote Sensing Symposium, July 25-29, Vancouver, BC, 2011, accepted.

M. Galloza and M.M. Crawford, “Exploiting Multisensor Spectral Data to Estimate Crop Residue Cover for Management of Agricultural Water Quality,” 2011 IEEE Geoscience and Remote Sensing Symposium, July 25-29, Vancouver, BC, 2011, accepted.

Recent Book Chapter

M. Crawford, L. Ma, W. Kim, “Exploring Nonlinear Manifold Learning for Classification of Hyperspectral Data,” in Optical Remote Sensing: Advances in Signal Processing and Exploitation Techniques, S. Prasad, J. Chanussot, L. Bruce (Eds), Springer Verlag, London, 2011.

Professional Experience

Honors and Awards 

Education

Date joined Staff: 2006​​​​​