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Selected Recent Publications (from a list of over 200):
Selected Books and Monographs
Cakir, H. I., S. A. Nelson, and S. Khorram, in revision, Effects of Image Misregistration on Data Fusion, In: Image Registration for Earth Science / Editors: Jacqueline Le Moigne, Nathan Netanyahu, Roger Eastman, Cambridge Press.
Dai, X. L., and S. Khorram, in revision, Feature-Based Image Registration by Chain Code Representation and Moment Invariants., In: Image Registration for Earth Science / Editors: Jacqueline Le Moigne, Nathan Netanyahu, Roger Eastman, Cambridge Press.
Knight, J.F., R.L. Lunetta, J. Ediriwickrema, and S. Khorram, 2006, Regional Scale Land-Cover Characterization using MODIS-NDVI 250 m Multi-Temporal Imagery: A Phenology Based Approach. GIScience and Remote Sensing, 43(1), 1-23.
Khorram, S., J. F. Knight, and H. I. Cakir, 2004. “Thematic Accuracy Assessment of Regional Scale Land-Cover Data”, Chapter in Remote Sensing and GIS Accuracy, Ross Lunetta and John Lyon, Chapter 7, pp. 107-124.
Ediriwickrema, D.J. and S. Khorram, 2001, “Image Classification.” 24 vol. Encyclopedia of Electrical and Electronics Engineering, J.G. Webster (ed.), New York: John Wiley & Sons, Inc., Vol. 3, 41 p.
Khorram, S., G.S. Biging, N.R. Chrisman, D.R. Colby, R.G. Congalton, J.E. Dobson, R.L. Ferguson, M.F. Goodchild, J.R. Jensen, and T.H. Mace, 1999, Monograph, “Accuracy Assessment of Remote Sensing-Derived Change Detection,” American
Society of Photogrammetry, 78 p.
Khorram, S. 2000. “Digital Image Processing” Chapter in Keys to Space, McGraw-Hill, ISBN 007-029438-0, pp. 15-26.
Patents, Pending Final Approval
Cakir, Halil I., & Siamak Khorram, Methods, systems and computer program products for fusion of high spatial resolution imagery with low-spatial but high-spectral resolution imagery using correspondence analysis, November 4, 2004, US Patent Appl. No: 10/982,054.
Cakir, Halil I., & Siamak Khorram, Methods, systems and computer program products for fusion of high spatial resolution imagery with lower spatial resolution imagery using a multiresolution approach, November 4, 2004, US Patent Appl. No: 10/982,422.
Selected Journal Articles
Cakir, H. I., and S. Khorram. 2008. Correspondence Analysis Fusion, Photogrammetric Engineering & Remote Sensing. 74(2):183–192.
Hester, D. B., H. I. Cakir, S. A. C. Nelson, and S. Khorram, 2008. Per-pixel classification of high spatial resolution satellite imagery for urban land cover mapping, Photogrammetric Engineering & Remote Sensing, 74(4): 463-471.
Cakir, H. I., Khorram, S., & Nelson, S. A. 2006, Correspondence Analysis Approach for Detecting Land Use Land Cover Changes, Remote Sensing of Environment. 102(3-4): 306-317 (Top 25 Hottest Article).
Yuan, H. and S. Khorram, 2005. Development of a two-stage neural network-based land cover mapping system using multisource remotely sensed data, International Journal of Remote Sensing, 1:744-754
Morisette, J.T. and S. Khorram, 2003, Exact Confidence Interval for Proportions,Photogrammetric Engineering and Remote Sensing, 66(7):875-880.
Yuan, H. and S. Khorram, 2002. Development and Evaluation of Land-Use/Land-Cover Classification Systems using Simulated Annealing, Geoscience and Remote Sensing Transactions, IEEE, 14 p.
Dai, X. and S. Khorram. 2001, A Feature based Image Registration Algorithm using Improved Chain Code Representation Combined with Moment Invariants, Journal of IEEE Transactions on Geoscience and Remote Sensing, IEEE, 37(5): 2351-2362.
Morisette, J.T. and S. Khorram. 2000, Accuracy Assessment Curves for Satellite-Based Change Detection, Photogrammetric Engineering and Remote Sensing.66(7): 875-880.
Morisette, J.T., S. Khorram, and T. Mace.2000, “Probability Modeling of Change Detection Sensing Data,” International Journal of Remote Sensing, 20(14): 2703-2721.
Dai, X. and S. Khorram. 1999, "Data Fusion using Artificial Neural Networks: A Case Study on Multitemporal Image Analysis," Journal of Computers, Environment and Urban Systems, vol 23, pp. 19-31.
Dai, X. and S. Khorram. 1999, "Remotely Sensed Change Detection based on Artificial Neural Networks," Journal of Photogrammetric Engineering and Remote Sensing, vol. 65, no. 10, pp1187-1194.
Morisette, J.T., S. Khorram, and T. Mace.2000, “Probability Modeling of Change Detection Sensing Data,” International Journal of Remote Sensing, vol.20, no. 14, pp 2703-2721\.
Karimi, H.A., X. Dai, A.J. Khattak, S. Khorram, and J.E. Hummer. 1998, "The Emergence of High_Resolution Satellite Digital Imagery for Acquisition Roadway Inventory Features, " Space Energy and Transportation, vol.3, no.1, pp. 19-29.
Brockhaus, J.A., J. Ediriwickrema, H.Cheshire, and S. Khorram. 1997, “Database Development from Spectral Mixture Analysis for Use in Biogenic Emission Models.” Geocarto International, Vol. 12, No. 1, pp. 71-77.
Ediriwickrema, D.J.,. and S. Khorram. 1997, “Hierarchical Maximum Likelihood Classification for Improved Accuracies.” IEEE Transactions on Geoscience and Remote Sensing, 35(4):810-816
Stallings, C., S. Khorram, and R.L. Huffman. 1995, “Spatial simplification of input data for hydrologic models: its effect on map accuracy and model results.” In: AutoCarto XII. p341-354.
Khorram, S., J.A. Brockhaus, and H.M. Cheshire. 1987, "Comparison of Landsat MSS and TM Data for Urban Land-Use Classification," IEEE Transaction on Geoscience and Remote Sensing, Vol. GE-25, No. 2, pp. 237-244.
Catts, G.P., S. Khorram, J.E. Cloern, A.W. Knight, and S.D. DeGloria. 1985, "Remote Sensing of Tidal Chlorophyll-a Variations in Estuaries," International Journal of Remote Sensing, Vol. 6, No. 11, pp. 1685-1706.
Khorram, S., 1985, "Development of Water Quality Models Applicable Throughout the Entire San Francisco Bay and Delta," Photogrammetric Engineering and Remote Sensing, Vol. 51, No. 1, pp. 53-62.
Khorram, S., and H.M. Cheshire. 1985, "Remote Sensing of Water Quality in the Neuse River Estuary, North Carolina," Photogrammetric Engineering and Remote Sensing, Vol, 51, No. 3, pp. 329-341
Khorram, S., and E.F. Katibah. 1984, "Vegetation Mapping of Wildland Areas Using Landsat Digital Data,", Journal of Forest Science, SAF, Vol. 30, No. 1, pp. 248-258.
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