Pakorn Watanachaturaporn, Ph.D.
Affiliations: | 2005 | Syracuse University, Syracuse, NY, United States |
Area:
Electronics and Electrical EngineeringGoogle:
"Pakorn Watanachaturaporn"Parents
Sign in to add mentor| Pramod K. Varshney | grad student | 2005 | Syracuse | |
| (Classification of remote sensing images using support vector machines.) | ||||
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Publications
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| Watanachaturaporn P, Arora MK, Varshney PK. (2008) Multisource Classification Using Support Vector Machines Photogrammetric Engineering & Remote Sensing. 74: 239-246 |
| Watanachaturaporn P, Arora MK, Varshney PK. (2008) Multisource classification using support vector machines: An empirical comparison with decision tree and neural network classifiers Photogrammetric Engineering and Remote Sensing. 74: 239-246 |
| Watanachaturaporn P, Arora MK, Varshney PK. (2006) Sub-pixel land cover classification using support vector machines American Society For Photogrammetry and Remote Sensing - Annual Conference of the American Society For Photogrammetry and Remote Sensing 2006: Prospecting For Geospatial Information Integration. 3: 1575-1584 |
| Watanachaturaporn P, Varshney PK, Arora MK. (2005) Multisource fusion for land cover classification using support vector machines 2005 7th International Conference On Information Fusion, Fusion. 1: 614-621 |
| Xu M, Watanachaturaporn P, Varshney PK, et al. (2005) Decision tree regression for soft classification of remote sensing data Remote Sensing of Environment. 97: 322-336 |
| Watanachaturaporn P, Arora MK, Varshney PK. (2005) Hyperspectral image classification using support vector machines: A comparison with decision tree and neural network classifiers American Society For Photogrammetry and Remote Sensing - Annual Conference 2005 - Geospatial Goes Global: From Your Neighborhood to the Whole Planet. 2: 1130-1138 |
| Shah CA, Watanachaturaporn P, Varshney PK, et al. (2004) Some recent results on hyperspectral image classification 2003 Ieee Workshop On Advances in Techniques For Analysis of Remotely Sensed Data. 346-353 |