Dr. James C Tilton

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Dr. James C Tilton

  • AST, DATA SYSTEMS
  • 301.286.9510 | 301.286.1776
  • NASA/GSFC
  • Mail Code: 606.3
  • Greenbelt , MD 20771
  • Employer: NASA
  • Brief Bio

    Dr. Tilton is currently a Computer Engineer with the Computational and Information Sciences and Technology Office (CISTO) of the Science and Exploration Directorate at the NASA Goddard Space Flight Center, Greenbelt, MD. As a member of CISTO, Dr. Tilton is responsible for designing and developing computer software tools for space and earth science image analysis, and encouraging the use of these computer tools through interactions with space and Earth scientists. His development of a recursive hierarchical segmentation algorithm has resulted in two patents and two other patent applications. 

    Dr. Tilton is a senior member of the IEEE Geoscience and Remote Sensing and Signal Processing Societies, and is a member of Phi Beta Kappa, Tau Beta Pi and Sigma Xi. From 1992 through 1996, he served as a member of the IEEE Geoscience and Remote Sensing Society Administrative Committee. Since 1996 he has served as an Associate Editor for the IEEE Transactions on Geoscience and Remote Sensing.

    Education

    Ph.D. Electrical Engineering, Purdue University, West Lafayette, IN, 1981.

    MS Optical Sciences, University of Arizona, Tucson, AZ, 1978.

    MEE (Electrical Engineering), Rice University, Houston, TX, 1976.

    BA Electrical Engineering, Environmental Science & Engineering, and Anthropology (cum laude), Rice University, Houston, TX, 1976.

    Selected Publications

    Refereed

    Tilton, J. C., G. Lin, and B. Tan. 2017. "Measurement of the Band-to-Band Registration of the SNPP VIIRS Imaging System From On-Orbit Data." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10 (3): 1056-1067 [10.1109/jstars.2016.2601561]

    Tilton, J. C., R. E. Wolfe, and G. Lin. 2017. "On-Orbit Line Spread Function Estimation of the SNPP VIIRS Imaging System From Lake Pontchartrain Causeway Bridge Images." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10 (11): 5056-5072 [10.1109/jstars.2017.2729879]

    Zhang, Z., E. Pasolli, M. M. Crawford, and J. C. Tilton. 2016. "An Active Learning Framework for Hyperspectral Image Classification Using Hierarchical Segmentation." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9 (2): 640-654 [10.1109/jstars.2015.2493887]

    Jung, J., E. Pasolli, S. Prasad, J. C. Tilton, and M. M. Crawford. 2014. "A Framework for Land Cover Classification Using Discrete Return LiDAR Data: Adopting Pseudo-Waveform and Hierarchical Segmentation." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7 (2): 491-502 [10.1109/jstars.2013.2292032]

    Wolfe, R., G. Lin, M. Nishihama, et al. K. P. Tewari, J. C. Tilton, and A. Isaacman. 2013. "Suomi NPP VIIRS prelaunch and on-orbit geometric calibration and characterization." Journal of Geophysical Research: Atmospheres, 118 (20): [10.1002/jgrd.50873]

    Fauvel, M., Y. Tarabalka, J. A. Benediktsson, J. Chanussot, and J. C. Tilton. 2013. "Advances in Spectral-Spatial Classification of Hyperspectral Images." Proceedings of the IEEE, 101 (3): 652-675 [10.1109/jproc.2012.2197589]

    Tilton, J. C., E. C. Brown de colstoun, R. E. Wolfe, B. Tan, and C. Q. Huang. 2012. "Generating ground reference data for a global impervious surface survey." Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International, (5993-5996): 5993-5996 [10.1109/IGARSS.2012.6352242]

    Tarabalka, Y., J. C. Tilton, J. A. Benediktsson, and J. Chanussot. 2012. "A Marker-Based Approach for the Automated Selection of a Single Segmentation From a Hierarchical Set of Image Segmentations." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 5 (1): 262-272 [10.1109/jstars.2011.2173466]

    Tilton, J. C., Y. Tarabalka, P. M. Montesano, and E. Gofman. 2012. "Best Merge Region-Growing Segmentation With Integrated Nonadjacent Region Object Aggregation." IEEE Transactions on Geoscience and Remote Sensing, 50 (11): 4454 - 4467 [10.1109/TGRS.2012.2190079]

    Tilton, J. C., J. A. Benediktsson, J. Chanussot, and J. C. Tilton. 2010. "Multiple Spectral-Spatial Classification Approach for Hyperspectral Data." IEEE Transactions on Geoscience and Remote Sensin, 48 (11): 4122-4132 [10.1109/TGRS.2010.2062526]

    Brief Bio

    Dr. Tilton is currently a Computer Engineer with the Computational and Information Sciences and Technology Office (CISTO) of the Science and Exploration Directorate at the NASA Goddard Space Flight Center, Greenbelt, MD. As a member of CISTO, Dr. Tilton is responsible for designing and developing computer software tools for space and earth science image analysis, and encouraging the use of these computer tools through interactions with space and Earth scientists. His development of a recursive hierarchical segmentation algorithm has resulted in two patents and two other patent applications. 

    Dr. Tilton is a senior member of the IEEE Geoscience and Remote Sensing and Signal Processing Societies, and is a member of Phi Beta Kappa, Tau Beta Pi and Sigma Xi. From 1992 through 1996, he served as a member of the IEEE Geoscience and Remote Sensing Society Administrative Committee. Since 1996 he has served as an Associate Editor for the IEEE Transactions on Geoscience and Remote Sensing.

    Selected Publications

    Refereed

    Tilton, J. C., G. Lin, and B. Tan. 2017. "Measurement of the Band-to-Band Registration of the SNPP VIIRS Imaging System From On-Orbit Data." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 10 (3): 1056-1067 [10.1109/jstars.2016.2601561]

    Tilton, J. C., R. E. Wolfe, and G. Lin. 2017. "On-Orbit Line Spread Function Estimation of the SNPP VIIRS Imaging System From Lake Pontchartrain Causeway Bridge Images." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 10 (11): 5056-5072 [10.1109/jstars.2017.2729879]

    Zhang, Z., E. Pasolli, M. M. Crawford, and J. C. Tilton. 2016. "An Active Learning Framework for Hyperspectral Image Classification Using Hierarchical Segmentation." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 9 (2): 640-654 [10.1109/jstars.2015.2493887]

    Jung, J., E. Pasolli, S. Prasad, J. C. Tilton, and M. M. Crawford. 2014. "A Framework for Land Cover Classification Using Discrete Return LiDAR Data: Adopting Pseudo-Waveform and Hierarchical Segmentation." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 7 (2): 491-502 [10.1109/jstars.2013.2292032]

    Wolfe, R., G. Lin, M. Nishihama, et al. K. P. Tewari, J. C. Tilton, and A. Isaacman. 2013. "Suomi NPP VIIRS prelaunch and on-orbit geometric calibration and characterization." Journal of Geophysical Research: Atmospheres 118 (20): [10.1002/jgrd.50873]

    Fauvel, M., Y. Tarabalka, J. A. Benediktsson, J. Chanussot, and J. C. Tilton. 2013. "Advances in Spectral-Spatial Classification of Hyperspectral Images." Proceedings of the IEEE 101 (3): 652-675 [10.1109/jproc.2012.2197589]

    Tilton, J. C., E. C. Brown de colstoun, R. E. Wolfe, B. Tan, and C. Q. Huang. 2012. "Generating ground reference data for a global impervious surface survey." Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International 5993-5996 [10.1109/IGARSS.2012.6352242]

    Tarabalka, Y., J. C. Tilton, J. A. Benediktsson, and J. Chanussot. 2012. "A Marker-Based Approach for the Automated Selection of a Single Segmentation From a Hierarchical Set of Image Segmentations." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 5 (1): 262-272 [10.1109/jstars.2011.2173466]

    Tilton, J. C., Y. Tarabalka, P. M. Montesano, and E. Gofman. 2012. "Best Merge Region-Growing Segmentation With Integrated Nonadjacent Region Object Aggregation." IEEE Transactions on Geoscience and Remote Sensing 50 (11): 4454 - 4467 [10.1109/TGRS.2012.2190079]

    Tilton, J. C., J. A. Benediktsson, J. Chanussot, and J. C. Tilton. 2010. "Multiple Spectral-Spatial Classification Approach for Hyperspectral Data." IEEE Transactions on Geoscience and Remote Sensin 48 (11): 4122-4132 [10.1109/TGRS.2010.2062526]

                                                                                                                                                                                            
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