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Kerry  Cawse-Nicholson's Picture
Address:
Jet Propulsion Laboratory
M/S 183-518
4800 Oak Grove Drive
Pasadena, CA 91109
Phone:
818.354.1594
Email Contact:
Curriculum Vitae:

Kerry Cawse-Nicholson
Scientist

Kerry Cawse-Nicholson received the Ph.D. degree in computational and applied mathematics from the University of the Witwatersrand, Johannesburg, South Africa, in 2012. She completed the Ph.D. degree while at the Council for Scientific and Industrial Research, Pretoria, South Africa. Since that time, she has completed postdoctoral work at the Rochester Institute of Technology, Rochester, NY, USA, and worked at Southern Mapping Company and TerraCore. Dr Cawse-Nicholson is currently a scientist at JPL. Her research interests include the application of remote sensing to ecological applications, with a special focus on hyperspectral data.


Education

Ph.D.,Computational and Applied Mathematics, University of the Witwatersrand (2012)

M.S., Computational and Applied Mathematics, University of the Witwatersrand (2009)

B.S., Computational and Applied Mathematics, University of the Witwatersrand (2008)


Research Interests

Hyperspectral imagery

Image unmixing

Image classification

Thermal imagery

 


Professional Experience

Scientist, Jet Propulsion Laboratory (2016 – present)

Image Processing Specialist, TerraCore Africa (2015 – 2016)

Remote Sensing Specialist, Southern Mapping Company (2014 – 2015)

Postdoctoral Research Assistant, Center for Imaging Science, Rochester
Institute of Technology (2012 – 2014)

Student Researcher, Council for Scientific and Industrial Research
(2009 – 2012)

 


Selected Publications
  1. D. Kelbe, J. van Aardt, P. Romanczyk, M. van Leeuwen, K. Cawse-Nicholson, Marker-free registration of forest terrestrial laser scanner data pairs with embedded confidence metrics, IEEE Transactions on Geoscience and Remote Sensing (TGARS), accepted for publication in 2016.
  2. A. Robin, K. Cawse-Nicholson, A. Mahmood, M. Sears, Estimation of the Intrinsic Dimension of Hyperspectral Images: Comparison of Current Methods, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), Vol. 8 (6), pp. 2854 – 2861, 2015.
  3. D. Kelbe, J. van Aardt, P. Romanczyk, M. van Leeuwen, K. Cawse-Nicholson, Single-scan stem reconstruction using sparse terrestrial laser scanner data, Journal of Selected Topics in Applied Earth Observation and Remote Sensing (JSTARS), Vol. 8 (7), pp. 3414 – 3427, 2015.
  4. J. McGlinchy, J. van Aardt, B. Erasmus, G. Asner, R. Mathieu, K. Wessels, D. Knapp, T. Kennedy-Bowdoin, H. Rhody, J. Kerekes, E. Ientilucci, J. Wu, D. Sarrazin, K. Cawse-Nicholson, Extracting structural vegetation components from smallfootprint waveform lidar for biomass estimation in Savanna ecosystems, Journal of Selected Topics in Applied Earth Observation and Remote Sensing (JSTARS), Vol. 7 (2), pp. 480 – 490, 2014.
  5. K. Cawse-Nicholson, S. Damelin, A. Robin, M. Sears, Determining the intrinsic dimension of a hyperspectral image using Random Matrix Theory, IEEE Transactions on Image Processing, Vol. 22 (4), pp. 1301 –1310, 2013.
  6. K. Cawse-Nicholson, A. Robin, M. Sears, The effect of correlation on determining the intrinsic dimension of a hyperspectral image, Journal of Selected Topics in Applied Earth Observation and Remote Sensing, Vol. 6 (2), pp. 482 – 487, 2013.
  7. P. Romanczyk, J. van Aardt, K. Cawse-Nicholson, D. Kelbe, J. McGlinchy, K. Krause, Assessing the impact of broadleaf tree structure on airborne full-waveform small-footprint lidar signals through simulation, Canadian Journal of Remote Sensing, Vol 39 (S1), pp. S60 – S72, 2013.
  8. J. Wu, K. Cawse-Nicholson, J. van Aardt, 3D tree reconstruction from small footprint waveform lidar, Photogrammetric Engineering and Remote Sensing (PE&RS), Vol. 79 (12), pp. 1147 – 1157, 2013.

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