Mario Parente

Assistant Professor

Knowles 113D

113D Knowles Engineering Building
University of Massachusetts
151 Holdsworth Way
Amherst, MA 01030

mparente@ecs.umass.edu

(413) 545-6860

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Education

B.S. Telecommunication Engineering, University "Federico II" of Naples, Italy , 2001
M.S. Telecommunication Engineering, University "Federico II" of Naples, Italy, 2003
M.S. Electrical Engineering, Stanford University, 2005
Ph.D. Electrical Engineering, Stanford University, 2010

Research

Remote Sensing of planetary and terrestrial surfaces and atmospheres, hyperspectral signal and image processing, machine learning, manifold learning, clustering, spectroscopy, physical and statistical modeling of light scattering phenomena, spectrometer signal calibration, simulation and denoising.

Publications

M. Parente and J.F. Mustard (2011) Automated Summarization of Hyperspectral Images: Application to Mars, IEEE Transactions on Geoscience and Remote Sensing, to appear.
M. Parente, H. Mackarevicz and J. L. Bishop. (2011) Decomposition of mineral absorption bands using nonlinear least squares curve fitting: application to Martian meteorite and CRISM data, Planetary and Space Science, 59, pp. 423-442, doi:10.1016/j.pss.2011.01.009.
M. Parente , J.T. Clark, A. Brown and J.L. Bishop (2010) End-to-end simulation and analytical of remote sensing systems: application to CRISM, IEEE Transactions on Geoscience and Remote Sensing , vol. PP, issue 99, DOI: 10.1109/TGRS.2010.2050000, p. 1-12.
M. Parente, J. L. Bishop and J. F. Bell III, (2009), Spectral unmixing and anomaly detection for mineral identification in Pancam images of Gusev soils, Icarus, Vol 203, N. 2, p. 421-436.
Bishop J. L., Noe Dobrea E. Z., McKeown N. K., Parente M., Ehlmann B. L., Michalski J. R., Milliken R. E., Poulet F., Swayze G. A., Mustard J. F., Murchie S. L., and Bibring J.-., P. (2008). Phyllosilicate diversity and past aqueous activity revealed at Mawrth Vallis, Mars. Science 321, DOI: 10.1126/science.1159699, pp. 830-833.

Links

Lab Affiliation:

Microwave Remote Sensing Lab

Remote Hyperspectral Observer (RHO) group

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