P
Paolo Antonelli
Researcher at University of Wisconsin-Madison
Publications - 28
Citations - 474
Paolo Antonelli is an academic researcher from University of Wisconsin-Madison. The author has contributed to research in topics: Radiance & Hyperspectral imaging. The author has an hindex of 9, co-authored 26 publications receiving 434 citations.
Papers
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Journal ArticleDOI
Application of Principal Component Analysis to High-Resolution Infrared Measurement Compression and Retrieval
Hung-Lung Huang,Paolo Antonelli +1 more
TL;DR: In this paper, a simulation study is used to demonstrate the application of principal component analysis to both the compression of, and meteorological parameter retrieval from, high-resolution infrared spectra.
Journal ArticleDOI
A principal component noise filter for high spectral resolution infrared measurements
Paolo Antonelli,Henry E. Revercomb,Lawrence A. Sromovsky,William L. Smith,Robert O. Knuteson,David C. Tobin,Raymond K. Garcia,H. B. Howell,Hung-Lung Huang,Fred A. Best +9 more
TL;DR: In this paper, principal component analysis (PCA) was applied to reduce the random noise present in the hyperspectral infrared observations, and the results obtained depend on the variability of selected sets of observations and on specific instrument characteristics such as spectral resolution and noise statistics.
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An Improvement to the High-Spectral-Resolution CO2-Slicing Cloud-Top Altitude Retrieval
Robert E. Holz,Steve Ackerman,Paolo Antonelli,F. Nagle,Robert O. Knuteson,Matthew J. McGill,Dennis L. Hlavka,William D. Hart +7 more
TL;DR: In this article, an improvement to high-spectral-resolution infrared cloud-top altitude retrievals is compared to existing retrieval methods and cloud lidar measurements using CO2 sorting, which determines optimal channel pairs to which the CO2 slicing retrieval will be applied.
Journal ArticleDOI
Inversion for atmospheric thermodynamical parameters of IASI data in the principal components space
TL;DR: Retrieval exercises performed in simulation and with real observations lead us to conclude that the principal components space-based inverse approach is potentially superior over the current practice of using sparse channels.
Journal ArticleDOI
EAQUATE: An International Experiment for Hyper-Spectral Atmospheric Sounding Validation
Jonathan P. Taylor,William L. Smith,Vincenzo Cuomo,Allen M. Larar,D. K. Zhou,Carmine Serio,Tiziano Maestri,Rolando Rizzi,Stuart M. Newman,Paolo Antonelli,Stephen A. Mango,P. Di Girolamo,Francesco Esposito,Giuseppe Grieco,Donato Summa,R. Restieri,Guido Masiello,Filomena Romano,Gelsomina Pappalardo,Giulia Pavese,Lucia Mona,Aldo Amodeo,G. Pisani +22 more
TL;DR: The European AQUA Thermodynamic Experiment (EAQUATE) was held in Italy and the United Kingdom to demonstrate certain ground-based and airborne systems useful for validating hyperspectral satellite sounding observations as mentioned in this paper.