4 results on '"Matej Batic"'
Search Results
2. The Φ-Sat-1 Mission: The First On-Board Deep Neural Network Demonstrator for Satellite Earth Observation
- Author
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Chris van Dijk, Matej Batic, Gabriele Meoni, Marco Esposito, Massimiliano Pastena, Nathan Vercruyssen, Josef Aschbacher, Gianluca Furano, Luca Fanucci, Leonie Buckley, John Hefele, Aubrey K. Dunne, and Gianluca Giuffrida more...
- Subjects
Artificial intelligence ,microsatellite ,Earth observation ,Hyperspectral imaging ,on-the edge ,Satellites ,Computer science ,Φ-Sat-1 ,AI ,Cloud computing ,Earth ,Earth Observation ,hyperspectral ,nanosatellite ,Orbits ,satellite camera ,segmentation network ,Space vehicles ,synthetic dataset ,Real-time computing ,Convolutional neural network ,Field (computer science) ,Robustness (computer science) ,Electrical and Electronic Engineering ,Artificial neural network ,business.industry ,Software deployment ,General Earth and Planetary Sciences ,Hardware acceleration ,business - Abstract
Artificial intelligence is paving the way for a new era of algorithms focusing directly on the information contained in the data, autonomously extracting relevant features for a given application. While the initial paradigm was to have these applications run by a server hosted processor, recent advances in microelectronics provide hardware accelerators with an efficient ratio between computation and energy consumption, enabling the implementation of artificial intelligence algorithms ‘at the edge’. In this way only the meaningful and useful data are transmitted to the end-user, minimising the required data bandwidth, and reducing the latency with respect to the cloud computing model. In recent years, European Space Agency is promoting the development of disruptive innovative technologies on-board Earth Observation missions. In this field, the most advanced experiment to date is the Φ-sat-1, which has demonstrated the potential of Artificial Intelligence as a reliable and accurate tool for cloud detection on-board a hyperspectral imaging mission. The activities involved included demonstrating the robustness of the Intel Movidius Myriad 2 hardware accelerator against ionising radiation, developing a Cloudscout segmentation neural network, run on Myriad 2, to identify, classify, and eventually discard on-board the cloudy images, and assessing of the innovative Hyperscout-2 hyperspectral sensor. This mission represents the first official attempt to successfully run an AI Deep Convolutional Neural Network (CNN) directly inferencing on a dedicated accelerator on-board a satellite, opening the way for a new era of discovery and commercial applications driven by the deployment of on-board AI. more...
- Published
- 2022
- Full Text
- View/download PDF
Catalog
3. Natural color representation of Sentinel-2 data
- Author
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Grega Milcinski, Miha Kadunc, Matej Batic, and Blaž Sovdat
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Service (systems architecture) ,Earth observation ,Color representation ,010504 meteorology & atmospheric sciences ,Basis (linear algebra) ,Computer science ,business.industry ,0208 environmental biotechnology ,Multispectral image ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Soil Science ,Geology ,02 engineering and technology ,01 natural sciences ,020801 environmental engineering ,Product (mathematics) ,Natural (music) ,Satellite imagery ,Computer vision ,Artificial intelligence ,Computers in Earth Sciences ,business ,0105 earth and related environmental sciences ,Remote sensing - Abstract
The true color composite is a widely used Earth observation product for displaying satellite imagery. As it is often used in communication with non-expert audiences in various media, it is desirable that such a product approximates the color perceived by the human eye. Additionally, as the Sentinel-2 mission with its high resolution multispectral imagery and short revisit times is delivering unprecedented amounts of data, any algorithm for computing the composite should be efficient. In this paper we define the natural color product, propose two efficient approaches for computing it, analyze the results, and implement the products on a satellite imagery service for interactive use. Our algorithms work on a per-pixel basis and hence parallelize naturally. The presented approaches are general and not limited to Sentinel-2 data. more...
- Published
- 2019
- Full Text
- View/download PDF
4. Validation of Cross Sections for Monte Carlo Simulation of the Photoelectric Effect
- Author
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Matej Batic, Maria Grazia Pia, Paolo Saracco, Han Sung Kim, Chan Hyeong Kim, Min Cheol Han, Gabriela Hoff, and Tullio Basaglia
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Nuclear and High Energy Physics ,Photon ,010308 nuclear & particles physics ,Monte Carlo method ,Other Fields of Physics ,FOS: Physical sciences ,Experimental data ,Probability and statistics ,Photoionization ,Computational Physics (physics.comp-ph) ,01 natural sciences ,L-shell ,Computational physics ,Test case ,Nuclear Energy and Engineering ,Physics - Data Analysis, Statistics and Probability ,Ionization ,0103 physical sciences ,Electrical and Electronic Engineering ,010306 general physics ,Physics - Computational Physics ,Data Analysis, Statistics and Probability (physics.data-an) ,Mathematics - Abstract
Several total and partial photoionization cross section calculations, based on both theoretical and empirical approaches, are quantitatively evaluated with statistical analyses using a large collection of experimental data retrieved from the literature to identify the state of the art for modeling the photoelectric effect in Monte Carlo particle transport. Some of the examined cross section models are available in general purpose Monte Carlo systems, while others have been implemented and subjected to validation tests for the first time to estimate whether they could improve the accuracy of particle transport codes. The validation process identifies Scofield's 1973 non-relativistic calculations, tabulated in the Evaluated Photon Data Library(EPDL), as the one best reproducing experimental measurements of total cross sections. Specialized total cross section models, some of which derive from more recent calculations, do not provide significant improvements. Scofield's non-relativistic calculations are not surpassed regarding the compatibility with experiment of K and L shell photoionization cross sections either, although in a few test cases Ebel's parameterization produces more accurate results close to absorption edges. Modifications to Biggs and Lighthill's parameterization implemented in Geant4 significantly reduce the accuracy of total cross sections at low energies with respect to its original formulation. The scarcity of suitable experimental data hinders a similar extensive analysis for the simulation of the photoelectron angular distribution, which is limited to a qualitative appraisal., To be published in IEEE Trans. Nucl. Sci more...
- Published
- 2016
- Full Text
- View/download PDF
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