A High-volume Fusion and Analysis Platform for Geospatial Point Clouds, Coverages and Volumetric Data Sets
Short Title: IQmulus
Principal Investigator: Michela Spagnuolo
Funding Body
EU FP7-ICT-2011-318787
Year of start/end
2012 / 2016 (Ended)
PDGP CODE
EU.318787
Project Web SiteActivity
IQmulus will leverage the information hidden in large heterogeneous geospatial data sets and make them a practical choice to support reliable decision making
Recent emergencies, such as the toxic industrial mud spill in Ajka, Hungary, in October 2010, and the flooding rain in Genova, Italy, in November 2011, have emphasized the fact that actually a lot of crucial information is indeed contained in existing large geospatial datasets but it is hidden and in no way integrated in ongoing decision processes. Valuable knowledge could be extracted from this data but currently the hidden information is typically only accessed in hindsight for damage assessment and knowledge only derived in a belated "what went wrong" analysis.
The IQmulus concept was developed to do something about this situation. Its goal is to use cutting edge computational approaches for data fusion and data analysis as well as cloud infrastructures and graphical processing units to make crucial information from extremely large geospatial datasets available on time and to derive and visualize important knowledge for the relevant level of decision making.
Linked Products
- 2017, Journal article
Accurate and efficient computation of Laplacian spectral distances and kernels
G. Patané - 2017, Journal article
Comparing methods for the approximation of rainfall fields in environmental applications
G. Patané, A. Cerri, V. Skytt, S. Pittaluga, S. Biasotti, D. Sobrero, T. Dokken, and M. Spagnuolo - 2017, Journal article
Processing large geometric datasets in distributed environments
D. Cabiddu and M. Attene - 2015, Journal article
3D artifacts similarity based on the concurrent evaluation of heterogeneous properties
S. Biasotti, A. Cerri, B. Falcidieno, and M. Spagnuolo - 2015, Journal article
Large mesh simplification for distributed environments
D. Cabiddu and M. Attene - 2015, Editorial in journal
Preface to the special session on Processing of Large Geospatial Data
Boehm, Jan; Lindenbergh, Roderik; Spagnuolo, Michela - 2015, Journal article
Shapes in a box: Disassembling 3D objects for efficient packing and fabrication
M. Attene - 2016, Essay or book chapter
Applications to surface approximation and rainfall analysis
G. Patanè, A. Cerri, V. Skytt , S. Pittaluga, S. Biasotti, D. Sobrero, T. Dokken, and M. Spagnuolo - 2016, Essay or book chapter
Chapter 1. Spatio-temporal data fusion
R. Lindenbergh, R. Giachetta, and G. Patanè - 2016, Essay or book chapter
Feature extraction
S. Biasotti, A. Cerri, G. Patanè, and M. Spagnuolo - 2016, Essay or book chapter
Spatial and environmental data approximation
V. Skytt, G. Patanè, O. Barrowclough, T. Dokken, and M. Spagnuolo - 2015, Essay or book chapter
Shape analysis and description using real functions
S. Biasotti, A. Cerri, M. Spagnuolo, and B. Falcidieno - 2016, Conference proceedings
The coherent matching distance in 2D persistent homology
A. Cerri, M. Ethier, and P. Frosini - 2016, Conference proceedings
Tracking the evolution of rainfall precipitation fields using persistent maxima
S. Biasotti, A. Cerri, S. Pittaluga, D. Sobrero, and M. Spagnuolo - 2015, Conference proceedings
A comparison of methods for the approximation and analysis of rainfall fields in environmental applications
G. Patane', A. Cerri, V. Skytt, S. Pittaluga, S. Biasotti, D. Sobrero, T. Dokken, and M. Spagnuolo - 2015, Conference proceedings
Volumetric heat Kernel: Padé-Chebyshev approximation, convergence, and computation
G. Patanè - 2016, Curatorship of books
Heterogenous spatial data: Fusion, modeling, and analysis for GIS applications
G. Patanè and M. Spagnuolo (Editors) - 2015, Curatorship of conference proceedings
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XL-3/W3
M. Brédif, G. Patanè and T. Dokken - 2016, Technical report
Comparing methods for the approximation of rainfall fields in environmental applications
G. Patané, A. Cerri, V. Skytt, S. Pittaluga, S. Biasotti, D. Sobrero, T. Dokken, and M. Spagnuolo - 2016, Technical report
Persistence-based tracking of rainfall field maxima
S. Biasotti, A. Cerri, S. Pittaluga, D. Sobrero, and M. Spagnuolo - 2014, Research report
Deliverable D8.8.2 - Report on the IQmulus Processing Contest - Year 2
S. Biasotti, M. Attene, B.G.H. Gorte, J. Boehm, N. Paparoditis, H. Piete, and D. Kristof - 2013, Research report
D4.1.1 Development Guidelines for Data Integration and Processing - Version 1
G. Patanè (Editor), M. Spagnuolo, S.Biasotti, A. Cerri, B. Falcidieno, J. Boehm, S. Julier, D. Backes, D. Kristof, M. Belenyesi, I. Laszlo, R. Giachetta, G.Nadorm, I. Fekkete, D. Gera, T. Dokken, V. Skytt, R, Lindenbergh, B. Sirmacek, J.s Populus, and T. Bajjouk - 2013, Technical report
Installazione e configurazione sistema HPC IMATI-IQmulus
C. Pizzi and P. Bruno