Image Information Mining in Time Series

IIM-TS DIT-PRJ-07-005

Status NOT active project
DISI role Partner
Project type Research Project
Dimension International
Acquisition date 2006-12-01
Start date 2006-12-01
End date 2009-11-30

Project details

Project astract This project deals with the defintion of effective image mining methodologies and prototypes for the analysis of temporal series of remote sensing images. This is one of the most important and challenging issues the remote sensing community will face in the forthcoming years. Its importance and timeliness are directly related to the ever-increasing quantity of multi-temporal data provided by the numerous remote sensing satellites that orbit our planet. The synergistic use of multi-temporal remote sensing data and advanced analysis methodologies results in the possibility of solving complex problems related to the monitoring of the Earth surface and atmosphere at different scales. However, the advances in the methodologies for the analysis of multi-temporal data have been significantly under-illuminated with respect to other remote sensing data analysis topics. In addition, the link between the end-users' needs and the scientific community needs to be strengthened.<br/><br/>
Keywords Remote Sensing, Data Mining, Environmental Applications, Prototypes Development
Fundings 0 €
Partners
  • CNES
  • DLR
  • Advanced Computer Systems (ACS)
  • DIT - UniTN
  • University of Pavia
  • ENST
  • Sarmap
  • VTT Technical Research Centre
  • Iguassu Software Systems a.s. (ISS)

DISI Sub-project details

Project astract DIT is the coordinator of all the scientific activity of the project and will act as main scientific advisor. In the frame of this project DIT is proposed to play a primary role in the definition of the methodologies (e.g., change detection, multitemporal classification, analysis of time series of signals and images, etc.) , in the selection of the algorithms subject to prototyping and of the applications to be considered (e.g. content-based retrieval, urban monitoring, nuclear safeguard, agriculture, etc), and in their validation interacting with the identified users.
Keywords Remote Sensing, Data Mining, Pattern Recognition, Image processing, Time series, Environmental Applications
Fundings 110880 €
Manager Lorenzo Bruzzone