Remote sensing (RS) has evolved as an interdisciplinary research field in earth sciences and surveillance applications. RS is expected to give a more and more substantial contribution in understanding the planet earth system and in detecting/monitoring important phenomena related to human activity. The capability of sensing physical properties of the surface and of relating them to changes in the environment is making RS an important scientific tool for supporting fundamental lifestyle and policy decisions concerning sustainable relationships between the human kind and the environment. Newest sensors have increased sensitivity and resolution in the spectral, spatial and temporal domains. This has improved the ability of sensing geophysical parameters and of following their spatial distribution and temporal evolution. However, the increased complexity and dimensionality of the acquired data has also increased the difficulties for image analysts or end users that definitely need to be assisted by specialized automatic signal and image processing procedures in order to extract the important information from the data themselves. Of course, the same reasoning holds also in application fields other than geosciences. For example, in surveillance systems the combination of sensors operating in different spectral domains may lead to a better understanding of the monitored area but require automatic methods for integrating data gathered by the different sources in a fashion that can be easily interpreted by a human operator. Thus, the exploitation of remotely sensed data is strictly related to the development of intelligent processing tools capable of learning models from the available data, of extracting the relevant information, and of conveying it to the end user in a manageable format. This process of defining procedures for automatic data handling has become one of the real challenges in remote sensing and is an essential part of the chain that should lead from sensing to understanding the monitored scene. In spite of significant progress in recent years, the definition of appropriate data processing procedures, in the different application fields, is still an area of active research. This special session in ISDA 2009 aims at presenting new research works on intelligent signal and image processing of remotely sensed data and on theirs applications.

Topic of interest

Topics of interest include, but are not limited to:

• Intelligent signal and image processing in remote sensing
• Knowledge based systems in remote sensing
• Intelligent sensors and data fusion
• Statistical signal and image processing
• Multispectral and hyperspectral image analysis
• Multitemporal data processing and change detection
• Image analysis and feature extraction
• Scene based sensor calibration (data driven radiometric and atmospheric calibration)
• Supervised and unsupervised classification
• Kernel methods
• Real time processing
• Object detection and recognition
• Data compression and complexity reduction

Paper submission

Prospective authors are invited to submit a full paper of 4-6 pages (PDF). Authors must adhere to the IEEE 8.5 two-column format (see the Conference web site for details). Papers should contain up to 5 keywords. Papers will be evaluated for originality, significance, clarity and soundness, and will be reviewed by at least three independent reviewers.
Accepted papers will be published in the proceedings of ISDA'09 and will be included in the IEEE Xplore digital library (IEL, http://ieeexplore.ieee.org/)
Authors of selected papers will be invited to submit an extended version of their contribution for possible inclusion in special issues of the international journals listed in the Conference web site.
Submissions must be done through the ISDA2009 EasyChair System

Program Committee

• Nicola Acito, Naval Academy, Italy.
• Jörgen Ahlberg, FOI - Swedish Defence Research Agency, Sweden.
• Fabrizio Berizzi, University of Pisa, Italy.
• Xavier Briottet, ONERA, France.
• Lorenzo Bruzzone, University of Trento, Italy.
• Jocelyn Chanussot, Grenoble Institute of Technology, France.
• Paolo Cipollini, NOCS - National Oceanographic Center, UK.
• Jenny Qian Du, Mississippi State University, USA.
• Andrea Garzelli, University of Siena, Italy.
• Raffaele Grasso, NURC - Nato Undersea Research Center, Italy.
• John Kerekes, RIT - Rochester Institute of Technology, USA.
• Stefania Matteoli, University of Pisa, Italy.
• Antonio Plaza, University of Extremadura, Spain.
• Giovanni Poggi, University of Naples (Federico II), Italy.
• Sebastiano Serpico, University of Genoa, Italy.
• Miguel Angel Veganzones Bodon, Universidad País Vasco, Spain.

Important dates

Contacts

Marco Diani, University of Pisa, (m.diani@iet.unipi.it)
Giovanni Corsini, University of Pisa, (g.corsini@iet.unipi.it)