|
First International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp-2001) Trento, Italy
IntroductionThe analysis of multi-temporal remote-sensing images is one of the most important ways of using remote-sensing data. In particular, people working in several application domains related to environmental monitoring have recently devoted increasing attention to both change detection and analysis.However, it is felt that the advances in change-detection methodologies have been under-illuminated with respect to other remote-sensing image analysis topics (e.g. classification). At the same time, the link between the end-users' needs and the scientific community seems too weak. For this reason, we think that a high quality workshop, focusing on the methodological aspects of multi-temporal remote-sensing image analysis, is much needed. The workshop will address the scientific development in connection with real applications and end-user requirements. ObjectivesThe workshop's main goal is to assess the state of the art of both theory and applications in the analysis of multi-temporal remote-sensing images and geospatial data. This workshop should greatly contribute to define common research priorities according to end-users' needs, and its proceedings should become a unique, first-class reference for multi-temporal geospatial data analysis.Workshop FormatThe workshop will be conducted in two days with four sequential sessions (two sessions per day). Adequate time between presentations will allow discussion of the papers being presented. At the end of each session, a round table discussion should address the main topics considered in the presentations and should provide recommendations on the future research directions.Papers will be solicited in the following topic areas:
An invited speaker will introduce each session. To-date, two speakers have agreed to deliver a lecture: Prof. D. Landgrebe (Purdue University, USA) and Dr. R. Lunetta (U.S. Environmental Protection Agency, USA). ProcedureContributions have been received from the research community developing new techniques for the analysis of multi-temporal data, as well as from the application community using the results obtained from the automatic analysis. This workshop will greatly contribute to define common research priorities according to end-users' needs, and its proceedings should become a unique, first-class reference for multi-temporal geospatial data analysis.During the workshop, an abstract book will be made available. Accepted papers will be published in the workshop proceedings. In addition, extended versions of selected papers will be considered for publication in a special issue of an international journal. Schedule:June 6, 2001: Notification of AcceptanceJuly 31, 2001: Camera-Ready Manuscripts July 31, 2001: Early registration (mandatory for presenting authors; one per presentation)
|