Analysis Of Multi-temporal Remote Sensing Images, Proceedings Of The Second International Workshop On The Multitemp 2003

The development of effective methodologies for the analysis of multi-temporal data is one of the most important and challenging issues that the remote sensing community will face in the coming 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's 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. This volume of proceedings contains 43 contributions from researchers representing academia, industry and governmental organizations. It is organized into three thematic sections: Image Analysis and Algorithms; Analysis of Synthetic Aperture Radar Data; Monitoring and Management of Resources.

Product details

• Assisted by: Lorenzo Bruzzone (Editor), Bruzzone Lorenzo (Editor), Paul C Smits (Editor), Paul C Smits (Editor), Paul C. Smits (Editor)
• Publisher: Ingram Publishers Services
• Languages: English
• Product format: Hardback
• Released: 10.08.2004
• EAN: 9789812389152
• ISBN: 978-981-238-915-2
• Series: Series in Remote Sensing; Series In Remote Sensing; Remote Sensing
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > IT; COMPUTERS / Optical Data Processing, Image processing, Geographical information systems (GIS) & remote sensing, COMPUTERS / Data Science / Data Visualization, COMPUTERS / Database Administration & Management, Geographical information systems, geodata and remote sensing, Data capture and analysis, Data Capture & Analysis