| Analysis of Multi-Temporal Remote Sensing Images, Proceedings of the Second International Workshop on the Multitemp 2003 Contributor(s): Smits, Paul C. (Editor), Bruzzone, Lorenzo (Editor) |
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ISBN: 9812389156 ISBN-13: 9789812389152 Publisher: World Scientific Publishing Company OUR PRICE: $211.85 Product Type: Hardcover Published: August 2004 Annotation: 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. |
| Additional Information |
| BISAC Categories: - Science | Environmental Science (see Also Chemistry - Environmental) - Technology & Engineering | Remote Sensing & Geographic Information Systems - Computers | Optical Data Processing |
| Dewey: 621.367 |
| Series: Remote Sensing |
| Physical Information: 1.02" H x 6.08" W x 9.22" (1.55 lbs) 404 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |