Analysis of Multi-Temporal Remote Sensing Images:

Analysis of Multi-Temporal Remote Sensing Images: "Proceedings of the Second International Workshop on the Multitemp 2003 Joint Research Centre, Ispra, Italy 16 - 18 July 2003"

by Paul C Smits
     
 

ISBN-10: 9812389156

ISBN-13: 9789812389152

Pub. Date: 08/01/2004

Publisher: World Scientific Publishing Company, Incorporated

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

Overview

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

ISBN-13:
9789812389152
Publisher:
World Scientific Publishing Company, Incorporated
Publication date:
08/01/2004
Series:
Series in Remote Sensing
Pages:
404
Product dimensions:
6.30(w) x 9.00(h) x 1.10(d)

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