Machine Vision and Advanced Image Processing in Remote Sensing: Proceedings of Concerted Action Maviric (Machine Vision in Remotely Sensed Image Comprehension)

Kanellopoulos, I.

ISBN 10: 3540655719 / ISBN 13: 9783540655718

Published by Springer, 1999

About this Item

This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,700grams, ISBN:9783540655718. Seller Inventory # 8241198

Bibliographic Details

Title: Machine Vision and Advanced Image Processing...

Publisher: Springer

Publication Date: 1999

Binding: Hardcover

Condition: Good

About this title

Synopsis:

Since 1994, the European Commission has undertaken various actions to expand the use of Earth observation (EO) from space in the Union and to stimulate value-added services based on the use of Earth observation satellite data.' By supporting research and technological development activities in this area, DG XII responded to the need to increase the cost-effectiveness of space­ derived environmental information. At the same time, it has contributed to a better exploitation of this unique technology, which is a key source of data for environmental monitoring from local to global scale. MAVIRIC is part of the investment made in the context of the Environ­ ment and Climate Programme (1994-1998) to strengthen applied techniques, based on a better understanding of the link between the remote sensing signal and the underlying bio- geo-physical processes. Translation of this scientific know-how into practical algorithms or methods is a priority in order to con­ vert more quickly, effectively and accurately space signals into geographical information. Now the availability of high spatial resolution satellite data is rapidly evolving and the fusion of data from different sensors including radar sensors is progressing well, the question arises whether existing machine vision approaches could be advantageously used by the remote sensing community. Automatic feature/object extraction from remotely sensed images looks very attractive in terms of processing time, standardisation and implementation of operational processing chains, but it remains highly complex when applied to natural scenes.

Synopsis:

This volume describes some of the latest developments in the techniques for the analysis of remotely sensed satellite imagery. Focussing in particular on structural information and image understanding, the book will provide a useful guide to emerging techniques which will be of value in the exploitation of the new generation of very high resolution imagery. A number of contributions draw on recent work in the computer vision field. The book explores the increasing links between computer vision and remote sensing, and includes chapters from authors working in the two fields. It brings together the work of a number of European experts who participated in the events of a Concerted Action supported by the Environment and Climate Programme of the European Commission.