Machine Vision and Advanced Image Processing in Remote Sensing

Proceedings of Concerted Action MAVIRIC (Machine Vision in Remotely Sensed Image Comprehension)

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February 26, 2022 | History

Machine Vision and Advanced Image Processing in Remote Sensing

Proceedings of Concerted Action MAVIRIC (Machine Vision in Remotely Sensed Image Comprehension)

  • 0 Ratings
  • 0 Want to read
  • 0 Currently reading
  • 0 Have read

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.

Publish Date
Language
English
Pages
335

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Previews available in: English

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Cover of: Machine Vision and Advanced Image Processing in Remote Sensing
Cover of: Machine Vision and Advanced Image Processing in Remote Sensing

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Book Details


Table of Contents

Foreward
Introduction
Part I: Image Processing and computer vision methods for remote sensing
Part II: High Resolution data
Part III: Visualisation, 3D and stereo
Part IV: Image interpretation and classification
Part V: Segmentation and feature extraction. The complete table of contents can be found on the Internet: http://www.springer.de.

Edition Notes

Online full text is restricted to subscribers.

Also available in print.

Mode of access: World Wide Web.

Published in
Berlin, Heidelberg

Classifications

Dewey Decimal Class
338.9
Library of Congress
HT388, HD28-9999, GA1-1776TA1671-1707T, G70.212-.217

The Physical Object

Format
[electronic resource] :
Pagination
1 online resource (x, 335p. 165 illus.)
Number of pages
335

ID Numbers

Open Library
OL27072054M
Internet Archive
machinevisionadv00wilk
ISBN 10
3642642608, 3642601057
ISBN 13
9783642642609, 9783642601057
OCLC/WorldCat
851783927

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History

Download catalog record: RDF / JSON / OPDS | Wikipedia citation
February 26, 2022 Edited by ImportBot import existing book
October 10, 2020 Edited by ImportBot import existing book
August 3, 2020 Edited by ImportBot import existing book
July 5, 2019 Created by MARC Bot Imported from Internet Archive item record