Machine Vision and Advanced Image Processing in Remote Sensing

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

My Reading Lists:

Create a new list

Check-In

×Close
Add an optional check-in date. Check-in dates are used to track yearly reading goals.
Today



Download Options

Buy this book

Last edited by ImportBot
August 3, 2020 | History

Machine Vision and Advanced Image Processing in Remote Sensing

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

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

Buy this book

Previews available in: English

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

Edition Identifiers

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

Work Identifiers

Work ID
OL19884984W

Community Reviews (0)

No community reviews have been submitted for this work.

Lists

This work does not appear on any lists.

History

Download catalog record: RDF / JSON
August 3, 2020 Edited by ImportBot import existing book
July 5, 2019 Created by MARC Bot import new book