Towards the update of geodata by automatic object extraction

Bernd-M. Straub; Christian Wiedemann

doi:10.1117/12.413904

19 January 2001 Towards the update of geodata by automatic object extraction

Bernd-M. Straub, Christian Wiedemann

Proceedings Volume 4170, Image and Signal Processing for Remote Sensing VI; (2001) https://doi.org/10.1117/12.413904
Event: Europto Remote Sensing, 2000, Barcelona, Spain

Abstract

The integration of automatic object extraction from imagery and GIS for the update of geodata becomes more and more important. The most obvious reasons for this are (1) in many countries large geodata bases were built up in the last decade which have to be kept up to date and (2) the progress in automatic object extraction will lead to practical application. In this paper we describe a method for the automatic extraction of forest, settlement, roads, and trees. The individual approaches are combined such that the underlying new model contains global and local context knowledge and is in compliance with the GIS data catalogue. The results of the automatic object extraction process are compared with the existing GIS objects. For this task we apply a method, which allows to model the positional and abstraction uncertainty of the object’s borders stochastically and leads to a probability-based decision of topological relations between area objects. By means of examples we demonstrate that the proposed method is useful for database update and quality description.

Citation Download Citation

Bernd-M. Straub and Christian Wiedemann "Towards the update of geodata by automatic object extraction", Proc. SPIE 4170, Image and Signal Processing for Remote Sensing VI, (19 January 2001); https://doi.org/10.1117/12.413904

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available