Keyes, L. and Winstanley, Adam C. (2001) Data Fusion for Topographic Object Classification. Proceedings IEEE/ISPRS Joint Workshop on Remote Sensing and Data Fusion Over Urban Areas. pp. 275-279.

Download (78kB)

Abstract

This paper presents research conducted into the automatic recognition of features and objects on topographic maps (for example, buildings, roads, land parcels etc.) using a selection of shape description methods developed mostly in the field of computer vision. In particular the work here focuses on the proposal and evaluation of fusion techniques (at the decision level of representation) for the classification of topographic data. A set of Ordnance Survey large-scale digital data (1:1250 and 1:2500) was used to evaluate the classification performance of the shape recognition methods used. Each technique proved partially successful in distinguishing classes of objects, however, no one technique provided a general solution to the problem. Further outlined experiments combine these techniques, using a data fusion methodology, on the real-world problem of checking and assigning feature codes in large-scale Ordnance Survey digital data.

Item Type:	Article
Academic Unit:	Faculty of Science and Engineering > Computer Science
Item ID:	67
Depositing User:	Dr. Adam Winstanley
Date Deposited:	17 Dec 2002
Journal or Publication Title:	Proceedings IEEE/ISPRS Joint Workshop on Remote Sensing and Data Fusion Over Urban Areas
Publisher:	IEEE
Refereed:	Yes
URI:
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

Repository Staff Only(login required)

Item control page

Downloads

Origin of downloads