Full text: XVIIth ISPRS Congress (Part B3)

  
KNOWLEDGE-BASED INTERPRETATION OF SCANNED LARGE-SCALE MAPS 
USING MULTI-LEVEL MODELLING 
H. Mayer, C. Heipke, G. Maderlechner 
D621: Competence Center GIS 
Siemens Nixdorf Informationssysteme AG, Otto-Hahn-Ring 6, D-8000 Munich 83, Germany 
Tel: + 49-89-636 2166; Fax: + 49-89-636 45202; E-mail: hm@ssym1.zfe.siemens.de 
Chair for Photogrammetry and Remote Sensing 
Technical University Munich, Arcisstr. 21, D-8000 Munich 2, Germany 
Tel: + 49-89-2105 2671; Fax: + 49-89-2809573; E-mail: heipke@photo.verm.tu-muenchen.de 
Corporate Research and Development 
Siemens AG, Otto-Hahn-Ring 6, D-8000 Munich 83, Germany 
Tel: +49-89-636 3389; Fax: + 49-89-636 2393; E-mail: gm@bvax4.zfe.siemens.de 
Commission III 
ABSTRACT: 
Present results of map interpretation systems still re- 
quire significant manual interaction effort. This is mainly 
caused by a lack of high level knowledge in the systems. 
In this paper we introduce a multi-level model for a 
large-scale map as the key to improved and robust auto- 
matic map interpretation. The levels of the model are 
called semantic objects, graphics and text, image graph 
and image. Objects, operations to be performed on the 
objects and relations between the objects are presented 
for each level. 
Mixed bottom-up and top-down reasoning is performed 
by instantiating the concepts of a semantic network built 
up from the semantic objects, the graphics and text and 
the image graph levels. The interpretation uses relations 
on attributed arcs and nodes as well as template mat- 
ching on the image. 
First results for the interpretation of a Bavarian cada- 
stral map of scale 1 : 1000 are presented. 
Key Words: automatic map interpretation, model based 
interpretation, semantic network, top-down and bot- 
tom-up processing 
578 
1. INTRODUCTION 
For all kinds of spatial planning purposes large amounts 
of topographic and cadastral data are required. This 
information is more and more needed in digital form to 
build up geographical information systems (GIS). Com- 
pared to photogrammetry, surveying etc existing paper 
maps are the most inexpensive source of input data for 
the GIS. A GIS whose level of detail corresponds to 
large-scale maps (scales from 1 : 100 to 1 : 5000) is 
composed of attributed (ie meaningful) high quality 
vector data. Maps of this scale are usually plotted as 
black and white (ie binary) line drawing. 
If a map of this kind is scanned, the result is a raster 
image. This is not the type of data needed for the vector 
GIS. Today the conversion of paper maps to GIS data is 
accomplished through manual digitisation of the maps. 
Another possibility is the interactive digitisation of the 
scanned image on the screen. This is known as "overlay 
technique" and has the advantage that the map and the 
digitised data are directly comparable. The drawback of 
both approaches is that they are very labour intensive 
and that the results depend on the skills of the operator. 
Because there are a lot of maps to be digitised, the 
automatic conversion of the scanned maps to attributed 
vector data is a great challenge. The basic tasks are the 
extraction and the interpretation of the lines. 
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