Full text: Proceedings, XXth congress (Part 2)

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International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B2. Istanbul 2004 
1. INTRODUCTION 
1.1 Rationale of Paper 
The start point for this invited paper can be summarised by 
the following extract from the ISPRS Annual Report 2003 
(ISPRS 2003) covering the work of Intercommission WG 
II/TV: Automated Geo-Spatial Data Production And Updating 
From Imagery: 
“Concerning updating of GIS, besides the data capture itself 
the management of the updating information in the database 
is a relevant topic itself. Automatic update including 
topological changes still is nearly unsolved. In some cases 
from the operational point of view the acquisition of the 
complete data set still seems to be easier than to incorporate 
acquired changes into an existing data set.............. Digital 
photogrammetric workstations more and more approach a 
GIS leading to integrated solutions which cover the complete 
process from data capture to data management, analysis, 
visualisation and dissemination. At present they are 
incorporating database and visualization functionalities, 
partly in 3D. In general the cooperation and exchange 
between GIS and Photogrammetry still is rather low, 
especially from the commercial point of view. There still is a 
lack in standardized exchange between the respective 
systems but the companies seem to have recognized the lack 
in integrated solutions for the end-user.” 
The importance of the shift in requirement, from the 
acquisition of complete data sets to the incorporation of 
acquired changes into an existing data set was highlighted for 
the author by a remark at the OEEPE/ISPRS Workshop 
"From 2D to 3D - Establishment and Maintenance of 
National Core Geospatial Databases" , Hannover, Germany, 
October 2001. In describing the history of the Topographic 
Database of Catalonia, 1:5,000 (Pla et al, 2001) Josep Lluís 
Colomer said that in 1996 they had done something ‘they 
would never be allowed to do again — they had abandoned 
the previous data set and started again'. This represents the 
new reality for most providers of topographic data. The 
investment in the current data holding, and its increasing 
richness in attribution and structure as well as topographic 
detail, means that there is in practice no alternative but to 
update (or revise) it, to enrich it and on very rare occasions to 
re-engineer it. The only exception to this trend is the case of 
*mission-specific' datasets, which may be of sufficient 
importance to bear the cost of one-off creation from source, 
but even in this case the trend is towards intensification of 
sustained and maintained ‘framework’ data. 
1.2 Structure of Paper 
Section 2 surveys the reasons behind the trend towards the 
increasing integration of photogrammetric data acquisition 
and GIS databases, describing both the drivers and the 
resulting benefits. The shift from primary data acquisition to 
the maintenance and/or enhancement of increasingly rich 
datasets is discussed, and the assertion is made that this 
should increasingly be approached as a conflation issuc. 
Section 3 enumerates and characterises different levels of 
system architecture, including  file-based information 
exchange, loose- and close-coupling (with differing balance 
of functionality between client and server-side) and multi-tier 
architectures. The role of the database in supporting 
759 
transaction management is discussed, as is the importance of 
interoperability between all the maintenance, quality 
assurance, analysis and delivery processes either within the 
firewall or across a distributed web-based system. 
Section 4 covers a number of key use cases over and above 
the standard update or revision task, including positional 
accuracy improvement, the maintenance of public persistent 
feature identifiers and the maintenance of topological 
integrity. 
Section 5 discusses the level of standards support, or lack 
thereof for the integration of photogrammetry and GIS 
databases. The level of support available for 3D information 
in geospatial databases is reviewed together with the issues 
of migration from 2D to 3D. 
The paper concludes with a summary and some reflections 
on the future role of the practitioners — the 
photogrammetrists, image analysts and geomaticians of the 
future. 
2. DRIVERS AND REQUIREMENTS 
2.1 The Drive to Database-Centric Operations 
The fundamental requirement for the database management 
system (DBMS) is of course that of being a secure and 
widely accessible repository for the geospatial data gathered 
at such considerable cost. At the same time as the case for the 
integration of photogrammetry with GIS is increasing, the 
GIS vendors are making use of mainstream DBMS 
technology for its security, availability, scalability, archiving, 
transaction management, query support and enterprise-wide 
characteristics. Oracle Spatial has emerged as the DBMS of 
choice for the GIS vendors and hence for integration with 
photogrammetry, albeit often via an intermediate GIS layer 
or component. 
In the GI enterprise, the DBMS needs to support all the 
processes involved in the care and nurture of the data and in 
its delivery to customers. In addition to photogrammetric 
workstations it has to support desktop applications, field 
update operations, quality assurance processes and delivery 
mechanisms. There is some evidence of a trend towards 
separate, but linked, maintenance and delivery databases, 
because of the markedly different functionality and 
performance characteristics of these two regimes (Murray, 
2003). This separation can serve to simplify the required 
level of integration. 
2.2 Joined-Up Data 
Another driver towards the database-centric approach is the 
need for joined-up data. At its simplest level, this is 
expressed as the desire to escape from the arbitrary 
constraints of ‘map sheets’ and the associated breaking up of 
features in an artificial manner. Even if the system still 
operates on a sheet or unit basis, the management of the 
resultant edge-matching task is much more feasible in a 
database environment. Some mapping agencies (for example 
Ordnance Survey Great Britain) have migrated to a 
continuous national coverage, with much greater ability to 
deliver customised selections of features to users and the 
prospect of greater flexibility in internal maintenance. Only 
 
	        
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