Full text: XVIIth ISPRS Congress (Part B4)

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- input data, 
- processing techniques for integration of 
several data types into GIS, 
- hybrid GIS database, 
- processing and enhancement techniques 
for building new GIS levels as well as 
output data, 
output data as results of application 
questions. 
These subsystems contain many other second order 
subsystems which are connected sometimes or not. A 
much more detailed separation of the subsystems will 
  
not be described now, but figure 6 illustrates how the 
system architecture can be seen in principle. 
It is shown how the different input data on the left 
hand side will be processed, with geometrical or 
radiometrical techniques e.g., before the data are inte- 
grated in several GIS levels. On the right hand side 
composing and enhancement methods are figured 
out, for creating new derived GIS levels and also for 
the data output as results of user requirements. The 
output data itself are not separated in conventional 
and digital results or other more detailed possibilities, 
these details are included in the shown resulting 
groups. 
  
  
  
  
  
  
  
  
  
  
  
  
  
digital or 
input data hybrid GIS conventional 
output 
non graphic interactive : large scaled 
data input object-. signature-, [ "| maps 
thematic databases 
1 
geodetic input and topographic 
survey adjustmen vector database [ | maps 
   
  
  
  
  
Cartographic A 
generalization 
  
  
     
   
   
digitized or 
scanned map 
  
   
ransform. 
data conv., 
hybrid edit. 
  
continuous raster 
(with color index) 
  
small scaled 
topographic 
maps 
of vectordata 
  
output \ 
3 transfor— 
  
  
  
   
photogramm. 
measurement 
  
  
grid data (DEM e.g.) 
  
mation A 
image maps 
  
4 
  
  
  
  
scanned 
aerial 
hotographs 
  
  
  
  
airborn 
scanner data 
pre- 
processing 
dig. image 
   
    
grayvalue raster data 
(single images. 
hill shading e.g.) 
  
  
derived raster data 
   
geometrical 
image proc. 
radiometrical 
image enhan 
  
       
  
cr 
thematic 
maps 
  
  
  
informations. 
  
  
  
  
processin (mosaic, classification, 
elc.) 
  
  
  
  
  
  
i | statistics 
y 
  
  
   
6 
  
  
  
  
digital 3 
satellite cartographic 
images generalized 
database 
  
hybrid comp. 
and generalizing 
hybrid editing 
  
  
  
  
  
  
  
  
  
  
  
  
statistical input and 
non graphic actualizin 
data 
  
  
hybrid compared data 
  
  
  
  
  
8 
  
2,3,5...8 
  
Fig.6: Hybrid GIS system architecture 
In this GIS architecture the hybrid database itself 
includes 8 subsystem levels, where the non graphic 
database is not more detailed (just level 1). The graphic 
database is separated twice: original data (level 2...5) 
and derived data (level 6...8), both containing of 
vector-, raster- and grid data levels. Most of the ori- 
ginal data belong to the topographic database and most 
of the derived data build the application database. 
These both main subsystems of a GIS - topographic 
database and application database - often are realized 
in the existing applications yet. Due to the actual hard- 
and software limitations standard Geographic 
Information Systems are separated into some parallel 
existing GIS: a vector GIS and a raster archive repre- 
senting the topographic databases, a geological and a 
Soil information system as two application databases 
for example. 
693 
In order to the increasing hardware capacities 
(jukeboxes etc.) and the actual software development 
the realization of large integrated hybrid GIS seems to 
be possible soon. But on the other hand database 
sharing and transaction systems could be of special 
interest for GIS because of multidisciplinary users. 
This leads to a decentralized concept alternative. In 
distributed database architectures it is possible to 
handle the data in different local organisations. 
Nevertheless the user's interface may look like in 
centralized systems (logical centralization). 
Decentralized systems give a better system structure 
and increase the performance due to parallel possibili- 
ties. But it must be pointed out that a complete distri- 
buted functionality is not really available in commer- 
cial decentralized systems yet. 
 
	        
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