Full text: Technical Commission IV (B4)

KXXIX-B4, 2012 
nly 3 minutes or less. 
ource image, and the 
| from the TCT. 
‚users can also very 
above PL/SQL block 
ige into 8 bit integer 
ze stretching (simply 
CT image to generate 
nd analysis purposes. 
  
ightness (upper right), 
t). TM Image Courtesy 
ey 
amples, the PL/SQL 
ns are powerful and 
erous processing and 
to the optimized 
is and the embedded 
'erage the power of 
istructure to quickly 
and rasters stored in 
1 a global basis (Xie, 
ind other geospatial 
require specialized 
analysis solutions. 
lC or near-real time 
f such data dictate 
such systems and 
akes an enterprise 
acle database server 
lenges and achieve 
erformance. The in- 
| this paper enhances 
igement system by 
nside the database 
data is stored. This 
? capabilities offers 
and commonly used 
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B4, 2012 
XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia 
database management operations. This also removes the need 
of separate solutions for some GIS and business applications. 
For traditional remote sensing and GIS applications, specialized 
image processing packages and GIS solutions are still required. 
However, such third party solutions can also benefit greatly in 
performance from this analytics engine by pushing some basic 
data processing and filtering operations into the database so that 
less data is retrieved and transported into the client for further 
processing and analysis. 
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Tomlin, D., 1990. Geographic Information Systems and 
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Xie, Q., 2008b. Oracle Spatial, Raster Data. Encyclopedia of 
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11gr2 georaster twp.pdf (16 March 2012) 
 
	        
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