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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