Full text: Technical Commission IV (B4)

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 
images within the county. The State can then create a master 
mosaic dataset by adding the mosaic datasets from each county to 
have a statewide mosaic dataset without having to duplicate the 
data. The State will then update the master mosaic dataset by 
synchronizing whatever changes that the counties have made to 
their child mosaic datasets (Figure 12). 
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The mosaic dataset can reduce the use of disk space, shorten the 
process time, and produce mosaics on demand based on a user’s AF 
request. It is an advanced model in processing images, 
mosaicking images, cataloging images, and serving images. Ve 
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3. CONCLUSION the 
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ArcGIS's mosaic dataset and raster product data models have ling 
made the use of remote sensing images in GIS applications easier reli 
to GIS users. By using ArcGIS Server, a software product in the 
ArcGIS software family for serving GIS data, remote sensing 
images can be served easily and quickly to internet users. With 
the new data models, ArcGIS users can directly work with 
individual image scenes from many sensor platforms and Ma 
organizations can manage and serve images within their = 
organizations and through the internet. Furthermore, the new 
models can effectively reduce the cycle of building GIS ihe 
databases, producing maps, and generating analysis results from ma 
remote sensing images. The integration of image processing and pat 
GIS has proved to be a successful solution for both GIS disaster 
applications and managing large collections of remote sensing Ma 
images. R2 
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4. ACKNOWLEGEMENTS im] 
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The authors would like to thank Melanie Harlow from Esri for difi 
reviewing and editing the paper. vec 
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