Full text: Proceedings; XXI International Congress for Photogrammetry and Remote Sensing (Part B4-1)

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B4. Beijing 2008 
nodes might reach the point of diminishing returns. 
This experiment was not done in a dedicated network, therefore 
some network traffic and bottlenecks due to I/O has been 
examined and reported in the result summary. 
2.2 LOA Setup 
The work required to install LOA is minimal and IT expertise is 
not required. The user needs to select the Server machine that 
will host GeoCue Server application, the workstations that will 
host GeoCue Client application and ortho nodes that will run 
the jobs. The following steps explain how to setup LOA. 
• Install GeoCue Server software on the server machine. 
• Install MSDE if Server machine is not running with 
full SQL Server. 
• Run database manager and install GeoCue database 
• Select Common Folder and share it 
• Decide data storage locations (GeoCue WareHouse) 
and share them 
• Import Licenses 
• Install LPS and GeoCue Coordinate systems 
• Install GeoCue Client software on the production 
workstations and ortho nodes and configure it. 
• Install LOA on Client workstations and ortho nodes 
• Install LPS support modules 
LPS 
SOCET SET 
MATCH-AT 
I SAT 
1 
Import a 
photogrammetric 
project 
I 
I 
Import 
elevation 
t 
IMG 
LTF 
Ortho CuePac 
Link DTM 
to Ortho 
Layer 
1 
Figure 3. Ortho CuePac workflow chart 
3. ORTHORECTIFICATION WORKFLOW IN LOA 4. PRACTICAL RESULTS 
LOA workflow starts with setting up a project. Then a 
photogrammetric project (e.g. LPS block file) is imported into 
GeoCue. The photogrammetric project should be a triangulated 
block. The next step is to generate rectification entity. In this 
step ortho layer will be generated and rectification parameters 
such as output pixel size, resampling method, projection 
information will be defined. An elevation file then be imported 
and linked to ortho layer. Multiple elevation files can be 
imported. The linking step will establish the elevation files to 
be used for rectifying each image. Validating elevations will 
update the footprint of the ortho entities by intersecting ortho 
entities with the linked elevation files. This step will invoke the 
dispatch dialog. Validate elevations step can be on several 
nodes. 
Once the validate elevation step has been completed, the next 
step is orthorectification. On dispatch dialog, the user can select 
the machines to run orthorectifaction jobs. The status of the jobs 
can be tracked on dispatch monitor. The dispatch monitor 
displays jobs that are pending, in progress and completed. Once 
the rectification is finished on any of the nodes the raster 
images will be displayed on the map view. A typical distributed 
run is shown in Figure 6. 
For this experiment, two triangulated blocks with 240 and 858 
frame images have been selected to show the timesavings as a 
result of using the distributed processing in LOA. For further 
referencing, these blocks will be referred to as Block 240 and 
Block 858 respectively. 
Source Images 
Both blocks contain TIFF format 8 bit frame images and they 
are 962 MB each. File caching was enabled during these tests. 
The source images were stored in the file server and then copied 
to each node’s caching folder to perform orthorectification. 
Once orthorectification is complete, the ortho images were then 
transferred to the GeoCue WareHouse on the file server. 
DTM used in Orthorectification 
The DTM was physically loaded onto each workstation for each 
orthorectification process. The DTM is copied from the server 
to the local hard drive of the node each time an image is 
orthorectified. The 10m cell size DTM is 27 MB in size. This 
means that in addition to the source images, 27 MB of DTM is 
also copied from the server to each node’s caching folder. 
Table 1 summarizes the characteristic of the project. 
Block 240 
Block 858 
Capture GSD (m) 
0.11 
0.11 
Output GSD (m) 
0.15 
0.15 
Forward Overlap (%) 
60 
60 
Source Data Size (GB) 
226 
806 
Project Area (knYl 2 ) 
91 
735 
Table 1: DataSet Summary
	        
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