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 
color can be designed individually by changing different style 
attributes. Labels can be defined in any language and special 
characters according to UTF8 are supported. A sample scene of 
swiss mountain peaks labeled with POIs is shown in figure Sa. 
3.2.2 3d Models 
Cities, Buildings and other geometries can be loaded into the 
globe as a Geometry Object (ogGeometry). The definition of a 
geometry object has to be stored in a JSON File (JavaScript 
Object Notation) according to a defined file description. These 
JSON Files can then be loaded asynchronously into the globe. 
OpenWebGlobe currently supports colored and textured 3d 
models. Converter scripts from wavefront obj or collada format 
are available. Figure 5b shows some textured 3d models within 
the globe. 
3.2.3  Billboards 
Since the release of HTMLS a so called canvas element is 
available. It is possible to draw or write into such a canvas 
element by simple JavaScript functions. These painted canvas 
elements can then be loaded into the globe and displayed as 
billboards by using the ogBillboard object. This allows to 
display complex, dyamic graphics like graphs or charts within 
the globe. 
3.2.4 Point Clouds 
As an alternative representation for building or city models, 
point clouds (Nebiker et al., 2010) can be visualized within the 
OpenWebGlobe. The point cloud data has to be stored in a 
proprietary JSON format or simply as ASCII xyz-file. Large 
pointclouds have to be thinned out to decrease the amount of 
data. For this purpose a function is available in the 
OpenWebGlobe processing tools. An example of point cloud 
visualization is shown in Figure 5c. Point cloud data is 
statically loaded from files into the scene but it is foreseen to 
implement a view dependent point cloud streaming mechanism 
(Laine & Karras, 2010). 
  
Figure 5 a (top left), b (top right), c (bottom). Custom 
geospatial contents visualized in OpenWebGlobe. 
A minimal OpenWebGlobe application is shown in figure 6. 
The function “ogCreateContextFromCanvas” sets up the 
WebGL context. The second function “ogCreateGlobe” directly 
creates a WGS84 scene containing a camera and a world object. 
This is a convenience function: there are also functions 
available to create scene objects, camera objects and world 
objects manually. With “ogAddImageLayer” an image layer 
can be added and with “ogAddElevationLayer”, an elevation 
layer is added to the scene. 
  
  
<script type="text/javascript"src="openwebglobe.js"> 
</script> 
<script type="text/javascript"> 
function main() 
{ 
var ctx = ogCreateContextFromCanvas ("canvas", true); 
var globe = ogCreateGlobe (ctx); 
var imgOpenStreetMap = 
{ 
url : ["http://a.tile.openstreetmap.org", 
"http://b.tile.openstreetmap.org", 
"http://c.tile.openstreetmap.org"], 
service : "osm" 
bi 
ogAddImageLayer (globe, imgOpenStreetMap) ; 
} 
</script> 
«body onload-"main()"» 
<div style="text-align: center"> 
<canvas id="canvas"></canvas></div></body> 
  
Listing 1. A minimal OpenWebGlobe application in HTMLS / 
JavaScript 
  
Figure 6. The resulting interactive virtual globe with osm map 
tiles coded in listing 1 
3.3 Data Pre-processing for OpenWebGlobe 
The OpenWebGlobe data processing algorithms (Christen & 
Nebiker, 2011a) have been developed with focusing on 
scalability to very large data volumes — for all supported data 
types, including imagery, map and terrain data — and have been 
optimized for parallelism. We adapted the algorithms to support 
as many cores as possible and came up with a set of 
OpenWebGlobe processing commands. All commands run on 
normal computers (regular laptops and work stations) and on 
HPC systems, including cloud computing services. We use the 
Message Passing Interface (MPI) to communicate and distribute 
the workload on HPC cluster and OpenMP for multiprocessing. 
Our development and test platform runs on the Microsoft 
Windows HPC Server 2008 R2. However, our code is cross 
platform and runs on Linux, too. Commercial clouds, for 
example Amazon Elastic Compute Cloud (Amazon EC2) are 
also supported by the OpenWebGlobe data processing code. 
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