Suddhasheel GHOSH
PhD Student
INDIAN INSTITUTE OF TECHNOLOGY KANPUR,
Email: [email protected]
Dr. Bharat Lohani
Assistant Professor
INDIAN INSTITUTE OF TECHNOLOGY KANPUR
Email: [email protected]
The development of technology in terms of hardware, software and memory in the recent years has enabled the visualization of large amounts of data. Such advances have been
leveraged by the geo-community in developing software for visualizing remote sensing data.
In this context, visualization of altimetric LiDAR data technology has emerged as one of the
predominant areas of research and has found application in a wide variety of ๏ฌelds. LiDAR
data prove ideal for 3D visualization, particularly in an immersive environment, owing to
their 3D nature and ability to integrate with other remotely sensed data at high resolution.
Traditional methods of visualization of LiDAR data involve feature extraction in terms of
roads, buildings and trees followed by 2.5D visualization. In this paper, we attempt to de-
velop a pipeline which enables processing of raw LiDAR data to enable visualization of the
same with texture information. Facets in the Digital Surface Model (DSM)are generated
using an algorithm FACET. Two utilities namely FACET2IV and TEXTUREMAP are de-
veloped using the GNU Compiler Collection (GCC). FACET2IV translates the output of
FACET to SGI-OpenInventor (developed by Silicon Graphics Inc). The OpenInventor gen-
erates stereo-views for LiDAR data depending on the view angle and position. This enables
interactive display of three dimensional information. TEXTUREMAP incorporates texture
information (e.g. re๏ฌectance data) into the Inventor ๏ฌle. The restitution of the inventor is
done using OpenInventor. Some initial results are presented and discussed in the paper.
