期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2007
卷号：XXXVI–4/W45
出版社：Copernicus Publications
摘要：Visualization in scientific computing has been a thrust area in the field of computer science since the last century. This has triggeredthe development of technology in terms of memory, processing speed and storage capacity. LiDAR technology is an emerging fieldof research where the topography of the terrain is captured in the form of X, Y and Z coordinates. In the light of the developments inscientific visualization and LiDAR technology, systems could be designed which allow three dimensional immersive visualization ofterrain. LiDAR data prove ideal for 3D visualization, particularly in an immersive environment, owing to their 3D nature and abilityto integrate with other remotely sensed data at high resolution. Traditional methods of visualization of LiDAR data involve featureextraction in terms of roads, buildings and trees followed by 2.5D (perspective) visualization. In this paper, we attempt to developa pipeline which enables processing of raw LiDAR data to enable visualization with texture information. The texture informationis obtained from a digital colour aerial photograph, which is first co-registered with the LiDAR points. Facets of the terrain are thengenerated by performing a Delaunay triangulation on the LiDAR points. This is coded in the form of a module named FACET. Detectionof planes and other surfaces in the terrain is performed by the module named DETECTOBJECT. In this process, smoothing of lidarpoints is also done to eliminate visually non-significant details. Finally, the entire scene is converted to a SGI OpenInventor compatibleview file by modules named TEXTUREMAP and TEXTURE2IV. These modules are programmed using Java Software DevelopmentKit. In our work till date, we have been able to generate views of points plotted in 3D space, facets with tones picked up from thecenters of the facets and texture wrapped views of the terrain, using the outputs from FACET and TEXTURE2IV. The system facilitatesstereo-viewing of terrain from any viewpoint dynamically. In this paper, we focus more on our attempt to make the views more realisticby the use of smoothing and objects. Various views of the results are presented and discussed in the paper.
