ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., I-4, 59-64, 2012
http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/I-4/59/2012/
doi:10.5194/isprsannals-I-4-59-2012
© Author(s) 2012. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
16 Jul 2012
EXTRACTION OF SPATIAL PARAMETERS FROM CLASSIFIED LIDAR DATA AND AERIAL PHOTOGRAPH FOR SOUND MODELING
S. Biswas1 and B. Lohani2 1Rajive Gandhi Institute of Petroleum Technology, Rae Bareilly, 229001, India
2Dept. of Civil Engineering, Indian Institute of Technology Kanpur, Kanpur, 208 016, India
Keywords: LIDAR, Aerial Photograph, Sound Modelling, Noise Maps, Principal Path Identification Abstract. Prediction of outdoor sound levels in 3D space is important for noise management, soundscaping etc. Sound levels at outdoor can be predicted using sound propagation models which need terrain parameters. The existing practices of incorporating terrain parameters into models are often limited due to inadequate data or inability to determine accurate sound transmission paths through a terrain. This leads to poor accuracy in modelling. LIDAR data and Aerial Photograph (or Satellite Images) provide opportunity to incorporate high resolution data into sound models. To realize this, identification of building and other objects and their use for extraction of terrain parameters are fundamental. However, development of a suitable technique, to incorporate terrain parameters from classified LIDAR data and Aerial Photograph, for sound modelling is a challenge. Determination of terrain parameters along various transmission paths of sound from sound source to a receiver becomes very complex in an urban environment due to the presence of varied and complex urban features. This paper presents a technique to identify the principal paths through which sound transmits from source to receiver. Further, the identified principal paths are incorporated inside the sound model for sound prediction. Techniques based on plane cutting and line tracing are developed for determining principal paths and terrain parameters, which use various information, e.g., building corner and edges, triangulated ground, tree points and locations of source and receiver. The techniques developed are validated through a field experiment. Finally efficacy of the proposed technique is demonstrated by developing a noise map for a test site.
Conference paper (PDF, 1301 KB)


Citation: Biswas, S. and Lohani, B.: EXTRACTION OF SPATIAL PARAMETERS FROM CLASSIFIED LIDAR DATA AND AERIAL PHOTOGRAPH FOR SOUND MODELING, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., I-4, 59-64, doi:10.5194/isprsannals-I-4-59-2012, 2012.

BibTeX EndNote Reference Manager XML