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Proceedings Paper

A grid-based architecture for LIDAR data interpolation
Author(s): Lin Su; Jinhua Tao; Shukai Li
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Paper Abstract

LiDAR data interpolation is an important step in LiDAR data processing. Interpolation arithmetic involves high time complexity. Now it is difficult to tackle it by existing centralized processing because of increasing datasets. Emerging Grid technologies is a cost-effective solution for solving scientific problems that involve large datasets and complex analyses. In this paper we present a grid-based architecture to coordinate various resources as LiDAR data processing platform, utilizing centralized task scheduling and parallel computing technologies. LiDAR data is partitioned into appropriate slice and neighboring slice boundary is overlap. These slices are send to each node by scheduler. Computation speed is improved by parallel computing of each node. Grid service is the interface of interpolation arithmetic. In addition, it is beneficial to make these available to the community in a unified framework through a portal, so scientists can focus on their scientific work and not be concerned with the implementation of the underlying infrastructure.

Paper Details

Date Published: 19 February 2008
PDF: 6 pages
Proc. SPIE 6625, International Symposium on Photoelectronic Detection and Imaging 2007: Related Technologies and Applications, 66250F (19 February 2008); doi: 10.1117/12.790773
Show Author Affiliations
Lin Su, Institute of Remote Sensing Applications (China)
Jinhua Tao, Institute of Remote Sensing Applications (China)
Shukai Li, Institute of Remote Sensing Applications (China)


Published in SPIE Proceedings Vol. 6625:
International Symposium on Photoelectronic Detection and Imaging 2007: Related Technologies and Applications

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