期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2016
卷号：87
期号：2
出版社：Journal of Theoretical and Applied
摘要：The trend of using LIDAR (Light Detection and Ranging) based systems for surveying is increasing every day. These systems output Point cloud data, which can be further processed to produce vital information about the topology of the surveyed area. In this paper, we provide a novel method to process the point cloud data and build the model of the surveyed area that represent the surveyed area more accurately. This method is more noise tolerable and no need to care about the outliers as these outliers gets eroded by morphological erosion operation. In this way, we will not lose features. The scope of this work is restricted to processing the data surveyed from a closed cavities or cave to understand their topology and estimate their volume. Generally, the surveyed data collected using multiple sample sets and as such, each sample set does not register with each others and may consist holes in point cloud due to operational discrepancies. This approach will use the morphological operation to fill the holes. We thereafter use the Sobel cross gradient operator to find out a common border. The KNN algorithm will then define smoother and much thinner.
