Ground and Non-Ground Filtering for Airborne LIDAR Data
Dublin Core | PKP Metadata Items | Metadata for this Document | |
1. | Title | Title of document | Ground and Non-Ground Filtering for Airborne LIDAR Data |
2. | Creator | Author's name, affiliation, country | Suchita Yadav; National Institute of Technology, Allahabad, Uttar Pradesh, India |
2. | Creator | Author's name, affiliation, country | (doi: 10.23953/cloud.ijarsg.41) |
3. | Subject | Discipline(s) | M.tech, GIS and RS |
3. | Subject | Keyword(s) | LiDAR, Airborne LiDAR, K-D tree, Point Clouds |
3. | Subject | Subject classification | Lidar technology |
4. | Description | Abstract |
Automatic ground filtering for Light Detection and Ranging (LIDAR) data is a critical process for Digital Terrain Model and three-dimensional urban model generation. Various methods have been proposed in literature to separate ground from non-ground, but sometimes problem has been occurred due to the similar characteristics possessed by ground and non-ground objects. The proposed approach in this paper is based on neighborhood based approach. Hierarchy of preprocessing is done for LIDAR data using various essential tools. K-D tree is used to distinguish the bare ground and non-ground objects using nearest neighbor search. Experimental results show the effectiveness of the proposed approach.
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5. | Publisher | Organizing agency, location | |
6. | Contributor | Sponsor(s) | |
7. | Date | (YYYY-MM-DD) | 2016-02-09 |
8. | Type | Status & genre | Peer-reviewed Article |
8. | Type | Type | |
9. | Format | File format | |
10. | Identifier | Uniform Resource Identifier | http://technical.cloud-journals.com/index.php/IJARSG/article/view/Tech-446 |
11. | Source | Journal/conference title; vol., no. (year) | International Journal of Advanced Remote Sensing and GIS; Volume 5 (Year 2016) |
12. | Language | English=en | en |
14. | Coverage | Geo-spatial location, chronological period, research sample (gender, age, etc.) | |
15. | Rights | Copyright and permissions |
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