Open Access
| Issue |
MATEC Web Conf.
Volume 139, 2017
2017 3rd International Conference on Mechanical, Electronic and Information Technology Engineering (ICMITE 2017)
|
|
|---|---|---|
| Article Number | 00005 | |
| Number of page(s) | 5 | |
| DOI | https://doi.org/10.1051/matecconf/201713900005 | |
| Published online | 05 December 2017 | |
- Barber D., Mills J. and Smith-Voysey S. Geometric validation of a ground- based mobile laser scanning system. ISPRS Journal of Photogrammetry and Remote Sensing 63,1 (2008) [Google Scholar]
- Rottensteiner F. Status and Further Prospects of Object Extraction from Image and Laser Data. Joint Workshop on Urban Remote Sensing: 2009 Joint Urban Remote Sensing Event. 20–22 May 2009, Shanghai, China [Google Scholar]
- Huang X., Zhang L.P. and Gong W. Information fusion of aerial images and LIDAR data in urban areas: vector-stacking, re-classification and post-processing approaches. International Journal of Remote Sensing 32, 1 (2011) [CrossRef] [Google Scholar]
- Kim J. and Muller J.P. Tree and building detection in dense urban environments using automated processing of IKONOS image and LiDAR data. International Journal of Remote Sensing 32,8 (2011) [Google Scholar]
- Reitberger J., Krzystek P. and Stilla U. Analysis of full waveform LIDAR data for the classification of deciduous and coniferous trees. International Journal of Remote Sensing 29,5 (2008) [CrossRef] [Google Scholar]
- Clarke J., Gibson D. and Apps H. The use of LiDAR in applied interpretive landform mapping for natural resource management, Murray River alluvial plain, Australia. International Journal of Remote Sensing 31,23 (2010) [CrossRef] [Google Scholar]
- Sithole G. and Vosselman G. Experimental comparison of filter algorithms for bare-Earth extraction from airborne laser scanning point clouds. ISPRS Journal of Photogrammetry and Remote Sensing 59,1–2 (2004) [CrossRef] [Google Scholar]
- Liu X., Zhang Z., Peterson J. and Chandra S. Large area DEM generation using intensity airborne LiDAR data and quality control. The 8th International Symposium on Spatial Accuracy Assessment in Nature Resources and Environmental Sciences. 25–27 June 2008, Shanghai, China [Google Scholar]
- Hyyppa J., Kelle O., Lehikoinen M. and Inkinen M. A segmentation-based method to retrieve stem volume estimates from 3-D tree height models produced by laser scanners. IEEE Transactions on Geoscience and Remote Sensing 39,5 (2001) [Google Scholar]
- Naesset E. Predicting forest stand characteristics with airborne scanning laser using a practical two-stage procedure and field data. Remote Sensing Environment 80,1 (2002) [CrossRef] [Google Scholar]
- Naesset E. Estimating above-ground biomass in young forests with airborne laser scanning. International Journal of Remote Sensing 32,2 (2011) [CrossRef] [Google Scholar]
- Jaakkola A., Hyyppa J., Kukko A., Yu X.W., Kaartinen H., Lehtomaki M. and Lin Y. A low-cost multi-sensoral mobile mapping system and its feasibility for tree measurements. ISPRS Journal of Photogrammetry and Remote Sensing 65,6 (2010) [CrossRef] [Google Scholar]
- Puttonen E., Jaakkola A., Litkey P. and Hyyppa J. Tree Classification with Fused Mobile Laser Scanning and Hyperspectra Data. Sensors 11 (2011) [Google Scholar]
- Rutzinger M., Pratihast A.K., Elberink S.J.O. and Vosselman G. Tree Modelling From Mobile Laser Scanning Data-Sets. Photogrammetric Record 26,135 (2011) [CrossRef] [Google Scholar]
- Pu S., Rutzinger M. and Vosselman G. Recognizing basic structures from mobile laser scanning data for road inventory studies. ISPRS Journal of Photogrammetry and Remote Sensing 66,6 (2011) [Google Scholar]
- Reichle R.H. Data assimilation methods in the Earth sciences. Advances in Water Resources 31,11 (2008) [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.