Individual tree segmentation from a leaf-off photogrammetric point cloud

International Journal of Remote Sensing

Volumn 39, Issue 15-16, 2018, Pages 5195-5210

  Carr, Julia C ^a   Slyder, Jacob B ^a  

^a SECTION OF VERTEBRATE PALEONTOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AERIAL PHOTOGRAPHY; ANTENNAS; ITERATIVE METHODS; MAPPING; MEAN SQUARE ERROR; PHOTOGRAMMETRY; UNMANNED AERIAL VEHICLES (UAV);

DIAMETER-AT-BREAST HEIGHTS; HARDWARE AND SOFTWARE; HIGH RESOLUTION AERIAL IMAGERY; LASER SCANNING POINT CLOUDS; ROOT MEAN SQUARE ERRORS; SMALL UNMANNED AERIAL VEHICLES; STRUCTURAL CHARACTERISTICS; STRUCTURE FROM MOTION;

FORESTRY;

DATA PROCESSING; DECIDUOUS FOREST; FOREST CANOPY; FOREST INVENTORY; GIS; IMAGE RESOLUTION; IMAGERY; LASER METHOD; PHOTOGRAMMETRY; SOFTWARE;

EID: 85041566538     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2018.1434330     Document Type: Article

References (25)

1. ESRI. 2010. “Lidar Analysis in Arcgis ® 9.3.1 for Forestry Applications Lidar Analysis in Arcgis 9.3.1 for Forestry Applications an Esri White Paper.” Accessed 13 June 2017. https://www.esri.com/library/whitepapers/pdfs/lidar-analysis-forestry.pdf.
2. ESRI. 2016. ArcGIS Desktop: Version 10.4. Redlands, CA: Environmental Systems Research Institute.
3. Goutte, C., and E., Gaussier. 2005. A Probabilistic Interpretation of Precision, Recall and F-Score, with Implication for Evaluation, 345–359. Berlin, Heidelberg: Springer. doi:10.1007/978-3-540-31865-1_25.
4. Huang, J., and S., You. 2015. “Pole-Like Object Detection and Classification from Urban Point Clouds.” In 2015 IEEE International Conference on Robotics and Automation (ICRA), 3032–3038. doi:10.1109/ICRA.2015.7139615.
5. Hyyppa, J., O., Kelle, M., Lehikoinen, and M., Inkinen. 2001. “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): 969–975. doi:10.1109/36.921414.
6. Ke, Y., and L. J., Quackenbush. 2011. “A Review of Methods for Automatic Individual Tree-Crown Detection and Delineation from Passive Remote Sensing.” International Journal of Remote Sensing 32 (17): 4725–4747. Taylor & Francis. doi: 10.1080/01431161.2010.494184.
7. Koch, B., U., Heyder, and H., Weinacker. 2006. “Detection of Individual Tree Crowns in Airborne Lidar Data.” Photogrammetric Engineering & Remote Sensing 72 (4): 357–363. doi:10.14358/PERS.72.4.357.
8. Li, W., Q., Guo, M. K., Jakubowski, and M., Kelly. 2012. “A New Method for Segmenting Individual Trees from the Lidar Point Cloud.” Photogrammetric Engineering & Remote Sensing 78 (1): 75–84. doi:10.14358/PERS.78.1.75.
9. Liang, X., A., Kukko, H., Kaartinen, J., Hyyppä, Y., Xiaowei, A., Jaakkola, and Y., Wang. 2014. “Possibilities of a Personal Laser Scanning System for Forest Mapping and Ecosystem Services.” Sensors 14 (1): 1228–1248. Multidisciplinary Digital Publishing Institute. doi: 10.3390/s140101228
10. Liang, X., Y., Wang, A., Jaakkola, A., Kukko, H., Kaartinen, J., Hyyppä, E., Honkavaara, and J., Liu. 2015. “Forest Data Collection Using Terrestrial Image-Based Point Clouds from a Handheld Camera Compared to Terrestrial and Personal Laser Scanning.” IEEE Transactions on Geoscience and Remote Sensing 53 (9): 5117–5132. doi:10.1109/TGRS.2015.2417316.
11. Lisein, J., M., Pierrot-Deseilligny, S., Bonnet, and P., Lejeune. 2013. “A Photogrammetric Workflow for the Creation of a Forest Canopy Height Model from Small Unmanned Aerial System Imagery.” Forests 4(4): 922–944. Multidisciplinary Digital Publishing Institute. doi: 10.3390/f4040922.
12. Lu, X., Q., Guo, L., Wenkai, and J., Flanagan. 2014. “A Bottom-Up Approach to Segment Individual Deciduous Trees Using Leaf-Off Lidar Point Cloud Data.” ISPRS Journal of Photogrammetry and Remote Sensing 94: 1–12. doi:10.1016/j.isprsjprs.2014.03.014.
13. Maltamo, M., K., Eerikainen, J., Pitkainen, J., Hyppa, and M., Vemas. 2004. “Estimation of Timber Volume and Stem Density Based on Scanner Laser Altimetry and Expected Size Distribution Functions.” Remote Sensing of Environment 90: 319–330. doi:10.1016/j.rse.2004.01.006.
14. Moskal, L. M., and G., Zheng. 2011. “Retrieving Forest Inventory Variables with Terrestrial Laser Scanning (TLS) in Urban Heterogeneous Forest.” Remote Sensing 4(12): 1–20. doi:10.3390/rs4010001.
15. Popescu, S. C., R. H., Wynne, and R. F., Nelson. 2003. “Measuring Individual Tree Crown Diameter with Lidar and Assessing Its Influence on Estimating Forest Volume and Biomass.” Canadian Journal of Remote Sensing 29(5): 564–577. NRC Research Press Ottawa, Canada. doi: 10.5589/m03-027.
16. Pouliot, D. A., D. J., King, F. W., Bell, and D. G., Pitt. 2002. “Automated Tree Crown Detection and Delineation in High-Resolution Digital Camera Imagery of Coniferous Forest Regeneration.” Remote Sensing of Environment 82 (2): 322–334. doi:10.1016/S0034-4257(02)00050-0.
17. Pyysalo, U., and H., Hyyppae. 2002. “Reconstructing Tree Crowns from Laser Scanner Data for Feature Extraction.” In ISPRS Commission III, Symposium 2002 September 9-13, 2002, Graz, Austria, no. January 2002: B-218 ff (4 pages). https://www.researchgate.net/profile/Hannu_Hyyppae/publication/228926415_Reconstructing_tree_crowns_from_laser_scanner_data_for_feature_extraction/links/0c960515a7a124b5bb000000.pdf.
18. Reitberger, J., C., Schnörr, P., Krzystek, and U., Stilla. 2009. “3D Segmentation of Single Trees Exploiting Full Waveform LIDAR Data.” ISPRS Journal of Photogrammetry and Remote Sensing 64: 561–574. doi:10.1016/j.isprsjprs.2009.04.002.
19. Sokolova, M., N., Japkowicz, and S., Szpakowicz. 2006. Beyond Accuracy, F-Score and ROC: A Family of Discriminant Measures for Performance Evaluation, 1015–1021. Berlin, Heidelberg: Springer. doi:10.1007/11941439_114.
20. Solberg, S., E., Naesset, and O. M., Bollandsas. 2006. “Single Tree Segmentation Using Airborne Laser Scanner Data in a Structurally Heterogeneous Spruce Forest.” Photogrammetric Engineering & Remote Sensing 72 (12): 1369–1378. doi:10.14358/PERS.72.12.1369.
21. Strîmbu, V. F., and B. M., Strîmbu. 2015. “A Graph-Based Segmentation Algorithm for Tree Crown Extraction Using Airborne LiDAR Data.” ISPRS Journal of Photogrammetry and Remote Sensing 104: 30–43. doi:10.1016/j.isprsjprs.2015.01.018.
22. Swetnam, T. L., and D. A., Falk. 2014. “Application of Metabolic Scaling Theory to Reduce Error in Local Maxima Tree Segmentation from Aerial LiDAR.” Forest Ecology and Management 323: 158–167. doi:10.1016/j.foreco.2014.03.016.
23. Tao, S., W., Fangfang, Q., Guo, Y., Wang, L., Wenkai, B., Xue, H., Xueyang, et al. 2015. “Segmenting Tree Crowns from Terrestrial and Mobile LiDAR Data by Exploring Ecological Theories.” ISPRS Journal of Photogrammetry and Remote Sensing 110: 66–76. doi:10.1016/j.isprsjprs.2015.10.007.
24. Vauhkonen, J., L., Ene, S., Gupta, J., Heinzel, J., Holmgren, J., Pitkanen, S., Solberg, et al. 2012. “Comparative Testing of Single-Tree Detection Algorithms under Different Types of Forest.” Forestry 85(1): 27–40. Oxford University Press. doi: 10.1093/forestry/cpr051.
25. Zhen, Z., L., Quackenbush, and L., Zhang. 2016. “Trends in Automatic Individual Tree Crown Detection and Delineation—Evolution of LiDAR Data.” Remote Sensing 8(4): 333. Multidisciplinary Digital Publishing Institute. doi: 10.3390/rs8040333.