Skip to main content

Advertisement

SpringerLink
Log in

A novel stumpage detection method for forest harvesting based on multi-sensor fusion

  • Original Paper
  • Published:
Signal, Image and Video Processing Aims and scope Submit manuscript

Abstract

This paper describes a novel stumpage detection method for forest harvesting based on 2D laser scanner and infrared thermal imager. First, the stumpage information captured by the two sensors is fused via image fusion and laser matching. Then, rich and accurate stumpage features can be extracted from the fused information. Next, an SVM classifier model is constructed by sample training according to the feature data. Finally, in contrast to SVM with default parameters, three different optimization algorithms are proposed to optimize SVM parameters. Based on 400 stumpage samples, the test on the proposed algorithms is conducted. The results show that the SVM with GA has the best detection rate of 96.7 %. Finally, to verify the performance of the method in this paper, some comparative tests were carried out and the experimental results proved the feasibility and accuracy of the proposed method.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

References

  1. Chang, L., Zhao, B., Wen, D., Chen, R., Ma, Z., Yao, D.: Optical system design of visible camera for space target detection. Chin. J. Lasers 37(SUPPL. 1), 136–140 (2010)

  2. Mendes, A., Bento, L.C., Nunes, U.: Multi-target detection and tracking with a laser scanner. In: 2004 IEEE Intelligent Vehicles Symposium. IEEE, pp. 796–801 (2004)

  3. Navarro-Serment, L.E., Mertz, C., Hebert, M.: Pedestrian detection and tracking using three-dimensional ladar data. Int. J. Robot. Res. 29(12), 1516–1528 (2010)

    Article  Google Scholar 

  4. Sume, A., Gustafsson, M., Herberthson, M., et al.: Radar detection of moving targets behind corners. IEEE Trans. Geosci. Remote Sens. 49(6), 2259–2267 (2011)

    Article  Google Scholar 

  5. Wu, B., Liang, J., Ye, Q., et al.: Fast pedestrian detection with laser and image data fusion. In: 2011 Sixth International Conference on Image and Graphics (ICIG), IEEE, pp. 605–608 (2011)

  6. Madhavan, R., Fregene, K., Parker, L.E.: Distributed cooperative outdoor multirobot localization and mapping. Auton. Robot. 17(1), 23–39 (2004)

    Article  Google Scholar 

  7. Schuldt, C., Laptev, I., Caputo, B.: Recognizing human actions: a local SVM approach. In: Proceedings of the 17th International Conference on Pattern Recognition, 2004 (ICPR 2004), vol. 3, pp. 32–36, IEEE (2004)

  8. Gupta, V., Singh, G., Gupta, A., et al.: Occupancy grid mapping using artificial neural networks. In: 2010 International Conference on Industrial Electronics, Control & Robotics (IECR), IEEE, pp. 247–250 (2010)

  9. Pfeifer, N., Gorte, B., Winterhalder, D.: Automatic reconstruction of single trees from terrestrial laser scanner data. In: ISPRS XX th Congress, pp. 114–119 (2004)

  10. Hopkinson, C., Chasmer, L., Young-Pow, C., Treitz, P.: Assessing forest metrics with a ground-based scanning lidar. Can. J. For. Res. 34(1), 573–583 (2004)

  11. Thies, M., Pfeifer, N., Winterhalder, D., Gorte, B.H.: Three-dimensional reconstruction of stems for assessment of taper, sweep and lean based on laser scanning of standing trees. J. For. Res. 19(6), 571–581 (2004)

    Google Scholar 

  12. Jutila, J., Kannas, K., Visala, A.: Tree measurement in forest by 2D laser scanning. In: International Symposium on Computational Intelligence in Robotics and Automation, pp. 491–496 (2007)

  13. Miettinen, M., Ohman, M., Visala, A., Forsman, P.: Simultaneous localization and mapping for forest harvesters. In: IEEE International Conference on Robotics and Automation, pp. 517–522 (2007)

  14. Ohman, M., Miettinen, M., Kannas, K., Jutila, J., Visala, A., Forsman, P.: Tree measurement and simultaneous localization and mapping system for forest harvesters. In: The 6th International Conference on Field and Service Robotics, pp. 369–378 (2007)

  15. Varshney, P.K.: Multisensor data fusion. Electron. Commun. Eng. J. 9(6), 245–253 (1997)

    Article  Google Scholar 

  16. Do, M.N., Vetterli, M.: Contourlets: a directional multi-resolution image representation. In: Proceedings 2002 International Conference on Image Processing, vol. 1, pp. 357–360 (2002)

  17. Lindblad, T., Kinser, J.M.: Image Processing Using Pulse-Coupled Neural Networks. Higher Education Press, China (2008)

    Google Scholar 

  18. Huang, W., Jing, ZhL: Multi-focus image fusion using pulse coupled neural network. Pattern Recogn. Lett. 28, 1123–1132 (2007)

    Article  Google Scholar 

  19. Viola, P., Jones, M.: Robust real-time object detection. Int. J. Comput. Vis. 4, 34–47 (2001)

    Google Scholar 

  20. Ver Hoef, J.M., Temesgen, H.: A comparison of the spatial linear model to nearest neighbor (k-NN) methods for forestry applications. PloS One 8(3), e59129 (2013)

    Article  Google Scholar 

  21. Joshi, A., Bhushan, M.S., Kaur, M.J.: Gait recognition of human using SVM and BPNN classifiers. Int. J. Comput. Sci. Mobile Comput. 3(1), 281–290 (2014)

    Google Scholar 

Download references

Acknowledgments

This study is financially supported by Beijing Higher Education Young Elite Teacher Project (YETP0759), China Postdoctoral Science special Foundation (2013T60070), 948 project supported by State Forestry Administration, China (Grant No. 2011-4-02).

Author information

Authors and Affiliations

  1. School of Technology, Beijing Forestry University, Beijing, China

    Xiaokang Ding, Jianlei Kong, Lei Yan, Jinhao Liu & Zheng Yu

Authors
  1. Xiaokang Ding
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jianlei Kong
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Lei Yan
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Jinhao Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Zheng Yu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Lei Yan.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ding, X., Kong, J., Yan, L. et al. A novel stumpage detection method for forest harvesting based on multi-sensor fusion. SIViP 9, 1843–1850 (2015). https://doi.org/10.1007/s11760-014-0667-y

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11760-014-0667-y

Keywords

Search

Navigation