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Articles

Unconstrained approach for isolating individual trees using high-resolution aerial imagery

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Pages 89-114 | Received 17 Sep 2012, Accepted 16 Oct 2013, Published online: 28 Nov 2013

References

  • Atkinson, P. M., and P. J. Curran. 1997. “Choosing an Appropriate Spatial Resolution for Remote Sensing Investigations.” Photogrammetric Engineering and Remote Sensing 63: 1345–1351.
  • Benjamin, S., and L. Gaydos. 1990. “Spatial Resolution Requirements for Automated Cartographic Road Extraction.” Photogrammetric Engineering and Remote Sensing 56: 93–100.
  • Brandtberg, T. 1998. “Automated Delineation of Individual Tree Crowns in High Spatial Resolution Aerial Images by Multiple-Scale Analysis.” Machine Vision and Applications 11: 64–73.
  • Brandtberg, T. 1999. “Automatic Individual Tree Based Analysis of High Spatial Resolution Aerial Images on Naturally Regenerated Boreal Forests.” Canadian Journal of Forest Research 29: 1464–1478.
  • Chapra, S. C., and R. P. Canale. 2006. Numerical Methods for Engineers. New York: McGraw-Hill.
  • Chiang, A. C. 1974. Fundamental Methods of Mathematical Economics. New York: McGraw-Hill.
  • Culvenor, D. S. 2000. “Development of a Tree Delineation Algorithm for Application to High Spatial Resolution Digital Imagery of Australian Native Forest.” PhD diss., University of Melbourne.
  • Culvenor, D. S. 2002. “TIDA: An Algorithm for the Delineation of Tree Crowns in High Spatial Resolution Remotely Sensed Imagery.” Computers & Geosciences 28: 33–44.
  • Dralle, K., and M. Rudemo. 1996. “Stem Number Estimation by Kernel Smoothing of Aerial Photos.” Canadian Journal of Forest Research 26: 1228–1236.
  • Erikson, M. 2003. “Segmentation of Individual Tree Crowns in Colour Aerial Photographs Using Region Growing Supported by Fuzzy Rules.” Canadian Journal of Forest Research 33: 1557–1563.
  • Gemmel, F. 1998. “An Investigation of Terrain Effects on the Inversion of a Forest Reflectance Model.” Remote Sensing of Environment 65: 155–169.
  • Gougeon, F. A. 1995. “A Crown-Following Approach to the Automatic Delineation of Individual Tree Crowns in High Spatial Resolution Images.” Canadian Journal of Remote Sensing 21: 274–288.
  • Gougeon, F. A., and D. G. Leckie. 2003. Forest Information Extraction from High Spatial Resolution Images Using an Individual Tree Crown Approach. Information report BC–X–396, natural resources Canada, Canadian forest service. Victoria: Pacific Forestry Centre.
  • Jung, S. E., D. A. Kwak, T. Park, W. K. Lee, and S. Yoo. 2011. “Estimating Crown Variables of Individual Trees Using Airborne and Terrestrial Laser Scanners.” Remote Sensing 3: 2346–2363.
  • Kangas, A., and M. Maltamo. 2006. Forest Inventory: Methodology and Applications (Managing Forest Ecosystem). Netherlands: Springer.
  • Ke, Y., and L. J. Quackenbush. 2011. “A Comparison of Three Methods for Automatic Tree Crown Detection and Delineation from High Spatial Resolution Imagery.” International Journal of Remote Sensing 32: 3625–3647.
  • Koch, B., U. Heyder, and H. Welnacker. 2006. “Detection of Individual Tree Crowns in Airborne Lidar Data.” Photogrammetric Engineering and Remote Sensing 4: 357–363.
  • Kwak, D. A., W. K. Lee, H. K. Cho, S. H. Lee, Y. Son, M. Kafatos, and S. R. Kim. 2010. “Estimating Stem Volume and Biomass of Pinus Koraiensis Using LiDAR Data.” Journal of Plant Research 123: 1–12.
  • Kwak, D. A., W. K. Lee, J. H. Lee, G. S. Biging, and P. Gong. 2007. “Detection of Individual Trees and Estimation of Tree Height Using LiDAR Data.” Journal of Forest Research 12: 425–434.
  • Lamar, W. R., J. B. McGraw, and T. A. Warner. 2005. “Multi-Temporal Censusing of a Population of Eastern Hemlock (Tsuga Canadensis L.) From Remotely Sensed Imagery Using an Automated Segmentation and Reconciliation Procedure.” Remote Sensing of Environment 94: 133–143.
  • Larsen, M. 1999. “Finding an Optimal Match Window for Spruce Top Detection Based on an Optical Tree Model.” Paper presented at the International Forum on Automated Interpretation of High Spatial Resolution Digital Imagery for Forestry, Victoria, February 10–12.
  • Leckie, D., F. Gougeon, D. Hill, R. Quinn, L. Armstrong, and R. Shreenan. 2003. “Combined High-Density Lidar and Multispectral Imagery for Individual Tree Crown Analysis.” Canadian Journal of Remote Sensing 29: 633–649.
  • Leckie, D., F. Gougeon, S. Tinis, T. Nelson, N. Burnett, and D. Paradine. 2005. “Automated Tree Recognition in Old Growth Conifer Stands with High Resolution Digital Imagery.” Remote Sensing of Environment 94: 311–326.
  • Lee, J. Y. 2000. “Integrating Spatial and Spectral Information for Automatic Feature Identification in High Resolution Remotely Sensed Images.” PhD diss., University of West Virginia.
  • Li, X., and A. H. Strahler. 1992. “Geometric-Optical Bidirectional Reflectance Modelling of the Discrete Crown Vegetation Canopy: Effect of Crown Shape on Mutual Shadowing.” IEEE Transactions on Geo-Science and Remote Sensing 30: 276–291.
  • Meyer, F., and S. Beucher. 1990. “Morphological Segmentation.” Journal of Visual Communication and Image Representation 1: 21–46.
  • Myers, B. J. 1982. “Shadowless Aerial Photography for Vegetation Studies – A Review of Benefits and Limitations.” Australian Forestry 45: 142–151.
  • Næsset, E. 2002. “Predicting Forest Stand Characteristics with Airborne Scanning Laser Using a Practical Two-Stage Procedure and Field Data.” Remote Sensing of Environment 80: 88–99.
  • Næsset, E., and K. O. Bjerknes. 2001. “Estimating Tree Heights and Number of Stems in Young Forest Stands Using Airborne Laser Scanner Data.” Remote Sensing of Environment 78: 328–340.
  • Nelson, R. F., W. Krabill, and J. Tonelli. 1988. “Estimating Forest Biomass and Volume Using Airborne Laser Data.” Remote Sensing of Environment 24: 247–267.
  • Park, T., J. Y. Lee, W. K. Lee, D. A. Kwak, H. Kwak, and S. Lee. 2011. “Automated Individual Tree Detection and Crown Delineation Using High Spatial Resolution RGB Aerial Imagery.” Korean Journal of Remote Sensing 27: 703–715.
  • Persson, A., J. Holmgren, and U. Soderman. 2002. “Detecting and Measuring Individual Trees Using an Airborne Laser Scanner.” Photogrammetric Engineering and Remote Sensing 68: 925–932.
  • Pinz, A. 1991. “A Computer Vision System for Recognition of Trees in Aerial Photographs.” Paper presented at the International Association of Pattern Recognition Workshop, Washington, DC, June 14–15.
  • Pollock, R. J. 1996. “The Automatic Recognition of Individual Trees in Aerial Images of Forests Based on a Synthetic Tree Crown Model.” PhD diss., University of British Columbia.
  • Pollock, R. J. 1999. “Individual Tree Recognition Based on a Synthetic Tree Crown Image Model.” Paper presented at the International Forum on Automated Interpretation of High Spatial Resolution Digital Imagery for Forestry, Victoria, February 10–12.
  • Pouliot, D. A., and D. J. King. 2005. “Approaches for Optimal Automated Individual Tree Crown Detection in Regenerating Coniferous Forests.” Canadian Journal of Remote Sensing 31: 255–267.
  • 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: 322–334.
  • Quackenbush, L. J., P. F. Hopkins, and G. J. Kinn. 2000. “Using Template Correlation to Identify Individual Trees in High Resolution Imagery.” Paper presented at the 2000 ASPRS Annual Conference, Washington, DC, December 1–6.
  • Roberts, R. J. 1965. Machine Perception of Three Dimensional Solids. Cambridge, MA: MIT Press.
  • Tange, T., K. Kojima, H. Yagi, and M. Suzuki. 1994. “Influence of Stand Density on the Increment of Leaf Biomass in the Young Cryptomeria Japonica Stand before Canopy Closing.” Bulletin of Tokyo University Forestry 92: 37–44.
  • Wang, L., P. Gong, and G. S. Biging. 2004. “Individual Tree-Crown Delineation and Treetop Detection in High Spatial Resolution Aerial Imagery.” Photogrammetric Engineering & Remote Sensing 70: 351–358.
  • Warner, T. A., J. Y. Lee, and J. B. McGraw. 1999. “Delineation and Identification of Individual Trees in the Eastern Deciduous Forest.” Paper presented at the International Forum on Automated Interpretation of High Spatial Resolution Digital Imagery for Forestry, Victoria, February 10–12.
  • Wulder, M. A., K. O. Niemann, and D. G. Goodenough. 2000. “Local Maximum Filtering for the Extraction of Tree Locations and Basal Area from High Spatial Resolution Imagery.” Remote Sensing of Environment 73: 103–114.

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