180
Views
21
CrossRef citations to date
0
Altmetric
Original Articles

The performance of a local maxima method for detecting individual tree tops in aerial photographs

, &
Pages 1159-1175 | Received 20 Sep 2004, Accepted 02 Sep 2005, Published online: 30 Sep 2008

References

  • Blasquez , C. H. 1989 . Computer‐based image analysis and tree counting with aerial color infrared photography. . Journal of Imaging Technology , 15 : 163 – 168 .
  • Bolduc , P. , Lowell , K. and Edwards , G. 1999 . Automated estimation of localized forest volume from large‐scale aerial photographs and ancillary cartographic information in a boreal forest. . International Journal of Remote Sensing , 20 : 3611 – 3624 .
  • Daley , N. M. A. , Burnett , C. N. , Wulder , M. , Niemann , K. O. and Goodenough , D. G. 1998 . “ Comparison of fixed‐size and variable‐sized windows for the estimation of tree crown position. ” . In Proceedings of IGARSS, ,98, 6–10 July 1998, Seattle, Wash. Geoscience and Remote Sensing Society, IEEE, New York 1323 – 1325 . In
  • Dralle , K. 1997 . “ Locating trees by digital image processing of aerial photos. ” . PhD dissertation, Danish Forest and Landscape Research Institute, Denmark. Dina Research Report 58
  • Dralle , K. and Rudemo , M. 1996 . Stem number estimation by kernel smoothing in aerial images. . Canadian Journal of Forest Research , 26 : 1228 – 1236 .
  • Dralle , K. and Rudemo , M. 1997 . Automatic estimation of individual tree positions from aerial photos. . Canadian Journal of Forest Research , 27 : 1728 – 1736 .
  • Gong , P. , Sheng , Y. and Biging , G. S. 2002 . 3D model‐based tree measurement from high‐resolution aerial imagery. . Photogrammetric Engineering and Remote Sensing , 68 : 1203 – 1212 .
  • Gougeon , F. 1999 . “ Automatic individual tree crown delineation using a valley‐following algorithm and a rule‐based system. ” . In Proceedings of the International Forum on Automated Interpretation of High Spatial Resolution Digital Imagery for Forestry, 10–12 Edited by: Pacific , B. C . February 1998, Victoria,
  • Korpela , I. 2000 . “ 3‐D matching of tree tops using digitized panchromatic aerial photos. ” . Licentiate thesis, University of Helsinki, Finland
  • Korpela , I. 2004 . Individual Tree Measurements by Means of Digital Aerial Photogrammetry Silva Fennica Monographs 3.
  • Korpela , I. and Anttila , P. 2004 . Appraisal of the mean height of trees by means of image matching of digitised aerial photographs. . Photogrammetric Journal of Finland , 19 : 23 – 36 .
  • Larsen , M. 1997 . “ Crown modeling to find tree top positions in aerial photographs. ” . In Proceedings of the Third International Airborne Remote Sensing Conference and Exhibition, Copenhagen, Denmark. (ERIM International). Vol. 2, ERIM International Inc, Ann Arbor, USA, pp. 428–435
  • Larsen , M. and Rudemo , M. 1998 . Optimizing templates for finding trees in aerial photographs. . Pattern Recognition Letters , 19
  • Leckie , D. , Gougeon , F. , Hill , D. , Quin , R. , Armstrong , L. and Shreenan , R. 2003 . Combined high‐density LIDAR and multispectral imagery for individual tree crown analysis. . Canadian Journal of Remote Sensing , 29 : 633 – 649 .
  • Lowell , K. 1998 . Evaluation of a moving‐window algorithm for detecting individual tree stems from scanned aerial photographs in Victoria’s eucalypt forests. . Australian Forestry , 61 : 226 – 234 .
  • Maltamo , M. , Tokola , T. and Lehikoinen , M. 2003 . Estimating stand characteristics by combining single tree pattern recognition of digital video Imagery and a theoretical diameter distribution Model. . Forest Science , 49 : 98 – 109 .
  • Næsset , E. 2002 . Determination of mean tree height of forest stands by digital photogrammetry. . Scandinavian Journal of Forest Research , 17 : 446 – 459 .
  • Otsu , N. 1979 . A threshold selection method from grey‐level histograms. . IEEE Transactions on Systems, Man and Cybernetics , 9 : 62 – 66 .
  • Pinz , A. 1989 . “ Final results of the vision expert system VES: finding trees in aerial photographs. ” . In Wissensbasierte Mustererkennung, Edited by: Pinz , A . 90 – 111 . Vol. 49 of OCG‐Shiftenreihe
  • Pinz , A. 1991 . “ A computer vision system for the recognition of trees in aerial photographs. ” . In Multisource Data Integration in Remote Sensing, Edited by: Tilton , J . 111 – 125 . NASA, National Aeronautics and Space Administration, Washington DC, USA
  • Pitkänen , J. 2001 . Individual tree detection in digital aerial images by combining locally adaptive binarization and local maxima methods. . Canadian Journal of Forest Research , 31 : 832 – 844 .
  • Pouliot , D. A. , King , D. , Bell , F. W. and Pitt , D. G. 2002 . Automated tree crown detection and delineation in high‐resolution digital camera imagery of coniferous forest regeneration. . Remote Sensing of Environment , 82 : 322 – 334 .
  • Schenk , T. 1999 . Digital Photogrammetry , Laurelville, OH : TerraScience .
  • Tarp‐Johanssen , M. J. 2001 . “ Locating individual trees in even‐aged oak stands by digital image processing of aerial photographs. ” . PhD dissertation, Royal Veterinary and Agricultural University, Copenhagen, Denmark
  • Wulder , M. , Niemann , K. O. and Goodenough , D. G. 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 .

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.