ISPRS Commission III, Vol.34, Part 3A ,,Photogrammetric Computer Vision", Graz, 2002
jid 9 Means, I, S. Acker, B. Fitt, M. Renslow, L. Emerson, and C.
rm Hendrix, 2000. Predicting forest stand characteristics with
airborne scanning LIDAR. Photogrammetric Engineering and
bin 8 Remote Sensing, 66, pp. 1367-1371
ing the a :
a. Such Nelson, R., W. Krabill and J. Tonelli, 1988. Estimating forest
vendors biomass and volume using airborne laser data. Remote Sensing
ery and of the Environment, 24, pp. 247-267.
ugh the
er types Pollock, R., 1996. The automatic recognition of individual trees
ind high in aerial images of forests based upon a synthetic tree crown
into the image model. PhD thesis, Department of Computer Science,
University of British Columbia, Vancouver, BC, Canada.
Ripley, B., 1981. Spatial Statistics. Wiley, New York.
Ripley, B., 1991. The use of spatial models as image priors. In:
; 2001; Antonio Possolo, ed., Spatial Statistics and Imaging, vol. 20 of
ological Lecture Notes — Monograph Series, Institute of Mathematical
lel. In: Statistics, Hayward, CA, USA.
"orestry : T
; Rue, H., and M. Hurn, 1999. Bayesian object recognition.
Biometrika, 86(3), pp. 649-660.
eometry : ; se
Kanji, Rue, H., and A. Syversveen, 1998. Bayesian object recognition
ingdon with Baddeley’s delta loss. Advances in Applied Probability,
: 30, pp. 64-84.
Mardia Sheng, Y., P. Gong, and G. Biging, 2001. Model-based conifer-
ÍSHCs L crown surface reconstruction from high-resolution aerial
images. Photogrammetric Engineering and Remote Sensing,
67(8), pp. 957-965.
DNI Sun, G., and K. Ranson, 2000. Modeling lidar returns from
forest canopies. /EEE Transactions on Geoscience and Remote
Sensing 38(6), pp. 2617-2626.
enm Vanderbilt, V.C., L.F. Silva, and M.E. Bauer, 1990. Canopy
p 155. architecture measured with a laser. Applied Optics, 29(1), pp.
: 99-106.
SiCario van Lieshout, M. 1994. Stochastic annealing for nearest-
netrika neighbour point processes with application to object
? recognition. Advances in Applied Probability, 26, 281-300.
van Lieshout, M., 1995. Stochastic geometry models in image
2 wi analysis and spatial statistics. CWI, Amsterdam, the
ns of Netherlands.
ference,
Webb, W. and M. Ungs, 1993. Three-dimensional distribution
1983 of needle and stem surface area in a Douglas-fir. Tree
8), Do. Physiology 13, pp. 203-212.
Acknowledgements
" Spruce The Precision Forestry Cooperative at the University of
eedings Washington College of Forest Resources and the USDA Forest
tion of Service Pacific Northwest Research Station provided financial
‘ictoria, support and data for this research. The authors would also like
to thank Robert McGaughey (USDA Forest Service PNW
Research Station) for assistance in carrying out this research.
ocesses
1999.
. Forest
