The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B3a. Beijing 2008
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0.5m is according to the variation of elevation
(from zero to 15m) in NDSM. With performing
this program for various amounts of h we will
have small changes in finally result. Infact, if
we select large amounts of h, we will lose some
peaks of NDSM and if we select small amounts
of h we will have answers with high noise
(unnecessary peaks). With the extraction of
peak points we can use of them in many
applications in order to obtain different goals
such as providing 3D city models, tele
communication industry, control analysis,
navigation and landscape planning.
For example after extracting of peak points, we
can create a 3D city model in urban regions. For
this purpose, the peaks can transformed on
satellite imagery such as IKONOS,
QUICKBIRD, CARTOSAT, est. and the
elevation regions are obtain on satellite images,
also the height of these regions is extracted
from NDSM and so the 3D city model will be
provided. The result in implementation of the
proposed method has shown its capability in
solving the problem of artificial elevation
features extraction.
REFERENCES:
Braun, C., Kolbe Th., Lang, F., Schickler, W.,
Steinhage, V., Cremers, A.N., Forstner, w.,
Plumer, L., 1995. Models for Photogrammetric
Building Reconstruction.Computer Graphics,
Vol. 19,No. l,pp. 109- 118.
Haala, N., Brenner, C., 1999. Extraction of
buildings,trees in urban environments.ISPRS
Journal of Photogrammetry & Remote Sensing,
54,pp.130-137.
Kim,T.,Choi, S.D., 2000. A Technique for 3D
Modelling of Buildings satellite Technology
Research Center,373-1 ,Kusung-Dong,Yusung-
Gu,Taejun.
Mass, H.G., Vosselman, G., 1999. Two
algorithms for extracting building models from
raw laser altimetry data. ISPRS Journal of
photogrammetry & Remote Sensing, 54,pp.l53-
163.
Matheron, G., 1988. Random Sets and Integral
Geometry, John Wiley & Sons
Serra, J., 1988. Image Analysis and
Mathematical Morphology, Academic Press
Tao, G., Yasuoka, Y., 2001. Snake-based
approach for building extraction from high-
resolution satellite images and height data in
urban areas,Institute of Industrial Science ,
University of Tokyo.
Vincent L., 1993. Morphological grayscale
reconstruction in image analysis: applications
and efficient algorithms, published in the IEEE
Transaction on Image Processing, Vol. 2, No. 2,
pp. 176-201.
Weidner, U., 1995. Towards automatic building
extraction from high resolution digital elevation
models.
ISPRS Journal of Photogrammetry & Remote
sensing , 50(4),pp.38-49.
Young, N., 2002. Mathematical morphology,
http://www.bath.ac.uk/eleceng/pages/sipg/resea
rch/morphologv/morphology.htm