IX-B3, 2012
search Program of
tion Program of
mmission (No.
subset of the data
carried out by the
] Remote Sensing
r. And we would
on Urban Object
n, which provided
aillard, S. Benitez,
c filtering and 3D
. Commission III
ROM.
ht Adaptation and |
egmentation. [EEE
-1123
ital aerial camera
Photogrammetrie
marker controlled
SM and imagery.
), 1441-1452.
utomatic building
afer algorithm.
ensing 72 (4), 395-
nplexity measure :
es of IEEE Annual
mation Processing
ntation and object-
building class from
3(8): 1076-1087.
Tracing boundary
/ision Computing,
ing the Dempster-
‘and multi-spectral
usion 6(4),283-300.
. A comparison of
ion from airborne
Topics in Applied
,11-20.
:m house detection
shape, and context.
| of remote sensing
f Photogrammetry
xcitatory globally
sactionson Neural
wang, D.L., Terman, D.,1997. Image segmentation based on
oscillatory correlation. Neural Computation 9, 805-836.
Wang, D.L. 2007 .Computational scene analysis. In Challenges
for Computational Intelligence, W. Duch and J. Mandziuk, Ed,
DSM raster data
Springer, Berlin.
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B3, 2012
XXII ISPRS Congress, 25 August - 01 September 2012, Melbourne, Australia
Wang, Z. Schenk T., 2000. Building extraction and
reconstruction from LiDAR data, International Archives of
Photogrammetry and Remote Sensing, Vol. 33, Part B3.
Amsterdam, The Netherlands, unpaginated CD-ROM.
DSM Height textures based on
Initialization
Calculation of coupling weights
Leader cell selection in Building targets
Determination of Global inhibitory
LEGION for DSM
Segmentation
the GLCM
extract buildi
DSM Roughness to determine
S Global Inhibitory value
r
Self-excitable cell detected
Self-excitation
segmentation of one region
——
YES
Excitable
Cell detected
Excitation of
NO | dependent cells
Inhibition to |
Region Labeling
Figure. 1 Flow chart of Extended LEGION Segment for Building
( DSM Segmentation and Building Extraction )
Extraction from DSM
Suburban
Figure 2. DSM of experimental data
A2
Suburban
Figure 3 GLCM homogeneity result of experiment data(homogeneity in light)