450
June 2015
PHOTOGRAMMETRIC ENGINEERING & REMOTE SENSING
al
. present a new method for image segmentation quality as-
sessment, which combines a traditional geometric-only meth-
od with the thematic similarity index; a metric that expresses
the degree of thematic quality of objects from a user’s perspec-
tive. Their approach allows the assessment to be tailored to
the needs of the specific user.
In regard to image segmentation, Zhang
et al
. present an ap-
proach for dynamically determining scale parameters during
segmentation procedure, making scale parameters adaptive
to specific images and cover meaningful segmentation scales.
The experimental results on a set of high spatial resolution
images proved the effectiveness of an adaptively increased
scale parameter on controlling multi-scale segmentation.
Doxani
et al
. address the change detection potential of GE-
OBIA, focused on urban setting, using only available building
footprint information and a single very high-resolution multi-
spectral image. Their object-based classification methodology
employs advanced scale-space filtering, unsupervised clus-
tering and knowledge-based classification.
Anders
et al
. assess automation potential of classification
procedures and develop a transferable rule set for the ex-
traction of glacial cirques, employing data fusion of lidar data
and color-infrared orthophotographs. The rule set was devel-
oped and applied in areas that are positioned in different alti-
tudinal zones in western Austria.
Related to automation and knowledge exchange Argyridis
and Argialas propose the SPatial Ontology Reasoner (SPOR),
which allows a time efficient development of GEOBIA ontol-
ogies by employing fuzzy, spatial and multiscale representa-
tions. They demonstrate their approach in building extraction
using a QuickBird image.
Heenkenda et al. present an interesting study, compar-
ing different approaches for mangrove tree crowns isolation
based on data fusion of multispectral imagery from World-
View-2 and a digital surface model extracted from aerial pho-
tography. They identified increased accuracy in extracting
tree crowns when incorporating the height information next
to the spectral information of the remote sensing datasets.
Finally, Mitri
et al
. develop a model using a variety of geo-
spatial biophysical and climatic data for estimating wildfire
hazard over Lebanon.
For those seeking additional GEOBIA related resources, we
invite you to access the proceedings of previous conferences
(Blaschke
et al.,
2008) as well as the special issues resulted
from previous GEOBIA conferences (Hay and Blaschke, 2010)
(Addink
et al.
, 2012). Finally, we would like to close this fore-
word by informing our readers that the next GEOBIA confer-
ence will be hosted in 2016 by the University of Twente, Fac-
ulty of Geo-Information Science and Earth Observation (ITC),
Enschede, The Netherlands.
References
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Blaschke, T., 2010. Object based image analysis for remote
sensing,
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