Bannour, H., and C. Hudelot, 2014. Building and using fuzzy
multimedia ontologies for semantic image annotation,
Multimedia Tools and Applications
, 72(3):2107–2141.
Belgiu, M., T. Lampoltshammer, and B. Hofer, 2013. An extension of
an ontology-based land cover designation approach for fuzzy
rules,
Proceedings of GI_Forum 2013: Creating the GISociety
(T.
Jekel, A. Car, and G. Griesebner, editors), Austrian Academy of
Sciences Press, Vienna, Austria, pp. 59–70.
Belgiu, M., and T. Lampoltshammer, 2013. Ontology based
interpretation of very high resolution imageries - Grounding
ontologies on visual interpretation keys,
Proceedings of the
Sixteenth AGILE International Conference on Geographic
Information Science
, 14-17 May, Leuven, Belgium, pp. 1–5.
Belgiu, M., I. Tomljenovic, T. Lampoltshammer, T. Blaschke, and
B. Höfle, 2014. Ontology-based classification of building types
detected from airborne laser scanning data,
Remote Sensing
,
6(2):1347–1366.
Benz, U., P. Hofmann, G. Willhauck, I. Lingenfelder, and M. Heynen,
2004. Multi-resolution, object-oriented fuzzy analysis of remote
sensing data for GIS-ready Information,
ISPRS Journal of
Photogrammetry and Remote Sensing
, 58(3-4):239–258.
Bertrand de Beuvron, F., S. Marc-Zwecker, A. Puissant, and C. Zanni-
Merk, 2013. From expert knowledge to formal ontologies for
semantic interpretation of the urban environment from satellite
images,
International Journal of Knowledge-Based and Intelligent
Engineering Systems
, 17(1):55–65.
Blaschke, T., G. Hay, M. Kelly, S. Lang, P. Hofmann, E. Addink,
R. Feitosa, F. Meer, H. Werff, F. Coillie, and D. Tiede, 2014.
Geographic object-based image analysis - Towards a new
paradigm,
ISPRS Journal of Photogrammetry and Remote
Sensing
, 87:180–191.
Blaschke, T., and J. Strobl, 2010. Geographic information science
developments, GIS Science - Zeitschrift für Geoinformatik,
23(1):9–15.
Blaschke, T., S. Lang, and G. Hay, 2008. Object-Based Image Analysis
- Spatial Concepts for Knowledge-Driven Remote Sensing
Applications, Springer, Berlin, Heidelberg, 817 p.
Bobillo, F., and U. Straccia, 2011. Fuzzy ontology representation
using OWL 2,
International Journal of Approximate Reasoning
,
52(7):1073–1094.
Brusa, G., M. Caliusco, and O. Chiotti, 2006. A process for
building a domain ontology: An experience in developing
a government budgetary ontology,
Proceedings of the AOW
Second Australasian Workshop on Advances in Ontologies
, 05
December, Hobalt, Australia, 72:7–15.
Burnett, C., and T. Blaschke, 2003. A multi-scale segmentation/object
relationship modelling methodology for landscape analysis,
Ecological Modelling
, 168(3):233–249.
Doulaverakis, C., A. Tzotsos, I. Tsampoulatidis, N. Gerontidis, A.
Argyridis, K. Karantzalos, I. Kompatsiaris, and D. Argialas, 2014.
Gnorasi: A modular knowledge-based platform for object-based
image analysis,
Proceedings of the 5
th
GEOBIA - Advancements,
Trends and Challenges
, 21-24 May, Thessaloniki, Greece,
3(2S):473–476.
Durand, N., S. Derivaux, G. Forestier, C. Wemmert, P. Gançarski,
O. Boussaid, and A. Puissant, 2007. Ontology-based object
recognition for remote sensing image interpretation,
Proceedings
of the 19
th
IEEE International Conference on Tools with Artificial
Intelligence, ICTAI 2007
, 29-31 October, Patras, Greece, 1:472–479.
Forestier, G., A. Puissant, C. Wemmert, and P. Gançarski, 2012.
Knowledge-based region labeling for remote sensing image
interpretation,
Computers, Environment and Urban Systems
,
36(5):470–480.
Free Software Foundation, 2007. GNU general public license, version
3, URL:
,
Free Software
Foundation
(last date accessed: 15 April 2015).
Gruber, T., 1995. Toward principles for the design of ontologies
used for knowledge sharing,
International Journal of Human-
Computer Studies
, 43(5-6):907–928.
Guarino, N., 1997. Semantic matching: Formal ontological
distinctions for information organization, extraction, and
integration,
Information Extraction: A Multidisciplinary
Approach to an Emerging Information Technology
(M. Pazienza
editor), Springer, Berlin, Heidelberg, 1299, pp. 139–170.
Hay, G., and G. Castilla, 2008. Geographic object-based image analysis
(GEOBIA): A new name for a new discipline,
Object-Based
Image Analysis - Spatial Concepts for Knowledge-driven Remote
Sensing Applications
(T. Blaschke, S. Lang, and G. Hay, editors),
Springer, Berlin, Heidelberg, pp. 75–89.
Hudelot, C., J. Atif, and I. Bloch, 2008. Fuzzy spatial relation ontology for
image interpretation,
Fuzzy Sets and Systems
, 159(15):1929–1951.
Kohli, D., R. Sliuzas, N. Kerle, and A. Stein, 2012. An ontology of
slums for image-based classification,
Computers, Environment
and Urban Systems
, 36(2):154–163.
Lüscher, P., R. Weibel, and D. Burghardt, 2009. Integrating ontological
modelling and Bayesian inference for pattern classification in
topographic vector data,
Computers, Environment and Urban
Systems
, 33(5):363–374.
Lutz, M., and E. Klien, 2006. Ontology-based retrieval of geographic
information,
International Journal of Geographical Information
Science
, 20(3):233–260.
Mallinis, G., I. Gitas, V. Giannakopoulos, F. Maris, and M. Strati,
2013. An object-based approach for flood area delineation in a
transboundary area using ENVISAT ASAR and LANDSAT TM
data,
International Journal of Digital Earth
, 6(2):124–136.
Motik, B., P. Schneider, and B. Parsia, 2012.
OWL 2 web ontology
language: Structural specification and functional-style syntax
(second edition), URL:
,
World Wide Web Consortium (last date accessed: 20 November
2014).
Open Geospatial Consortium, 2014.
OGC standards
, URL: http://
, Open Geospatial
Consortium (last date accessed: 20 November 2014).
Paslaru, E., B. Simprel, and C. Temprich, 2006. Ontology engineering:
a reality check,
On the Move to Meaningful Internet Systems
2006: CoopIS, DOA, GADA, and ODBASE
(R. Meersman and Z.
Tari, editors), Springer, Berlin, Heidelberg, 4275:836–854.
PostgreSQL Global Development Group, 2014.
PostgreSQL 9.3.0
documentation
, URL:
/,
PostgreSQL Global Development Group (last date accessed: 15
April 2015).
QGIS Development Team, 2014. QGIS 2.6,
Geographic Information
System User Guide
, Open Source Geospatial Foundation
Project, URL:
QGIS
Development Team (last date accessed: 15 April 2015).
Torres, M., R. Quintero, M. Moreno, and F. Fonseca, 2005. Ontology-
driven description of spatial data for their semantic processing,
GeoSpatial Semantics
(M. Rodríguez, I. Cruz, S. Levashkin, and
M. Egenhofer, editors), Springer, Berlin, Heidelberg, 3799:242–
249.
Trimble, 2011.
eCognition Developer 8.64.0 Reference Book
, Trimble
München, Germany, 206p.
Tzotsos, A., and D. Argialas, 2006. MSEG: A generic region-based
multi-scale image segmentation algorithm for remote sensing
imagery,
Proceedings of the ASPRS 2006 Annual Conference
,
01-05 May, Reno, Nevada, unpaginated CD-ROM.
Tzotsos, A., and D. Argialas, 2008. Support vector machine
classification for object-based image analysis,
Object-Based
Image Analysis, Lecture Notes in Geoinformation and
Cartography
(T. Blaschke, S. Lang, and G. Hay, Editors),
Springer, Berlin, Heidelberg, pp. 663–677.
Wang, H., S. Liu, and L. Chia, 2006. Does ontology help in image
retrieval? - A comparison between keyword, text ontology and
multi-modality ontology approaches,
Proceedings of the 14
th
annual ACM International Conference on Multimedia
, 23-27
October, Santa Barbara, California, pp. 109–112.
Zadeh, L., 1965. Fuzzy sets, Information and Control, 8(3):338–353.
Zhan, Q., X. Zhang, and D. Li, 2008. Ontology-based semantic des-
cription model for discovery and retrieval of geospatial informa-
tion,
The International Archives of the Photogrammetry, Remote
Sensing, and Spatial Information Sciences
, 37(B4):141–146.
498
June 2015
PHOTOGRAMMETRIC ENGINEERING & REMOTE SENSING
