urban planning structures did not permit the definition of
several rules based on the topology information. The de-
fined ones were mainly towards describing the relationships
between the structured environment and vegetation, and in
certain cases describing the relationships among buildings.
It should be further noted that the proposed methodol-
ogy may address in a similar way a variety of cartographic
features towards the automated updating of maps, cadastral,
and
GIS
databases. To this end, the developed framework can
form the core of an integrated geospatial service towards the
operational detection and monitoring of illegal building/
settlement construction, while a further thorough validation
on numerous and various high resolution datasets and study
areas can standardize rules and parameters.
References
Bailloeul, T., D. Jinghui, V. Prinet, and B. Serra, 2003. Urban GIS data
as a priori knowledge, Proceedings of the 2
nd
GRSS/ISPRS Joint
Workshop on “Data Fusion and Remote Sensing over Urban
Areas”,22-23 May, Berlin, Germany, pp.283–287.
Baltsavias, E.O., 2004. Object extraction and revision by image
analysis using existing geodata and knowledge: Current status
and steps towards operational systems, ISPRS Journal of
Photogrammetry & Remote Sensing, 58(3-4):129–151.
Benz, U.C, P. Hofmann, G. Willhauck, and M. Lingenfelder, 2004.
Multi-resolution, object- oriented fuzzy analysis of remote
sensing data for GIS-ready information, ISPRS Journal of
Photogrammetry & Remote Sensing, 58(3-4):239–258.
Blaschke, T., 2010. Object based image analysis for remote sensing,
ISPRS Journal of Photogrammetry and Remote Sensing,
65(1):2–16.
Bouziani, M., K. Goita, and D.C. He, 2010. Automatic change
detection of buildings in urban environment from very high
spatial resolution images using existing geodatabase and prior
knowledge, ISPRS Journal of Photogrammetry and Remote
Sensing, 65(1):143– 153.
Champion, N., 2009. Detection of Unregistered Buildings for Updating
2D Databases, Final Report of EuroSDR project “Detection of
unregistered buildings for updating 2D databases,” pp. 9–40.
Champion, N., D. Boldo, M. Pierrot-Deseilligny, and G. Stamon, 2010.
2D building change detection from high resolution satellite
imagery: A two-step hierarchical method based on 3D invariant
primitives, Pattern Recognition Letters, 31(10):1138–1147.
Costa, G.A.O.P., R.Q. Feitosa, T.B. Cazes, and B. Feijo, 2008. Genetic
adaptation of segmentation parameters,
Object-based Image
Analysis- Spatial Concepts for Knowledge-driven Remote
Sensing Applications
(T. Blaschke, S. Lang, and G.J. Hay,
editors), Springer-Verlag Berlin Heidelberg, Berlin, pp.679–695.
Clinton, N., A. Holt, J. Scarborough, L. Yan, and P. Gong, 2010.
Accuracy assessment measures for object-based image
segmentation goodness, Photogrammetric Engineering & Remote
Sensing, 76(3):289–299.
Costa, G.A.O.P., R.Q.Feitosa, T.B. Cazes, and B. Feijo, 2008. Genetic
adaptation of segmentation parameters,
Object-based Image
Analysis- Spatial Concepts for Knowledge-driven Remote
Sensing Applications
(T. Blaschke, S. Lang, and G.J. Hay,
editors), Springer-Verlag Berlin Heidelberg, Berlin, pp.679–695.
Definiens, 2010. Definiens eCognition Developer 8.0.1 Reference
Book, München, Germany, Definiens AG, 236 p.
Doxani, G., K. Karantzalos, and M. Tsakiri-Strati, 2012. Monitoring
urban changes based on scale-space filtering and object-
oriented classification, International Journal of Applied
Earth Observation and Geoinformation, 15(Special Issue on
GEOBIA):18– 48.
Dubuisson, M.P., and A.K. Jain, 1994. A modified Hausdorff distance
for object matching, Proceedings of the 12
th
IAPR International
Conference on Pattern Recognition, 09-13 October, Jerusalem,
Israel, pp.566–568.
Gath, I., and A.B. Geva, 1989. Unsupervised optimal fuzzy
clustering, IEEE Transactions on Pattern Analysis and Machine
Intelligence, 11(7):773–781.
Grigillo, D., M.K. Fras, and D. Petrovič, 2012. Automated building
extraction from IKONOS images in suburban areas, International
Journal of Remote Sensing, 33(16):5149–5170
Holland, D.A., C. Sanchez-Hernandez, and C. Gladstone, 2008.
Detecting changes to topographic features using high resolution
imagery, Proceedings of the XXI
st
ISPRS Congress, 03-11 July,
Beijing, China (International Archives of Photogrammetry,
Remote Sensing and Spatial Information Sciences), Vol.
XXXVII(Part B4):1153– 1158.
Karantzalos, K., D. Argialas, and N. Paragios, 2007. Comparing
morphological levelings constrained by different markers,
Proceedings of 8
th
International Symposium Mathematical
Morphology (Mathematical Morphology and its Applications
to Signal and Image Processing), 10-13 October, Rio de Janeiro,
Brazil, pp.113–124.
Karantzalos, K., 2015. Recent advances on 2D and 3D change
detection in urban environments from remote sensing
data, Computational Approaches for Urban Environments,
Geotechnologies and the Environment 13 (M. Helbich, J. Jokar
Arsanjani, and M. Leitner, editors), Springer International
Publishing Switzerland 2015, pp. 237-272.
Koc-San, D., and M. Turker, 2012. A model-based approach for
automatic building database updating from high-resolution
space imagery, International Journal of Remote Sensing,
33(13):4193-4218.
Leignel, C., O. Caelen, O. Debeir, E. Hanson, T. Leloup, C. Simler, C.
Beumier, G. Bontempi, N. Warzée, and E. Wolff, 2010. Detecting
man-made structure changes to assist geographic data producers
in planning their update strategy, Proceedings of the 76
th
ISPRS
Joint Workshop: Core Spatial Databases - Updating, Maintenance
and Services – From Theory to Practice, 15–17 March, Haifa,
Israel (International Archives of Photogrammetry, Remote Sensing
and Spatial Information Sciences), Vol. XXXVIII, pp. 26–33.
Lucieer, A., and A. Stein, 2002. Existential uncertainty of spatial
objects segmented from satellite sensor imagery, IEEE Trans-
actions on Geoscience and Remote Sensing, 40(11):2518–2521.
Mallinis, G., M. Karteris, I. Theodoridou, V. Tsioukas, and M. Karteris,
2014. Development of a nationwide approach for large scale
estimation of green roof retrofitting areas and roof-top solar
energy potential using VHR natural colour orthoimagery and
DSM data over Thessaloniki, Greece Remote Sensing Letters, 5
(6):548–557.
Matikainen, L., J. Hyypp , E. Ahokas, L. Markelin, and H. Kaartinen,
2010. Automatic detection of buildings and changes in
buildings for updating of maps, Remote Sensing, 2(5): 1217–
1248.
Matikainen, L., 2012. Object-based Interpretation Methods For
Mapping Built-Up Areas, Sc.D in Technology dissertation, Aalto
University School of Science, Espoo, Finland, 83 p.
Mayer, H., 2008. Object extraction in photogrammetric computer
vision, ISPRS Journal of Photogrammetry and Remote Sensing,
63(2):213–222.
Meyer F., 2004. Image simplification filters for segmentation,
International Journal of Mathematical Imaging and Vision, 20(1-
2):59–72.
Neubert, M., H. Herold, and G. Meinel, 2008. Assessing image
segmentation quality - Concepts, methods and application,
Object-Based Image Analysis - Spatial Concepts for Knowledge-
Driven Remote Sensing Applications (T. Blaschke, G. Hay, and S.
Lang, editors), Springer, Berlin, pp.769–784.
Ozdemir, B., S. Aksoy, S. Eckert, M. Pesaresi, and D. Ehrlich, 2010.
Performance measures for object detection evaluation, Pattern
Recognition Letters, 31(10):1128–1137.
Tzotsos, A., K. Karantzalos, and D. Argialas, 2011. Object based image
analysis through nonlinear scale space filtering, ISPRS Journal
of Photogrammetry and Remote Sensing, 66 (1):2–16.
Wang, W., and Y. Zhang, 2007. On fuzzy cluster validity indices,
Fuzzy Sets and Systems, 158(19):2095–2117.
Zhan, Q., M. Molenaar, K. Tempfli, and W. Shi, 2005. Quality
assessment for geo-spatial objects derived from remotely sensed
data, International Journal of Remote Sensing, 26(14):2953–2974.
PHOTOGRAMMETRIC ENGINEERING & REMOTE SENSING
June 2015
489
