Tiede, D., Lang, S., Albrecht, F., and Holbling, D. 2010. Object-based class modeling for
cadaster-constrained delineation of geo-objects. Photogrammetric Engineering & Remote
Sensing 76(2):193–202.
Tong, B., and Li, J. 2011. Influence of shape parameters on optimal scale selection in multiresolution segmentation. International Conference on Image Analysis and Signal Processing, Hubei, China Oct. 21–23, pp. 235–239.
Tong, H., Maxwell, T., Zhang, Y., and Dey, V. 2012. A supervised and fuzzy-based approach
to determine optimal multi-resolution image segmentation parameters. Photogrammetric
Engineering & Remote Sensing 78(10):1029–1044.
Tzotsos, A., Karantzalos, K., and Argialas, D. 2011. Object-based image analysis through
nonlinear scale-space filtering. ISPRS Journal of Photogrammetry and Remote Sensing
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Verbeeck, K., Hermy, M., and Orshoven, J. 2012. External geo-information in the
segmentation of VHR imagery improves the detection of imperviousness in urban
neighborhoods. International Journal of Applied Earth Observation and Geoinformation
18:428–435.
Vieira, M., Formaggio, A., Renno, C., Atzberger, C., Aguiar, D., and Mello, M. 2012. Object
based image analysis and data mining applied to a remotely sensed Landsat time-series to
map sugarcane over large areas. Remote Sensing of Environment 123:553–562.
Wang, W., Zhao, Z., and Zhu, H. 2009. Object-oriented change detection method based on
multi-scale and multi-feature fusion. 2009 Urban Remote Sensing Joint Event. Shanghai,
China May 20–22.
Wang, Z., Jensen, J., and Im, J. 2010. An automatic region-based image segmentation
algorithm for remote sensing applications. Environmental Modelling and Software
25:1149–1165.
Watmough, G., Atkinson, P., Hutton, C. 2011. A combined spectral and object-based approach
to transparent cloud removal in an operational setting for Landsat ETM+. International
Journal of Applied Earth Observation and Geoinformation 13:220–227.
Whiteside, T., and Ahmad, W. 2005. A comparison of object-oriented and pixel-based
classification methods for mapping land cover in Northern Australia. Proceedings of
SSC 2005 Spatial Intelligence, Innovation and Praxis, Melbourne. September 2005.
Whiteside, T., Boggs, G., and Maier, S. 2011. Comparing object-based and pixel-based
classifications for mapping savannas. International Journal of Applied Earth Observation
and Geoinformation 13:884–893.
Wilschut, L., Addink, E., Heesterbeek, J., Dubyanskiy, V., Davis, S., Laudisoit, A., Begon, M.,
Burdelov, L., Atshabar, B., and de Jong, S. 2013. Mapping the distribution of the main host
for plague in a complex landscape in Kazakhstan: An object-based approach using SPOT-5
XS, Landsat 7 ETM+, SRTM and multiple random forests. International Journal of Applied
Earth Observation and Geoinformation 23:81–94.
Yang, G., Pu, R., Zhang, J., Zhao, C., Feng, H., and Wang, J. 2013. Remote sensing of
seasonal variability of fractional vegetation cover and its object-based spatial pattern
analysis over mountain areas. ISPRS Journal of Photogrammetry and Remote Sensing
77:79–93.
Yi, L., Zhang, G., and Wu, Z. 2012. A scale-synthesis method for high spatial resolution remote
sensing image segmentation. IEEE Transactions on Geoscience and Remote Sensing
50(10):4062–4070.
212
OPTIMUM SCALE IN OBJECT-BASED IMAGE ANALYSIS
cadaster-constrained delineation of geo-objects. Photogrammetric Engineering & Remote
Sensing 76(2):193–202.
Tong, B., and Li, J. 2011. Influence of shape parameters on optimal scale selection in multiresolution segmentation. International Conference on Image Analysis and Signal Processing, Hubei, China Oct. 21–23, pp. 235–239.
Tong, H., Maxwell, T., Zhang, Y., and Dey, V. 2012. A supervised and fuzzy-based approach
to determine optimal multi-resolution image segmentation parameters. Photogrammetric
Engineering & Remote Sensing 78(10):1029–1044.
Tzotsos, A., Karantzalos, K., and Argialas, D. 2011. Object-based image analysis through
nonlinear scale-space filtering. ISPRS Journal of Photogrammetry and Remote Sensing
66:2–16.
Verbeeck, K., Hermy, M., and Orshoven, J. 2012. External geo-information in the
segmentation of VHR imagery improves the detection of imperviousness in urban
neighborhoods. International Journal of Applied Earth Observation and Geoinformation
18:428–435.
Vieira, M., Formaggio, A., Renno, C., Atzberger, C., Aguiar, D., and Mello, M. 2012. Object
based image analysis and data mining applied to a remotely sensed Landsat time-series to
map sugarcane over large areas. Remote Sensing of Environment 123:553–562.
Wang, W., Zhao, Z., and Zhu, H. 2009. Object-oriented change detection method based on
multi-scale and multi-feature fusion. 2009 Urban Remote Sensing Joint Event. Shanghai,
China May 20–22.
Wang, Z., Jensen, J., and Im, J. 2010. An automatic region-based image segmentation
algorithm for remote sensing applications. Environmental Modelling and Software
25:1149–1165.
Watmough, G., Atkinson, P., Hutton, C. 2011. A combined spectral and object-based approach
to transparent cloud removal in an operational setting for Landsat ETM+. International
Journal of Applied Earth Observation and Geoinformation 13:220–227.
Whiteside, T., and Ahmad, W. 2005. A comparison of object-oriented and pixel-based
classification methods for mapping land cover in Northern Australia. Proceedings of
SSC 2005 Spatial Intelligence, Innovation and Praxis, Melbourne. September 2005.
Whiteside, T., Boggs, G., and Maier, S. 2011. Comparing object-based and pixel-based
classifications for mapping savannas. International Journal of Applied Earth Observation
and Geoinformation 13:884–893.
Wilschut, L., Addink, E., Heesterbeek, J., Dubyanskiy, V., Davis, S., Laudisoit, A., Begon, M.,
Burdelov, L., Atshabar, B., and de Jong, S. 2013. Mapping the distribution of the main host
for plague in a complex landscape in Kazakhstan: An object-based approach using SPOT-5
XS, Landsat 7 ETM+, SRTM and multiple random forests. International Journal of Applied
Earth Observation and Geoinformation 23:81–94.
Yang, G., Pu, R., Zhang, J., Zhao, C., Feng, H., and Wang, J. 2013. Remote sensing of
seasonal variability of fractional vegetation cover and its object-based spatial pattern
analysis over mountain areas. ISPRS Journal of Photogrammetry and Remote Sensing
77:79–93.
Yi, L., Zhang, G., and Wu, Z. 2012. A scale-synthesis method for high spatial resolution remote
sensing image segmentation. IEEE Transactions on Geoscience and Remote Sensing
50(10):4062–4070.
212
OPTIMUM SCALE IN OBJECT-BASED IMAGE ANALYSIS