Canny, J. 1986. A computational approach to edge detection. IEEE Transactions on Pattern
Analysis and Machine Intelligence 6:679–698.
Carleer, A., Debeir, O., and Wolff, E. 2005. Assessment of very high spatial resolution
satellite image segmentations. Photogrammetric Engineering and Remote Sensing 71(11):
1285–1294.
Chia, A.Y.S., Rajan, D., Leung, M. K., and Rahardja, S. 2012. Object recognition by
discriminative combinations of line segments, ellipses, and appearance features. IEEE
Transactions on Pattern Analysis and Machine Intelligence 34:1758–1772.
Christophe, E., and Inglada, J. 2009. Open source remote sensing: Increasing the usability of
cutting-edge algorithms. IEEE Geoscience and Remote Sensing Newsletter, 2009, 9–15.
Comaniciu, D., and Meer, P. 2002. Mean shift: A robust approach toward feature space
analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence 24:603–619.
Cufi, X., Munoz, X., Freixenet, J., and Marti, J. 2003. A review of image segmentation
techniques integrating region and boundary information. Advances in Imaging and Electron
Physics 120:1–39.
Derrode, S., and Mercier, G. 2007. Unsupervised multiscale oil slick segmentation from sar
images using a vector hmc model. Pattern Recognition 40:1135–1147.
Doxani, G., Karantzalos, K., and Tsakiri-Strati, M. 2012. Monitoring urban changes based on
scale-space filtering and object-oriented classification. International Journal of Applied
Earth Observation and Geoinformation 15:38–48.
Dragut, L., Schauppenlehner, T., Muhar, A., Strobl, J., and Blaschke, T. 2009. Optimization of
scale and parametrization for terrain segmentation: An application to soil-landscape
modeling. Computers & Geosciences 35(9):1875–1883.
Dragut, L., Tiede, D., and Levick, S. R. 2010. ESP: A tool to estimate scale parameter for
multiresolution image segmentation of remotely sensed data. International Journal of
Geographical Information Science 24:859–871.
Duarte-Carvajalino, J., Castillo, P., and Velez Reyes, M. 2007. Comparative study of semiimplicit schemes for nonlinear diffusion in hyperspectral imagery. IEEE Transactions on
Image Processing 16(5):1303–1314.
Duarte-Carvajalino, J., Sapiro, G., Velez Reyes, M., and Castillo, P. 2008. Multiscale
representation and segmentation of hyperspectral imagery using geometric partial differential equations and algebraic multigrid. IEEE Transactions on Geoscience and Remote
Sensing 46(8):2418–2434.
Gilboa, G. 2008. Nonlinear scale space with spatially varying stopping time. IEEE Transactions on Pattern Analysis and Machine Intelligence 30:2175–2187.
Hall, O., and Hay, G. J. 2003. A multiscale object-specific approach to digital change detection.
International Journal of Applied Earth Observation and Geoinformation 4(4):311–327.
Hay, G., Blaschke, T., Marceau, D., and Bouchard, A. 2003. A comparison of three imageobject methods for the multiscale analysis of landscape structure. ISPRS Journal of
Photogrammetry and Remote Sensing 57(5–6):327–345.
Hay, G., and Castilla, G. 2006. Object-based image analysis: Strengths, weaknesses, opportunities and threats. Interanational Archive of Photogrammetry, Remote Sensing and Spatial
Information Sciences 36(4/C42): on CD–ROM.
Hay, G., Castilla, G., Wulder, M., and Ruiz, J. 2005. An automated object-based approach for
the multiscale image segmentation of forest scenes. International Journal of Applied Earth
Observation and Geoinformation 7(4):339–359.
REFERENCES
193
Analysis and Machine Intelligence 6:679–698.
Carleer, A., Debeir, O., and Wolff, E. 2005. Assessment of very high spatial resolution
satellite image segmentations. Photogrammetric Engineering and Remote Sensing 71(11):
1285–1294.
Chia, A.Y.S., Rajan, D., Leung, M. K., and Rahardja, S. 2012. Object recognition by
discriminative combinations of line segments, ellipses, and appearance features. IEEE
Transactions on Pattern Analysis and Machine Intelligence 34:1758–1772.
Christophe, E., and Inglada, J. 2009. Open source remote sensing: Increasing the usability of
cutting-edge algorithms. IEEE Geoscience and Remote Sensing Newsletter, 2009, 9–15.
Comaniciu, D., and Meer, P. 2002. Mean shift: A robust approach toward feature space
analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence 24:603–619.
Cufi, X., Munoz, X., Freixenet, J., and Marti, J. 2003. A review of image segmentation
techniques integrating region and boundary information. Advances in Imaging and Electron
Physics 120:1–39.
Derrode, S., and Mercier, G. 2007. Unsupervised multiscale oil slick segmentation from sar
images using a vector hmc model. Pattern Recognition 40:1135–1147.
Doxani, G., Karantzalos, K., and Tsakiri-Strati, M. 2012. Monitoring urban changes based on
scale-space filtering and object-oriented classification. International Journal of Applied
Earth Observation and Geoinformation 15:38–48.
Dragut, L., Schauppenlehner, T., Muhar, A., Strobl, J., and Blaschke, T. 2009. Optimization of
scale and parametrization for terrain segmentation: An application to soil-landscape
modeling. Computers & Geosciences 35(9):1875–1883.
Dragut, L., Tiede, D., and Levick, S. R. 2010. ESP: A tool to estimate scale parameter for
multiresolution image segmentation of remotely sensed data. International Journal of
Geographical Information Science 24:859–871.
Duarte-Carvajalino, J., Castillo, P., and Velez Reyes, M. 2007. Comparative study of semiimplicit schemes for nonlinear diffusion in hyperspectral imagery. IEEE Transactions on
Image Processing 16(5):1303–1314.
Duarte-Carvajalino, J., Sapiro, G., Velez Reyes, M., and Castillo, P. 2008. Multiscale
representation and segmentation of hyperspectral imagery using geometric partial differential equations and algebraic multigrid. IEEE Transactions on Geoscience and Remote
Sensing 46(8):2418–2434.
Gilboa, G. 2008. Nonlinear scale space with spatially varying stopping time. IEEE Transactions on Pattern Analysis and Machine Intelligence 30:2175–2187.
Hall, O., and Hay, G. J. 2003. A multiscale object-specific approach to digital change detection.
International Journal of Applied Earth Observation and Geoinformation 4(4):311–327.
Hay, G., Blaschke, T., Marceau, D., and Bouchard, A. 2003. A comparison of three imageobject methods for the multiscale analysis of landscape structure. ISPRS Journal of
Photogrammetry and Remote Sensing 57(5–6):327–345.
Hay, G., and Castilla, G. 2006. Object-based image analysis: Strengths, weaknesses, opportunities and threats. Interanational Archive of Photogrammetry, Remote Sensing and Spatial
Information Sciences 36(4/C42): on CD–ROM.
Hay, G., Castilla, G., Wulder, M., and Ruiz, J. 2005. An automated object-based approach for
the multiscale image segmentation of forest scenes. International Journal of Applied Earth
Observation and Geoinformation 7(4):339–359.
REFERENCES
193