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extraction and classification for homogenous objects applied to multispectral and hyperspectral data. IEEE Transactions on Geoscience and Remote Sensing 43(4):844–851.
Jung, C. 2007. Unsupervised multiscale segmentation of color images. Pattern Recognition
Letters 28:523–533.
Karantzalos, K., and Argialas, D. 2006. Improving edge detection and watershed segmentation
with anisotropic diffusion and morphological levelings. International Journal of Remote
Sensing 27(24):5427–5434.
Karantzalos, K., Argialas, D., and Paragios, N. 2007. Comparing morphological levelings
constrained by different markers. In G. Banon, et al. (Eds.), Mathematical Morphology and
Its Applications to Signal and Image Processing, MCT/INPE, Brazil, pp. 113–124.
Kermad, C., and Chehdi, K. 2002. Automatic image segmentation system through iterative
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Kimmel, R., Zhang, C., Bronstein, A., and Bronstein, M. 2011. Are mser features really
interesting? IEEE Transactions on Pattern Analysis and Machine Intelligence 33:2316–2320.
Klonus, S., Tomowski, D., Ehlers, M., Reinartz, P., and Michel, U. 2012. Combined edge segment
texture analysis for the detection of damaged buildings in crisis areas. IEEE Journal of Selected
Topics in Applied Earth Observations and Remote Sensing 5:1118–1128.
Koenderink, J. 1984. The structure of images. Biological Cybernetics 50(5):363–370.
Lehmann, G. 2008. Label object representation and manipulation with itk. Insight Journal,
9:1–34.
Lennon, M., Mercier, G., and Hubert-Moy, L. 2002. Classification of hyperspectral images
with nonlinear filtering and support vector machines. In IEEE International Geoscience
and Remote Sensing Symposium, IGARSS’02, Dec 2002, Toronto, Canada, Vol 3,
pp. 1670–1672.
Lindeberg, T. 1994. Scale-Space Theory in Computer Vision. Dordrecht: Kluwer Academic.
Liu, Y., Guo, Q., and Kelly, M. 2008. A framework of region-based spatial relations for nonoverlapping features and its application in object based image analysis. ISPRS Journal of
Photogrammetry and Remote Sensing 63(4):461–475.
Martha, T., Kerle, N., van Westen, C., Jetten, V., and Kumar, K. 2011. Segment optimization
and data-driven thresholding for knowledge-based landslide detection by object-based
image analysis. IEEE Transactions on Geoscience and Remote Sensing 49:4928–4943.
194
MULTISCALE SEGMENTATION AND CLASSIFICATION
and quantifying complex landscapes. Ecological Modelling 153(1–2):27–49.
Hofmann, P., Strobl, J., and Blaschke, T. 2008. A method for adapting global image
segmentation methods to images of different resolutions. In International Conference on
Geographic Object-Based Image Analysis. ISPRS Volume 38; on CD-ROM.
Hsu, C. W., and Lin, C. J. 2002. A comparison of methods for multiclass support vector
machines. IEEE Transactions on Neural Networks 13(2):415–425.
Inglada, J., and Christophe, E. 2009. The orfeo toolbox remote sensing image processing
software. In Geoscience and Remote Sensing Symposium, 2009 IEEE International,
IGARSS 2009, pp. IV–733.
Jiang, H., Yu, S., and Martin, D. 2011. Linear scale and rotation invariant matching. IEEE
Transactions on Pattern Analysis and Machine Intelligence 33:1339–1355.
Jimenez, L. O., Rivera-Medina, J. L., Rodriguez-Diaz, E., Arzuaga-Cruz, E., and RamirezVelez, M. 2005. Integration of spatial and spectral information by means of unsupervised
extraction and classification for homogenous objects applied to multispectral and hyperspectral data. IEEE Transactions on Geoscience and Remote Sensing 43(4):844–851.
Jung, C. 2007. Unsupervised multiscale segmentation of color images. Pattern Recognition
Letters 28:523–533.
Karantzalos, K., and Argialas, D. 2006. Improving edge detection and watershed segmentation
with anisotropic diffusion and morphological levelings. International Journal of Remote
Sensing 27(24):5427–5434.
Karantzalos, K., Argialas, D., and Paragios, N. 2007. Comparing morphological levelings
constrained by different markers. In G. Banon, et al. (Eds.), Mathematical Morphology and
Its Applications to Signal and Image Processing, MCT/INPE, Brazil, pp. 113–124.
Kermad, C., and Chehdi, K. 2002. Automatic image segmentation system through iterative
edge-region co-operation. Image and Vision Computing 20:541–555.
Kimmel, R., Zhang, C., Bronstein, A., and Bronstein, M. 2011. Are mser features really
interesting? IEEE Transactions on Pattern Analysis and Machine Intelligence 33:2316–2320.
Klonus, S., Tomowski, D., Ehlers, M., Reinartz, P., and Michel, U. 2012. Combined edge segment
texture analysis for the detection of damaged buildings in crisis areas. IEEE Journal of Selected
Topics in Applied Earth Observations and Remote Sensing 5:1118–1128.
Koenderink, J. 1984. The structure of images. Biological Cybernetics 50(5):363–370.
Lehmann, G. 2008. Label object representation and manipulation with itk. Insight Journal,
9:1–34.
Lennon, M., Mercier, G., and Hubert-Moy, L. 2002. Classification of hyperspectral images
with nonlinear filtering and support vector machines. In IEEE International Geoscience
and Remote Sensing Symposium, IGARSS’02, Dec 2002, Toronto, Canada, Vol 3,
pp. 1670–1672.
Lindeberg, T. 1994. Scale-Space Theory in Computer Vision. Dordrecht: Kluwer Academic.
Liu, Y., Guo, Q., and Kelly, M. 2008. A framework of region-based spatial relations for nonoverlapping features and its application in object based image analysis. ISPRS Journal of
Photogrammetry and Remote Sensing 63(4):461–475.
Martha, T., Kerle, N., van Westen, C., Jetten, V., and Kumar, K. 2011. Segment optimization
and data-driven thresholding for knowledge-based landslide detection by object-based
image analysis. IEEE Transactions on Geoscience and Remote Sensing 49:4928–4943.
194
MULTISCALE SEGMENTATION AND CLASSIFICATION