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ORCIDJean-Marie Beaulieu
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2010 – 2019
- 2014
[c9]Jean-Marie Beaulieu:
Tensor based mean-shift polsar image enhancement. IGARSS 2014: 4544-4547- 2010
- [c8]Jean-Marie Beaulieu, Ridha Touzi:
Mean-shift and hierarchical clustering for textured polarimetric SAR image segmentation/classification. IGARSS 2010: 2519-2522
2000 – 2009
- 2009
- [c7]Lionel Bombrun
, Jean-Marie Beaulieu, Gabriel Vasile, Jean Philippe Ovarlez, Frédéric Pascal, Michel Gay:
Hierarchical Segmentation of Polarimetric SAR Images using Heterogeneous Clutter Models. IGARSS (3) 2009: 5-8 - 2008
- [j3]Lionel Bombrun, Jean-Marie Beaulieu:
Fisher Distribution for Texture Modeling of Polarimetric SAR Data. IEEE Geosci. Remote. Sens. Lett. 5(3): 512-516 (2008) - [c6]Jean-Marie Beaulieu, Ridha Touzi:
Classification of Polarimetric SAR Images using Radiometric and Texture Information. IGARSS (4) 2008: 29-32 - [c5]Lionel Bombrun, Jean-Marie Beaulieu:
Segmentation of Polarimetric SAR Data based on the Fisher Distribution for Texture Modeling. IGARSS (5) 2008: 350-353 - 2006
- [c4]Jean-Marie Beaulieu:
Pseudo-convex Contour Criterion for Hierarchical Segmentation of SAR Images. CRV 2006: 29 - 2004
- [j2]Jean-Marie Beaulieu, Ridha Touzi:
Segmentation of textured polarimetric SAR scenes by likelihood approximation. IEEE Trans. Geosci. Remote. Sens. 42(10): 2063-2072 (2004) - 2003
- [c3]Jean-Marie Beaulieu, Ridha Touzi:
Segmentation of textured scenes using polarimetric SARs. IGARSS 2003: 446-448 - 2002
- [c2]Jean-Marie Beaulieu, Ridha Touzi:
Hierarchical segmentation of polarimetric SAR images. IGARSS 2002: 2590-2592
1990 – 1999
- 1998
- [c1]Guy W. Mineau, Mounsif Lahboub, Jean-Marie Beaulieu:
An Object Indexing Methodology as Support to Object Recognition. Canadian AI 1998: 72-85
1980 – 1989
- 1989
- [j1]Jean-Marie Beaulieu, Morris Goldberg:
Hierarchy in Picture Segmentation: A Stepwise Optimization Approach. IEEE Trans. Pattern Anal. Mach. Intell. 11(2): 150-163 (1989) - [p1]Jean-Marie Beaulieu, Pierre Boulanger:
Segmentation of Range Images by piecewise Approximation with Shape Constraints. Computer Vision and Shape Recognition 1989: 87-98
Coauthor Index
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