-
1
-
-
51049091899
-
Stochastic watershed segmentation
-
Rio, Brazil, INPE, Eds. Banon, G. et al.
-
J. Angulo, D. Jeulin. Stochastic watershed segmentation. In Proc. Int. Symp. Mathematical Morphology ISMM'07, Rio, Brazil, INPE, Eds. Banon, G. et al., 265-276, 2007.
-
(2007)
Proc. Int. Symp. Mathematical Morphology ISMM'07
, pp. 265-276
-
-
Angulo, J.1
Jeulin, D.2
-
2
-
-
77950959012
-
Multiscale stochastic watershed for unsupervised hyperspectral image segmentation
-
Cape Town, South Africa, July
-
J. Angulo, S. Velasco-Forero, J. Chanussot. Multiscale stochastic watershed for unsupervised hyperspectral image segmentation. In Proc. of IEEE IGARSS'2009, Vol. III, 93-96, Cape Town, South Africa, July 2009.
-
(2009)
Proc. of IEEE IGARSS'2009
, vol.3
, pp. 93-96
-
-
Angulo, J.1
Velasco-Forero, S.2
Chanussot, J.3
-
3
-
-
0000442474
-
The morphological approach to segmentation: The watershed transformation
-
Marcel Dekker, Eds. E. Dougherty, 1992
-
S. Beucher, F. Meyer. The Morphological Approach to Segmentation: The Watershed Transformation. In Mathematical Morphology in Image Processing, Marcel Dekker, Eds. E. Dougherty, 1992, 433-481, 1992.
-
(1992)
Mathematical Morphology in Image Processing
, pp. 433-481
-
-
Beucher, S.1
Meyer, F.2
-
8
-
-
0003702046
-
-
McGraw-Hill, Boston
-
D.G. Manolakis, V.K. Ingle, S.M. Kogon. Statistical and Adpative Signal Processing: Spectral Estimation, Signal Modelling, Adaptive Filtering and Array Processing, McGraw-Hill, Boston, 2000.
-
(2000)
Statistical and Adpative Signal Processing: Spectral Estimation, Signal Modelling, Adaptive Filtering and Array Processing
-
-
Manolakis, D.G.1
Ingle, V.K.2
Kogon, S.M.3
-
9
-
-
0035392132
-
Hyperspectral subpixel target detection using the linear mixing model
-
D.G. Manolakis, C. Siracusa, G. Shaw. Hyperspectral Subpixel Target Detection Using the Linear Mixing Model. IEEE Trans. on Geoscience and Remote Sensing, Vol. 39, No. 7, 2001.
-
(2001)
IEEE Trans. on Geoscience and Remote Sensing
, vol.39
, Issue.7
-
-
Manolakis, D.G.1
Siracusa, C.2
Shaw, G.3
-
11
-
-
38049184686
-
Random germs and stochastic watershed for unsupervised multispectral image segmentation
-
LNAI 4694, Springer
-
G. Noyel, J. Angulo, D. Jeulin. Random Germs and Stochastic Watershed for Unsupervised Multispectral Image Segmentation. In Proc. KES 2007/WIRN 2007, Part III, LNAI 4694, Springer, 17-24, 2007.
-
(2007)
Proc. KES 2007/ WIRN 2007
, Issue.PART III
, pp. 17-24
-
-
Noyel, G.1
Angulo, J.2
Jeulin, D.3
-
12
-
-
70349970371
-
Classification-driven stochastic watershed. Application to multispectral segmentation
-
Terrasa-Barcelona, Spain
-
G. Noyel, J. Angulo, D. Jeulin. Classification-driven stochastic watershed. Application to multispectral segmentation. In Proc. of the IS&T's Fourth European Conference on Color on Graphics, Imaging and Vision (CGIV'2008), Terrasa-Barcelona, Spain, 471-476, 2008.
-
(2008)
Proc. of the IS & T's Fourth European Conference on Color on Graphics, Imaging and Vision (CGIV'2008)
, pp. 471-476
-
-
Noyel, G.1
Angulo, J.2
Jeulin, D.3
-
13
-
-
77953755136
-
A novel protocol for accuracy assessment in classification of very high resolution images
-
C. Persello, L. Bruzzone. A Novel Protocol for Accuracy Assessment in Classification of Very High Resolution Images. IEEE Trans. on Geoscience and Remote Sensing, Vol. 48, No. 3, 1232-1244, 2010.
-
(2010)
IEEE Trans. on Geoscience and Remote Sensing
, vol.48
, Issue.3
, pp. 1232-1244
-
-
Persello, C.1
Bruzzone, L.2
-
15
-
-
67649865837
-
Segmentation and classification of hyperspectral data using watershed
-
Boston-Massachusetts, USA, July
-
Y. Tarabalka, J. Chanussot, J.-A. Benediktsson, J. Angulo, M. Fauvel. Segmentation and classification of hyperspectral data using watershed. In Proc. of IEEE IGARSS'08, Boston-Massachusetts, USA, July 2008.
-
(2008)
Proc. of IEEE IGARSS'08
-
-
Tarabalka, Y.1
Chanussot, J.2
Benediktsson, J.-A.3
Angulo, J.4
Fauvel, M.5
-
16
-
-
77953764526
-
Segmentation and classification of hyperspectral images using watershed transformation
-
Y. Tarabalka, J. Chanussot, J.-A. Benediktsson. Segmentation and classification of hyperspectral images using watershed transformation. Pattern Recognition, 2010.
-
(2010)
Pattern Recognition
-
-
Tarabalka, Y.1
Chanussot, J.2
Benediktsson, J.-A.3
-
18
-
-
65049083029
-
Improving hyperspectral image classification using spatial preprocessing
-
S. Velasco-Forero, V. Manian. Improving Hyperspectral Image Classification Using Spatial Preprocessing. IEEE Geoscience and Remote Sensing Letters, 6(2): 297-301, 2009.
-
(2009)
IEEE Geoscience and Remote Sensing Letters
, vol.6
, Issue.2
, pp. 297-301
-
-
Velasco-Forero, S.1
Manian, V.2
-
19
-
-
0001256711
-
Discrimination among semiarid landscape endmembers using the spectral angle mapper (SAM) algorithm
-
R.H. Yuhas, A.F.H. Goetz, J.W. Boardman. Discrimination among semiarid landscape endmembers using the spectral angle mapper (SAM) algorithm. In Summaries of the Third Annual JPL Airborne Geoscience Workshop, JPL Publication 92-14, Vol. 1, 147-149, 1992.
-
(1992)
Summaries of the Third Annual JPL Airborne Geoscience Workshop, JPL Publication 92-14
, vol.1
, pp. 147-149
-
-
Yuhas, R.H.1
Goetz, A.F.H.2
Boardman, J.W.3
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