-
1
-
-
33846355379
-
-
Chinese source
-
-
-
-
2
-
-
7044247421
-
A new statistical model for Markovian classification of urban areas in high-resolution SAR images
-
Tison C, Nicolas J M, Tupin F, et al.. A new statistical model for Markovian classification of urban areas in high-resolution SAR images[J]. IEEE Trans. on Geoscience and Remote Sensing, 2004, 42(10): 2046-2056.
-
(2004)
IEEE Trans. on Geoscience and Remote Sensing
, vol.42
, Issue.10
, pp. 2046-2056
-
-
Tison, C.1
Nicolas, J.M.2
Tupin, F.3
-
3
-
-
0031248959
-
Estimation of generalized mixtures and its application in image segmentation
-
Delignon Y, Marzouki A, Pieczynski W. Estimation of generalized mixtures and its application in image segmentation[J]. IEEE Trans. on Image Processing, 1997, 6(10): 1364-1375.
-
(1997)
IEEE Trans. on Image Processing
, vol.6
, Issue.10
, pp. 1364-1375
-
-
Delignon, Y.1
Marzouki, A.2
Pieczynski, W.3
-
5
-
-
85032751903
-
Kernel methods and their potential use in signal processing
-
Pércz-Cruzand F, Bousquet O. Kernel methods and their potential use in signal processing[J]. IEEE Signal Processing Magazine, 2004, 21(3): 57-65.
-
(2004)
IEEE Signal Processing Magazine
, vol.21
, Issue.3
, pp. 57-65
-
-
Pércz-Cruzand, F.1
Bousquet, O.2
-
6
-
-
33947137269
-
Kernel probability density estimation method
-
Towers S. Kernel probability density estimation method[J]. http://www-d0.fnal.gov/_smjt/durham/pde.ps
-
-
-
Towers, S.1
-
8
-
-
0024089491
-
Adaptive segmentation of speckled images using a hierarchical random field model
-
Kelly P A, Derm H, Hartt K D. Adaptive segmentation of speckled images using a hierarchical random field model[J]. IEEE Trans. Acoust., Speech, Signal Processing, 1988, ASSP-36(10): 1628-1641.
-
(1998)
IEEE Trans. Acoust., Speech, Signal Processing
, vol.ASSP-36
, Issue.10
, pp. 1628-1641
-
-
Kelly, P.A.1
Derm, H.2
Hartt, K.D.3
-
9
-
-
0029732348
-
An integration scheme for image segmentation and labeling based on Markov random field model
-
Kim I Y, Yang H S. An integration scheme for image segmentation and labeling based on Markov random field model[J]. IEEE Trans. on Pattern Analysis and Machine Intelligent. 1996, 18(1): 69-73.
-
(1996)
IEEE Trans. on Pattern Analysis and Machine Intelligent
, vol.18
, Issue.1
, pp. 69-73
-
-
Kim, I.Y.1
Yang, H.S.2
-
10
-
-
0032627027
-
A first step toward automatic interpretation of SAR images using evidential fusion of several structure detectors
-
Tupin F, Bloch I, Maitre H. A first step toward automatic interpretation of SAR images using evidential fusion of several structure detectors[J]. IEEE Trans. on Geoscience and Remote Sensing, 1999, 37(3): 1327-1342.
-
(1999)
IEEE Trans. on Geoscience and Remote Sensing
, vol.37
, Issue.3
, pp. 1327-1342
-
-
Tupin, F.1
Bloch, I.2
Maitre, H.3
-
11
-
-
0033730971
-
A simple unsupervised MRF model based image segmentation approach
-
Sarkar A, Biswas M K, Sharma K M S. A simple unsupervised MRF model based image segmentation approach[J]. IEEE Trans. on Image Processing, 2000, 9(5): 801-812.
-
(2000)
IEEE Trans. on Image Processing
, vol.9
, Issue.5
, pp. 801-812
-
-
Sarkar, A.1
Biswas, M.K.2
Sharma, K.M.S.3
-
12
-
-
7644222076
-
Segemcntion of SAR imagery using the Gibbsian Markov Random Field Model
-
China
-
Yong Y, Cao Yongfeng, Sun Hong. Segemcntion of SAR imagery using the Gibbsian Markov Random Field Model[J]. Processing of IEEE Seventh International Conference on Signal Processing, China, September, 2004, Vol.3: 1977-1980.
-
(2004)
Processing of IEEE Seventh International Conference on Signal Processing
, vol.3
, pp. 1977-1980
-
-
Yong, Y.1
Cao, Y.2
Sun, H.3
-
13
-
-
33846378953
-
-
Chinese source
-
-
-
-
14
-
-
33846385444
-
Density estimation for statistics and data analysis
-
London
-
Silverman B W. Density estimation for statistics and data analysis[J]. Chapman and Hall, London, 1986: 84-87.
-
(1986)
Chapman and Hall
, pp. 84-87
-
-
Silverman, B.W.1
|