-
1
-
-
84155181072
-
ANN vs. SVM: Which one performs better in classificationof MCCs in mammogram imaging
-
Feb.
-
J. Ren, "ANN vs. SVM: Which one performs better in classificationof MCCs in mammogram imaging," Knowledge-Based Syst., vol. 26,pp. 144-153, Feb. 2012.
-
(2012)
Knowledge-Based Syst.
, vol.26
, pp. 144-153
-
-
Ren, J.1
-
2
-
-
40349100592
-
RVM-based multi-class classification of remotely sensed data
-
DOI 10.1080/01431160701822115, PII 791027033
-
G. M. Foody, "RVM-based multi-class classification of remotely senseddata," Int. J. Remote Sens., vol. 29, no. 6, pp. 1817-1823, 2008. (Pubitemid 351338305)
-
(2008)
International Journal of Remote Sensing
, vol.29
, Issue.6
, pp. 1817-1823
-
-
Foody, G.M.1
-
3
-
-
57649140412
-
Multiclass and binary SVM classification:Implications for training and classification users
-
Apr.
-
A. Mathur and G. M. Foody, "Multiclass and binary SVM classification:Implications for training and classification users," IEEE Geosci. RemoteSens. Lett., vol. 5, no. 2, pp. 241-245, Apr. 2008.
-
(2008)
IEEE Geosci. RemoteSens. Lett.
, vol.5
, Issue.2
, pp. 241-245
-
-
Mathur, A.1
Foody, G.M.2
-
5
-
-
0029667623
-
Classification of remotely-sensed imagery using an indicatorkriging approach-Application to the problem of calcite-dolomitemineral mapping
-
Apr.
-
F. Van derMeer, "Classification of remotely-sensed imagery using an indicatorkriging approach-Application to the problem of calcite-dolomitemineral mapping," Int. J. Remote Sens., vol. 17, no. 6, pp. 1233-1249,Apr. 1996.
-
(1996)
Int. J. Remote Sens.
, vol.17
, Issue.6
, pp. 1233-1249
-
-
Van Dermeer, F.1
-
6
-
-
0029305196
-
Defining an optimal size of supportfor remote sensing investigations
-
May
-
P. M. Atkinson and P. J. Curran, "Defining an optimal size of supportfor remote sensing investigations," IEEE Trans. Geoscience and RemoteSensing, vol. 33, no. 3, pp. 768-776, May 1995.
-
(1995)
IEEE Trans. Geoscience and RemoteSensing
, vol.33
, Issue.3
, pp. 768-776
-
-
Atkinson, P.M.1
Curran, P.J.2
-
7
-
-
0029735435
-
Interpolating satellite derived wind field data using ordinary kriging, with application to the Nadir Gap
-
PII S019628929600695X
-
M. R. Inggs and R. T. Lord, "Interpolating satellite derived wind field datausing ordinary kriging with application to the nadir gap," IEEE Trans.Geosci. Remote Sens., vol. 34, no. 1, pp. 250-256, Jan. 1996. (Pubitemid 126780875)
-
(1996)
IEEE Transactions on Geoscience and Remote Sensing
, vol.34
, Issue.1
, pp. 250-256
-
-
Inggs, M.R.1
Lord, R.T.2
-
8
-
-
0033934816
-
An anisotropic spatial modelingapproach for remote sensing image rectification
-
Jul.
-
K. S. Cheng, H. C. Yeh, and C. H. Tsai, "An anisotropic spatial modelingapproach for remote sensing image rectification," Remote Sens. Environ.,vol. 73, no. 1, pp. 46-54, Jul. 2000.
-
(2000)
Remote Sens. Environ.
, vol.73
, Issue.1
, pp. 46-54
-
-
Cheng, K.S.1
Yeh, H.C.2
Tsai, C.H.3
-
9
-
-
0032208030
-
The semivariogram in comparison to the co-occurrence matrix for classification of image texture
-
PII S0196289298049663
-
J. R. Carr and F. P. Miranda, "The semivariogram in comparison to theco-occurrence matrix for classification of image texture," IEEE Trans.Geosci. Remote Sens., vol. 36, no. 6, pp. 1945-1952, Nov. 1998. (Pubitemid 128748593)
-
(1998)
IEEE Transactions on Geoscience and Remote Sensing
, vol.36
, Issue.6
, pp. 1945-1952
-
-
Carr, J.R.1
De Miranda, F.P.2
-
10
-
-
0030184109
-
Geostatistical description of textures on an aerial photographfor discriminating classes of land-cover
-
Jul.
-
R. M. Lark, "Geostatistical description of textures on an aerial photographfor discriminating classes of land-cover," Int. J. Remote Sens., vol. 17,no. 11, pp. 2115-2133, Jul. 1996.
-
(1996)
Int. J. Remote Sens.
, vol.17
, Issue.11
, pp. 2115-2133
-
-
Lark, R.M.1
-
11
-
-
17344387949
-
Computing geostatistical image texture for remotely sensed data classification
-
DOI 10.1016/S0098-3004(99)00118-1, PII S0098300499001181, Geostatistics and geospatial techniques in remote sensing
-
M. Chica-Olmo and F. Arbarca-Hrnandez, "Computing geostatisticalimage texture for remotely sensed data classification," Comput. Geosci.,vol. 26, no. 4, pp. 373-383, May 2000. (Pubitemid 30228964)
-
(2000)
Computers and Geosciences
, vol.26
, Issue.4
, pp. 373-383
-
-
Chica-Olmo, M.1
Abarca-Hernandez, F.2
-
12
-
-
0034092755
-
Geostatistical classification for remotesensing: An introduction
-
May 2000
-
P. M. Atkinson and P. Lewis, "Geostatistical classification for remotesensing: An introduction," Comput. Geosci., vol. 26, no. 4, pp. 361-373,May 2000.
-
Comput. Geosci.
, vol.26
, Issue.4
, pp. 361-373
-
-
Atkinson, P.M.1
Lewis, P.2
-
13
-
-
0028552531
-
Extraction of mineral absorption features from highspectralresolution data using non-parametric geostatistical techniques
-
F. Van der Meer, "Extraction of mineral absorption features from highspectralresolution data using non-parametric geostatistical techniques,"Int. J. Remote Sens., vol. 15, no. 11, pp. 2193-2214, 1994.
-
(1994)
Int. J. Remote Sens.
, vol.15
, Issue.11
, pp. 2193-2214
-
-
Meer Der F.Van1
-
16
-
-
84865742501
-
Simultaneous feature selectionand SVM parameter determination in classification of hyperspectralimagery using ant colony optimization
-
Apr.
-
F. Samadzadegan, H. Hasani, and T. Schenk, "Simultaneous feature selectionand SVM parameter determination in classification of hyperspectralimagery using ant colony optimization," Can. J. Remote Sens., vol. 38,no. 2, pp. 139-156, Apr. 2012.
-
(2012)
Can. J. Remote Sens.
, vol.38
, Issue.2
, pp. 139-156
-
-
Samadzadegan, F.1
Hasani, H.2
Schenk, T.3
-
17
-
-
77951295936
-
Feature selection for classification of hyperspectraldata by SVM
-
May 2010
-
M. Pal and G. M. Foody, "Feature selection for classification of hyperspectraldata by SVM," IEEE Trans. Geosci. Remote Sens., vol. 48, no. 5,pp. 2297-2307, May 2010.
-
IEEE Trans. Geosci. Remote Sens.
, vol.48
, Issue.5
, pp. 2297-2307
-
-
Pal, M.1
Foody, G.M.2
-
18
-
-
77957308673
-
Urban land use andland cover classification using the neural-fuzzy inference approach withformosat-2 data
-
Oct.
-
H.W. Chen, N. B. Chang, R. F. Yu, and Y.W. Huang, "Urban land use andland cover classification using the neural-fuzzy inference approach withFORMOSAT-2 data," J. Appl. Remote Sens., vol. 3, no. 1, pp. 033558-1-033558-18, Oct. 2009.
-
(2009)
J. Appl. Remote Sens.
, vol.3
, Issue.1
, pp. 0335581-03355818
-
-
Chen, H.W.1
Chang, N.B.2
Yu, R.F.3
Huang, Y.W.4
-
20
-
-
84896403883
-
-
[Online]. Available:
-
Online]. Available: http://www.csie.ntu.edu.tw/~cjlin/libsvm
-
-
-
|