-
1
-
-
0025920289
-
Optimal ground-based sampling for remote sensing investigations: estimating the regional meant
-
Atkinson, P.M. 1991. Optimal ground-based sampling for remote sensing investigations: estimating the regional meant. International Journal of Remote Sensing, 12(no. 3): 559-567.
-
(1991)
International Journal of Remote Sensing
, vol.12
, Issue.3
, pp. 559-567
-
-
Atkinson, P.M.1
-
4
-
-
28844459083
-
Optimal field sampling for targeting minerals using hyperspectral data
-
Debba, P., van Ruitenbeek, F.J.A., van der Meer, F.D., Carranza, E.J.M. and Stein, A. 2005. Optimal field sampling for targeting minerals using hyperspectral data. Remote Sensing of Environment, 99(no. 4): 373-386.
-
(2005)
Remote Sensing of Environment
, vol.99
, Issue.4
, pp. 373-386
-
-
Debba, P.1
van Ruitenbeek, F.J.A.2
van der Meer, F.D.3
Carranza, E.J.M.4
Stein, A.5
-
5
-
-
85139983802
-
Supervised and unsupervised discretization of continuous features
-
In: Priedits A. Russell S. editors Proceeding of the Twelfth International Conference on Machine Learning
-
Dougherty, J., Kohavi, R. and Sahami, M. Supervised and unsupervised discretization of continuous features. Proceeding of the Twelfth International Conference on Machine Learning. Edited by: Priedits, A. and Russell, S. pp.194-202.
-
-
-
Dougherty, J.1
Kohavi, R.2
Sahami, M.3
-
6
-
-
0345403556
-
Assessing map accuracy in a remotely sensed, ecoregion-scale cover map
-
Edwards, T.C., Moisen, G.G. and Culter, D.R. 1998. Assessing map accuracy in a remotely sensed, ecoregion-scale cover map. Remote Sensing of Environment, 63(no. 1): 73-83.
-
(1998)
Remote Sensing of Environment
, vol.63
, Issue.1
, pp. 73-83
-
-
Edwards, T.C.1
Moisen, G.G.2
Culter, D.R.3
-
7
-
-
0003024008
-
On the handling of continuous-valued attributes in decision tree generation
-
Fayyad, U.M. and Irani, K.B. 1992. On the handling of continuous-valued attributes in decision tree generation. Machine Learning, 8(no. 1): 87-102.
-
(1992)
Machine Learning
, vol.8
, Issue.1
, pp. 87-102
-
-
Fayyad, U.M.1
Irani, K.B.2
-
8
-
-
0036213079
-
Status of land cover classification accuracy assessment
-
Foody, G.M. 2002. Status of land cover classification accuracy assessment. Remote Sensing of Environment, 80(no. 1): 185-201.
-
(2002)
Remote Sensing of Environment
, vol.80
, Issue.1
, pp. 185-201
-
-
Foody, G.M.1
-
9
-
-
40349114181
-
Harshness in image classification accuracy assessment
-
Foody, G.M. 2008. Harshness in image classification accuracy assessment. International Journal of Remote Sensing, 29(no. 11): 3137-3158.
-
(2008)
International Journal of Remote Sensing
, vol.29
, Issue.11
, pp. 3137-3158
-
-
Foody, G.M.1
-
10
-
-
70449338714
-
Sample size determination for image classification accuracy assessment and comparison
-
Foody, G.M. 2009. Sample size determination for image classification accuracy assessment and comparison. International Journal of Remote Sensing, 30(no. 20): 5273-5291.
-
(2009)
International Journal of Remote Sensing
, vol.30
, Issue.20
, pp. 5273-5291
-
-
Foody, G.M.1
-
11
-
-
48749116764
-
Exploring the sample quality using rough sets theory for the supervised classification of remotely sensed imagery
-
Ge, Y., Bai, H.X., Li, S.P. and Li, D.Y. 2008. Exploring the sample quality using rough sets theory for the supervised classification of remotely sensed imagery. Geo-spatial Information Science, 11(no. 2): 95-102.
-
(2008)
Geo-spatial Information Science
, vol.11
, Issue.2
, pp. 95-102
-
-
Ge, Y.1
Bai, H.X.2
Li, S.P.3
Li, D.Y.4
-
12
-
-
70449377908
-
Rough set-derived measures in image classification accuracy assessment
-
Ge, Y., Bai, H.X., Cao, F., Li, S.P., Feng, X.F. and Li, D.Y. 2009. Rough set-derived measures in image classification accuracy assessment. International Journal of Remote Sensing, 30(no. 20): 5323-5344.
-
(2009)
International Journal of Remote Sensing
, vol.30
, Issue.20
, pp. 5323-5344
-
-
Ge, Y.1
Bai, H.X.2
Cao, F.3
Li, S.P.4
Feng, X.F.5
Li, D.Y.6
-
13
-
-
0027580356
-
Very simple classification rules perform well on most commonly used datasets
-
Holte, R.C. 1993. Very simple classification rules perform well on most commonly used datasets. Machine Learning, 11(no.1): 63-90.
-
(1993)
Machine Learning
, vol.11
, Issue.1
, pp. 63-90
-
-
Holte, R.C.1
-
16
-
-
34047163965
-
Comparative assessment of the measures of thematic classification accuracy
-
Liu, C., Frazier, P. and Kumar, L. 2007. Comparative assessment of the measures of thematic classification accuracy. Remote Sensing of Environment, 107(no. 4): 606-616.
-
(2007)
Remote Sensing of Environment
, vol.107
, Issue.4
, pp. 606-616
-
-
Liu, C.1
Frazier, P.2
Kumar, L.3
-
17
-
-
13244265212
-
-
Enschede, The Netherlands, Enschede, Dissertation (PhD). International Institute for Geo-information Science and Earth Observation
-
Lucieer, A. 2004. Uncertainties in segmentation and their visualization Enschede, The Netherlands Dissertation (PhD). International Institute for Geo-information Science and Earth Observation http://parbat.lucieer.net/
-
(2004)
Uncertainties in segmentation and their visualization
-
-
Lucieer, A.1
-
18
-
-
0000503696
-
Remote sensing contributions to the scale issue
-
Marceau, D.J. and Hay, G.J. 1999. Remote sensing contributions to the scale issue. Canadian Journal of Remote Sensing, 25(no. 4): 357-366.
-
(1999)
Canadian Journal of Remote Sensing
, vol.25
, Issue.4
, pp. 357-366
-
-
Marceau, D.J.1
Hay, G.J.2
-
21
-
-
80052431121
-
-
PCI Inc, PCI Enterprises, Canada, PCI Enterprises
-
PCI Inc. 2003. PCI Online Help, Version 9.0 PCI Enterprises, Canada
-
(2003)
PCI Online Help, Version 9.0
-
-
-
23
-
-
0037087739
-
The ecology of scale
-
Rietkerk, M., van de Koppel, J., Kumar, L., van, Langevelde, F. and Prins, H.H.T. 2002. The ecology of scale. Ecological Modelling, 149(no. 1): 1-4.
-
(2002)
Ecological Modelling
, vol.149
, Issue.1
, pp. 1-4
-
-
Rietkerk, M.1
van de Koppel, J.2
Kumar, L.3
van Langevelde, F.4
Prins, H.H.T.5
-
24
-
-
0034983236
-
Statistical rigor and practical utility in thematic map accuracy assessment
-
Stehman, S.V. 2001. Statistical rigor and practical utility in thematic map accuracy assessment. Photogrammetric Engineering and Remote Sensing, 67(no. 6): 727-734.
-
(2001)
Photogrammetric Engineering and Remote Sensing
, vol.67
, Issue.6
, pp. 727-734
-
-
Stehman, S.V.1
-
25
-
-
70249106481
-
Sampling designs for accuracy assessment of land cover
-
Stehman, S.V. 2009. Sampling designs for accuracy assessment of land cover. International Journal of Remote Sensing, 30(no. 20): 5243-5272.
-
(2009)
International Journal of Remote Sensing
, vol.30
, Issue.20
, pp. 5243-5272
-
-
Stehman, S.V.1
-
26
-
-
1542326270
-
-
Changsha, Changsha, The Defence University of Science and Technology Publishing House, (in Chinese)
-
Sun, J.X. 2003. Modem Pattern Recognition, Changsha: The Defence University of Science and Technology Publishing House. (in Chinese)
-
(2003)
Modem Pattern Recognition
-
-
Sun, J.X.1
-
29
-
-
77958040435
-
-
Beijing, Beijing, Science Press, (in Chinese)
-
Wang, J.F., Jiang, C.S., Li, L.F. and Hu, M.G. 2009. Spatial Sampling and Inference, Beijing: Science Press. (in Chinese)
-
(2009)
Spatial Sampling and Inference
-
-
Wang, J.F.1
Jiang, C.S.2
Li, L.F.3
Hu, M.G.4
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