-
1
-
-
0031106423
-
Log-linear modelling for the evaluation of the variables affecting the accuracy of probabilistic, fuzzy and neural network classifications
-
Arora, M. K. and Foody, G. M. (1997) Log-linear modelling for the evaluation of the variables affecting the accuracy of probabilistic, fuzzy and neural network classifications. International Journal of Remote Sensing, 18, pp. 785-798.
-
(1997)
International Journal of Remote Sensing
, vol.18
, pp. 785-798
-
-
Arora, M.K.1
Foody, G.M.2
-
2
-
-
0037191113
-
A flexible classification approach with optimal generalisation performance: Support vector machines
-
Belousov, A. I., Verzakov, S. A. and von Frese, J. (2002) A flexible classification approach with optimal generalisation performance: Support vector machines. Chermometrics and Intelligent Laboratory Systems, 64, pp. 15-25.
-
(2002)
Chermometrics and Intelligent Laboratory Systems
, vol.64
, pp. 15-25
-
-
Belousov, A.I.1
Verzakov, S.A.2
von Frese, J.3
-
3
-
-
0024855651
-
Semi-automated training field extraction and analysis for efficient digital image classification
-
Buchheim, M. P. and Lillesand, T. M. (1989) Semi-automated training field extraction and analysis for efficient digital image classification. Photogrammetric Engineering and Remote Sensing, 55, pp. 1347-1355.
-
(1989)
Photogrammetric Engineering and Remote Sensing
, vol.55
, pp. 1347-1355
-
-
Buchheim, M.P.1
Lillesand, T.M.2
-
5
-
-
0036827545
-
The effect of training strategies on supervised classification at different spatial resolutions
-
Chen, D. M. and Stow, D. (2002) The effect of training strategies on supervised classification at different spatial resolutions. Photogrammetric Engineering and Remote Sensing, 68, pp. 1155-1161.
-
(2002)
Photogrammetric Engineering and Remote Sensing
, vol.68
, pp. 1155-1161
-
-
Chen, D.M.1
Stow, D.2
-
6
-
-
0026278621
-
A review of assessing the accuracy of classifications of remotely sensed data
-
Congalton, R. G. (1991) A review of assessing the accuracy of classifications of remotely sensed data. Remote Sensing of Environment, 37, pp. 35-46.
-
(1991)
Remote Sensing of Environment
, vol.37
, pp. 35-46
-
-
Congalton, R.G.1
-
7
-
-
0020642209
-
A quantitative method to test for consistency and correctness in photointerpretation
-
Congalton, R. G. and Mead, R. A. (1983) A quantitative method to test for consistency and correctness in photointerpretation. Photogrammetric Engineering and Remote Sensing, 49, pp. 69-74.
-
(1983)
Photogrammetric Engineering and Remote Sensing
, vol.49
, pp. 69-74
-
-
Congalton, R.G.1
Mead, R.A.2
-
8
-
-
0019173526
-
Multispectral remote sensing of vegetation amount
-
Curran, P. (1980) Multispectral remote sensing of vegetation amount. Progress in Physical Geography, 4, pp. 315-341.
-
(1980)
Progress in Physical Geography
, vol.4
, pp. 315-341
-
-
Curran, P.1
-
9
-
-
0033372875
-
The significance of border training patterns in classification by a feedforward neural network using back propagation learning
-
Foody, G. M. (1999) The significance of border training patterns in classification by a feedforward neural network using back propagation learning. International Journal of Remote Sensing, 20, pp. 3549-3562.
-
(1999)
International Journal of Remote Sensing
, vol.20
, pp. 3549-3562
-
-
Foody, G.M.1
-
10
-
-
0036213079
-
Status of land cover classification accuracy assessment
-
Foody, G. M. (2002) Status of land cover classification accuracy assessment. Remote Sensing of Environment, 80, pp. 185-201.
-
(2002)
Remote Sensing of Environment
, vol.80
, pp. 185-201
-
-
Foody, G.M.1
-
11
-
-
3042661357
-
Thematic map comparison: Evaluating the statistical significance of differences in classification accuracy
-
Foody, G. M. (2004) Thematic map comparison: Evaluating the statistical significance of differences in classification accuracy. Photogrammetric Engineering and Remote Sensing, 70, pp. 627-633.
-
(2004)
Photogrammetric Engineering and Remote Sensing
, vol.70
, pp. 627-633
-
-
Foody, G.M.1
-
13
-
-
0031105722
-
An evaluation of some factors affecting the accuracy of classification by an artificial neural network
-
Foody, G. M. and Arora, M. K. (1997) An evaluation of some factors affecting the accuracy of classification by an artificial neural network. International Journal of Remote Sensing, 18, pp. 799-810.
-
(1997)
International Journal of Remote Sensing
, vol.18
, pp. 799-810
-
-
Foody, G.M.1
Arora, M.K.2
-
14
-
-
3042654673
-
A relative evaluation of multiclass image classification by support vector machine
-
Foody, G. M. and Mathur, A. (2004) A relative evaluation of multiclass image classification by support vector machine. IEEE Transactions Geoscience Remote Sensing, 42, pp. 1335-1343.
-
(2004)
IEEE Transactions Geoscience Remote Sensing
, vol.42
, pp. 1335-1343
-
-
Foody, G.M.1
Mathur, A.2
-
15
-
-
4544272407
-
Toward intelligent training of supervised image classifiactions: Directing training data acquisition for SVM classification
-
Foody, G. M. and Mathur, A. (2004) Toward intelligent training of supervised image classifiactions: Directing training data acquisition for SVM classification. Remote Sensing of Environment, 93, pp. 107-117.
-
(2004)
Remote Sensing of Environment
, vol.93
, pp. 107-117
-
-
Foody, G.M.1
Mathur, A.2
-
16
-
-
33747610735
-
Training set size requirements for the classification of a specific class
-
Foody, G. M., Mathur, A., Sanchez-Hernandez, C. and Boyd, D. S. (2006) Training set size requirements for the classification of a specific class. Remote Sensing of Environment, 104, pp. 1-14.
-
(2006)
Remote Sensing of Environment
, vol.104
, pp. 1-14
-
-
Foody, G.M.1
Mathur, A.2
Sanchez-Hernandez, C.3
Boyd, D.S.4
-
17
-
-
0029473455
-
The effect of training set size and composition on artificial neural network classification
-
Foody, G. M., McCulloch, M. B. and Yates, W. B. (1995) The effect of training set size and composition on artificial neural network classification. International Journal of Remote Sensing, 16, pp. 1707-1723.
-
(1995)
International Journal of Remote Sensing
, vol.16
, pp. 1707-1723
-
-
Foody, G.M.1
McCulloch, M.B.2
Yates, W.B.3
-
18
-
-
0032636659
-
Support vector machines for hyperspectral remote sensing classification
-
Gualtieri, J. A. and Cromp, R. F. (1998) Support vector machines for hyperspectral remote sensing classification. Proceedings SPIE, 3584, pp. 221-232.
-
(1998)
Proceedings SPIE
, vol.3584
, pp. 221-232
-
-
Gualtieri, J.A.1
Cromp, R.F.2
-
19
-
-
0019229727
-
Evaluation of several schemes for classification of remotely sensed data
-
Hixson, M., Scholz, D. and Fuhs, N. (1980) Evaluation of several schemes for classification of remotely sensed data. Photogrammetric Engineering and Remote Sensing, 46, pp. 1547-1553.
-
(1980)
Photogrammetric Engineering and Remote Sensing
, vol.46
, pp. 1547-1553
-
-
Hixson, M.1
Scholz, D.2
Fuhs, N.3
-
20
-
-
0028259890
-
Decision combination in multiple classification systems
-
Ho, K. T., Hull, J. J. and Srihari, S. N. (1994) Decision combination in multiple classification systems. IEEE Transactions on Pattern Analysis and Machine Analysis, 16, pp. 66-75.
-
(1994)
IEEE Transactions on Pattern Analysis and Machine Analysis
, vol.16
, pp. 66-75
-
-
Ho, K.T.1
Hull, J.J.2
Srihari, S.N.3
-
21
-
-
0036505670
-
A comparison of methods for multiclass support vector machines
-
Hsu, C. W. and Lin, C. J. (2002) A comparison of methods for multiclass support vector machines. IEEE Transactions on Neural Networks, 13, pp. 415-425.
-
(2002)
IEEE Transactions on Neural Networks
, vol.13
, pp. 415-425
-
-
Hsu, C.W.1
Lin, C.J.2
-
22
-
-
0037138473
-
An assessment of support vector machines for land cover classification
-
Huang, C., Davis, L. S. and Townshend, J. R. G. (2002) An assessment of support vector machines for land cover classification. International Journal of Remote Sensing, 23, pp. 725-749.
-
(2002)
International Journal of Remote Sensing
, vol.23
, pp. 725-749
-
-
Huang, C.1
Davis, L.S.2
Townshend, J.R.G.3
-
23
-
-
0035694667
-
An adaptive classifier design for high-dimensional data analysis with a limited training data set
-
Jackson, Q. and Landgrebe, D. A. (2001) An adaptive classifier design for high-dimensional data analysis with a limited training data set. IEEE Transactions on Geoscience and Remote Sensing, 39, pp. 2664-2679.
-
(2001)
IEEE Transactions on Geoscience and Remote Sensing
, vol.39
, pp. 2664-2679
-
-
Jackson, Q.1
Landgrebe, D.A.2
-
25
-
-
41549104015
-
Land cover classification: Refining training requirements for support vector machine classification using remotely sensed data
-
Mathur, A. (2005) Land cover classification: Refining training requirements for support vector machine classification using remotely sensed data,.
-
(2005)
-
-
Mathur, A.1
-
26
-
-
4344614511
-
Classification of hyperspectral remote sensing images with support vector machines
-
Melgani, F. and Bruzzone, L. (2004) Classification of hyperspectral remote sensing images with support vector machines. IEEE Transactions Geoscience Remote Sensing, 42, pp. 1778-1790.
-
(2004)
IEEE Transactions Geoscience Remote Sensing
, vol.42
, pp. 1778-1790
-
-
Melgani, F.1
Bruzzone, L.2
-
27
-
-
30044438683
-
Combined SVM-based feature selection and classification
-
Neumann, J., Schnorr, C. and Steidl, G. (2005) Combined SVM-based feature selection and classification. Machine Learning, 61, pp. 129-150.
-
(2005)
Machine Learning
, vol.61
, pp. 129-150
-
-
Neumann, J.1
Schnorr, C.2
Steidl, G.3
-
28
-
-
0141569007
-
An assessment of the effectiveness of decision tree methods for land cover classification
-
Pal, M. and Mather, P. M. (2003) An assessment of the effectiveness of decision tree methods for land cover classification. Remote Sensing of Environment, 86, pp. 554-565.
-
(2003)
Remote Sensing of Environment
, vol.86
, pp. 554-565
-
-
Pal, M.1
Mather, P.M.2
-
29
-
-
4444230479
-
Assessment of the effectiveness of support vector machines for hyperspectral data
-
Pal, M. and Mather, P. M. (2004) Assessment of the effectiveness of support vector machines for hyperspectral data. Future Generation Computer Systems, 20, pp. 1215-1225.
-
(2004)
Future Generation Computer Systems
, vol.20
, pp. 1215-1225
-
-
Pal, M.1
Mather, P.M.2
-
31
-
-
0002702567
-
Classification algorithms - Where next?
-
World Scientific, Singapore
-
Wilkinson, G. G. (1996) Classification algorithms - where next?. Soft Computing in Remote Sensing Data Analysis, pp. 93-99. World Scientific, Singapore
-
(1996)
Soft Computing in Remote Sensing Data Analysis
, pp. 93-99
-
-
Wilkinson, G.G.1
-
32
-
-
41549116651
-
Cotton acreage estimation in Hissar and Sirsa districts of Haryana using IRS LISS-I digital data
-
P.L. Printers, Ludhiana, India
-
Yadav, M., Hooda, R. S., Kumar, K. E. Mothi, Ruhal, D. S., Khera, A. P., Sigh, C. P., Hooda, I. S., Verma, U., Dutta, S. and Kalubarme, M. H. (1995) Cotton acreage estimation in Hissar and Sirsa districts of Haryana using IRS LISS-I digital data. Proceedings of the National Symposium on Remote Sensing of Environment with Special Emphasis on Green Revolution, pp. 30-34. P.L. Printers, Ludhiana, India
-
(1995)
Proceedings of the National Symposium on Remote Sensing of Environment With Special Emphasis on Green Revolution
, pp. 30-34
-
-
Yadav, M.1
Hooda, R.S.2
Kumar, K.E.3
Mothi Ruhal, D.S.4
Khera, A.P.5
Sigh, C.P.6
Hooda, I.S.7
Verma, U.8
Dutta, S.9
Kalubarme, M.H.10
-
33
-
-
0028602888
-
Optimization of training data required for neuro-classification
-
Zhuang, X., Engel, B. A., Lonzanogarcia, D. F., Fernandez, R. N. and Johannsen, C. J. (1994) Optimization of training data required for neuro-classification. International Journal of Remote Sensing, 15, pp. 3271-3277.
-
(1994)
International Journal of Remote Sensing
, vol.15
, pp. 3271-3277
-
-
Zhuang, X.1
Engel, B.A.2
Lonzanogarcia, D.F.3
Fernandez, R.N.4
Johannsen, C.J.5
|