References
83
References
Arora MK, Foody GM (1997) Log-linear modeling for the evaluation of the variables affecting
the accuracy of probabilistic, fuzzy and neural network classifications. International
Journal of Remote Sensing 18(4): 785-798
Arora MK, Ghosh SK (1998) A comparative evaluation of accuracy measures for the classification of remotely sensed data. Asian Pacific Remote Sensing and GIS Journal 10(2): 1-9
Arora MK, Mathur S (2001) Multi-source image classification using neural network in
a rugged terrain. Geo Carto International 16(3): 37-44
Bastin LPF, Fisher P, Wood J (2002) Visualizing uncertainty in multi-spectral remotely
sensed imagery. Computers and Geosciences 28: 337-350
Bernard AC, Kanellopoulos I, Wilkinson GG (1995) Neural network classification of mixtures. Proceedings of the International Workshop on Soft Computing in Remote Sensing
Data Analysis, Milan, Italy, pp 53-58
Bezdek JC, Ehrlich R, Full W (1984) FCM: the fuzzy c-means clustering algorithm. Computers and Geosciences 10: 191-203
Binaghi E, Brivio PA, Ghezzi P, Rampini A (1999) A fuzzy set-based accuracy assessment of
soft classification. Pattern Recognition Letters 20: 935-948
Bretschneider T, Kao 0 (1999) Image fusion in remote sensing, Report, Technical University
of Clausthal
Brodley CE, Friedl MA, Strahler AH (1996) New approaches to classification in remote
sensing using homogeneous and hybrid decision trees to map land cover. Proceedings
of the IEEE International Geoscience and Remote Sensing Symposium 1, pp 532-534
Brown, LG (1992) A survey of image registration techniques. ACM Computing Surveys 24:
325-376
Bruzzone L, Conese C, Maselli F, Roli F (1997) Multi-source classification of complex rural
areas by statistical and neural-network approaches. Photogrammetric Engineering and
Remote Sensing 63(5): 523-533
Campbell, JB (2002) Introduction to remote sensing. Guilford Press, New York
Chi Z (1995) MLP classifiers: overtraining and solutions. Proceedings of the IEEE International Conference on Neural Networks 5, pp 2821-2824
Cipollini P, Corsini G, Diani M, Grasso R (2001) Retrieval of sea water optically active
parameters from hyperspectral data by means of generalized radial basis function neural
networks. IEEE Transactions on Geoscience and Remote Sensing 39(7): 1508-1524
Cohen J (1968) Weighted kappa: nominal scale agreement with provision for scaled disagreement or partial credit. Psychological Bulletin 70: 213-220
Congalton RG (1991) A review of assessing the accuracy of classifications of remotely sensed
data. Remote Sensing of the Environment 37: 35-46
Dai X, Khorram S (1999) A feature-based image registration algorithm using improved
chain-code representation combined with invariant moments. IEEE Transactions on
Geoscience and Remote Sensing 37: 2351-2362
Folk M, McGrath RE, Yeager N (1999) HDF: an update and future directions. Proceedings
of the IEEE International Geoscience and Remote Sensing Symposium 1, pp 273-275
Foody GM (1992) A fuzzy sets approach to the representation of vegetation continua from
remotely sensed data: an example from lowland heath. Photogrammetric Engineering
and Remote Sensing 58: 221-225
Foody GM (1995a) Cross-entropy for the evaluation of the accuracy of a fuzzy land cover
classification with fuzzy ground data. ISPRS Journal of Photogrammetry and Remote
Sensing 50: 2-12
83
References
Arora MK, Foody GM (1997) Log-linear modeling for the evaluation of the variables affecting
the accuracy of probabilistic, fuzzy and neural network classifications. International
Journal of Remote Sensing 18(4): 785-798
Arora MK, Ghosh SK (1998) A comparative evaluation of accuracy measures for the classification of remotely sensed data. Asian Pacific Remote Sensing and GIS Journal 10(2): 1-9
Arora MK, Mathur S (2001) Multi-source image classification using neural network in
a rugged terrain. Geo Carto International 16(3): 37-44
Bastin LPF, Fisher P, Wood J (2002) Visualizing uncertainty in multi-spectral remotely
sensed imagery. Computers and Geosciences 28: 337-350
Bernard AC, Kanellopoulos I, Wilkinson GG (1995) Neural network classification of mixtures. Proceedings of the International Workshop on Soft Computing in Remote Sensing
Data Analysis, Milan, Italy, pp 53-58
Bezdek JC, Ehrlich R, Full W (1984) FCM: the fuzzy c-means clustering algorithm. Computers and Geosciences 10: 191-203
Binaghi E, Brivio PA, Ghezzi P, Rampini A (1999) A fuzzy set-based accuracy assessment of
soft classification. Pattern Recognition Letters 20: 935-948
Bretschneider T, Kao 0 (1999) Image fusion in remote sensing, Report, Technical University
of Clausthal
Brodley CE, Friedl MA, Strahler AH (1996) New approaches to classification in remote
sensing using homogeneous and hybrid decision trees to map land cover. Proceedings
of the IEEE International Geoscience and Remote Sensing Symposium 1, pp 532-534
Brown, LG (1992) A survey of image registration techniques. ACM Computing Surveys 24:
325-376
Bruzzone L, Conese C, Maselli F, Roli F (1997) Multi-source classification of complex rural
areas by statistical and neural-network approaches. Photogrammetric Engineering and
Remote Sensing 63(5): 523-533
Campbell, JB (2002) Introduction to remote sensing. Guilford Press, New York
Chi Z (1995) MLP classifiers: overtraining and solutions. Proceedings of the IEEE International Conference on Neural Networks 5, pp 2821-2824
Cipollini P, Corsini G, Diani M, Grasso R (2001) Retrieval of sea water optically active
parameters from hyperspectral data by means of generalized radial basis function neural
networks. IEEE Transactions on Geoscience and Remote Sensing 39(7): 1508-1524
Cohen J (1968) Weighted kappa: nominal scale agreement with provision for scaled disagreement or partial credit. Psychological Bulletin 70: 213-220
Congalton RG (1991) A review of assessing the accuracy of classifications of remotely sensed
data. Remote Sensing of the Environment 37: 35-46
Dai X, Khorram S (1999) A feature-based image registration algorithm using improved
chain-code representation combined with invariant moments. IEEE Transactions on
Geoscience and Remote Sensing 37: 2351-2362
Folk M, McGrath RE, Yeager N (1999) HDF: an update and future directions. Proceedings
of the IEEE International Geoscience and Remote Sensing Symposium 1, pp 273-275
Foody GM (1992) A fuzzy sets approach to the representation of vegetation continua from
remotely sensed data: an example from lowland heath. Photogrammetric Engineering
and Remote Sensing 58: 221-225
Foody GM (1995a) Cross-entropy for the evaluation of the accuracy of a fuzzy land cover
classification with fuzzy ground data. ISPRS Journal of Photogrammetry and Remote
Sensing 50: 2-12