Assessing the classification accuracy of multisource remote sensing data
暂无分享,去创建一个
[1] George F. Hepner,et al. Application of an artificial neural network to landcover classification of thematic mapper imagery , 1990 .
[2] Scott E. Decatur,et al. Application of neural networks to terrain classification , 1989, International 1989 Joint Conference on Neural Networks.
[3] J. R. Landis,et al. The measurement of observer agreement for categorical data. , 1977, Biometrics.
[4] P. Swain,et al. Neural Network Approaches Versus Statistical Methods In Classification Of Multisource Remote Sensing Data , 1990 .
[5] Brian G. Lees,et al. Decision-tree and rule-induction approach to integration of remotely sensed and GIS data in mapping vegetation in disturbed or hilly environments , 1991 .
[6] J. Fleiss. Statistical methods for rates and proportions , 1974 .
[7] Xiaomei Xu,et al. Applying neural net technology for multi-objective land use planning , 1991 .
[8] George F. Hepner,et al. Artificial neural network classification using a minimal training set - Comparison to conventional supervised classification , 1990 .
[9] S. Davey,et al. The environmental relationships of arboreal marsupials in a eucalypt forest : a basis for Australian forest wildlife management , 1989 .
[10] Russell G. Congalton,et al. A review of assessing the accuracy of classifications of remotely sensed data , 1991 .
[11] P. D. Heermann,et al. Application Of Neural Networks For Classification Of Multi-source Multi-spectral Remote Sensing Data , 1990, 10th Annual International Symposium on Geoscience and Remote Sensing.