- ARDO , J. , PILESIO , P. and SKIDMORE , A. K. 1997 . Neural network, multitemporal Landsat Thematic Mapper data and topographic data to classify forest damages in the Czech Republic . Canadian Journal of Remote Sensing , 23 : 217 – 229 .
- BENEDIKTSSON , J. A. , SWAIN , P. H. , ERSOY , O. K. and HONG , D. Classification of very high dimensional data using neural networks . Proceedings of the International Geoscience and Remote Sensing Symposium IGARSS'90 . 20-24 May . pp. 1269 – 1272 . Maryland, , USA : University of Maryland College Park . 1990 New York Institute of Electrical and Electronics Engineers
- BISCHOF , H. , SCHNEIDER , W. and PINZ , A. J. 1992 . Multispectral classification of Landsat-images using neural networks . IEEE Transactions on Geosceience and Remote Sensing , 30 : 482 – 490 .
- CHEN , K. S. , TZENG , Y. C. , CHEN , C. F. , KAO , W. L. and NI , C. L. Classification of multispectral imagery using dynamic learning neural network . Proceedings of the International Geoscience and Remote Sensing Symposium IGARSS'93 . 18-21 August . pp. 896 – 898 . Tokyo, , Japan : Kogakuin University . 1993 Piscataway NJ Institute of Electrical and Electronics Engineers
- COHEN , J. 1960 . A coefficient of agreement for nominal scales . Educational and Psychological Measurement , XX (1) : 37 – 46 .
- CONGALTON , R. G. , ODERWALD , R. G. and MEAD , R. A. 1983 . Assessing Landsat classification accuracy using discrete multivariate analysis statistical techniques . Photogrammetric Engineering & Remote Sensing , 49 : 1671 – 1678 .
- DOWNEY , I. D. , POWER , C. H. , KANELLOPOULOS , I. and WILKINSON , G. G. A performance comparison of Landsat TM land cover classification based on neural network techniques and traditional maximum likelihood algorithms and minimum distance algorithms . Proceedings of the 18th Annual Conference of the UK Remote Sensing Society . September 15-17 1992 , Dundee, Scotland. pp. 518 – 528 .
- ERDAS . 1991 . Erdas Imagine field guide: Part 1, 2, 3: Erdas Imagine version 8.2 for Windows NT and Windows 95. , 3rd edn Atlanta
- FIERENS , F. , KANELLOPOULOS , I. , WILKINSON , G. G. and MEGIER , J. Comparison and visualisation of feature space behaviour of statistical and neural classifiers of satellite imagery . Proceedings of the International Geoscience and Remote Sensing Symposium IGARSS'94 . August 8-12 1994 , Pasadena, California, USA. pp. 1880 – 1882 . Piscataway, NJ : Institute of Electrical and Electronics Engineers .
- FOODY , G. M. 1992 . On the compensation for chance agreement in image classification accuracy assessment . Photogrammetric Engineering & Remote Sensing , 58 : 1459 – 1460 .
- GONG , P. , Pu , R. and Yu , B. 1997 . Conifer species recognition: an exploratory analysis of in situ hyperspectral data . Remote Sensing of Environment , 62 : 189 – 200 .
- HEPNER , G. F. , LOGAN , T. , RITTER , N. and BRYANT , N. 1990 . Artificial neural network classification using a minimal training set: comparison to conventional supervised classification . Photogrammetric Engineering and Remote Sensing , 56 : 469 – 473 .
- HEERMANN , P. D. and KHAZENIE , N. Application of neural networks for classification of multi-source multi-spectral remote sensing data . Proceedings of the International Geoscience and Remote Sensing Symposium IGARSS'90 . 20-24 May . pp. 1273 – 1276 . Maryland, , USA : the University of Maryland College Park . 1990 (New York Institute of Electrical and Electronics Engineers
- KANELLOPOULOS , I. , VARFIS , A. , WILKINSON , G. G. and MEGIER , J. 1992 . Land-cover discrimination in SPOT HRV imagery using an artificial neural network-a 20-class experiment . International Journal of Remote Sensing , 13 : 917 – 924 .
- KEY , J. , MASLANIK , J. A. and SCHWEIGER , A. J. Neural network vs. maximum likelihood classifications of spectral and textural features in visible, thermal, and passive microwave data . Proceedings of the International Geoscience and Remote Sensing Symposium IGARSS'90 . 20-24 May . pp. 1277 – 1280 . Maryland, , USA : the University of Maryland. College Park . 1990 (New YorkInstitute of Electrical and Electronics Engineers
- PAOLA , J. D. and SCHOWENGERDT , R. A. Comparisons of neural networks to standard techniques for image classification and correlation . Proceedings of the International Geoscience and Remote Sensing Symposium IGARSS'94 . August 8-12 1994 , Pasadena, California, USA. pp. 1404 – 1406 . Piscataway, NJ : Institute of Electrical and Electronics Engineers .
- PAOLA , J. D. and SCHOWENGERDT , R. A. 1995 . A review and analysis of backpropagation neural networks for classification of remotely-sensed multi-spectral imagery . International Journal of Remote Sensing , 16 : 3033 – 3058 .
- RICHARDS , J. A. 1993 . Remote Sensing Digital Image Analysis--an Introduction. , 2nd edn , New York : Springer-Verlag .
- SKIDMORE , A. K. , FORBES , G. W. and CARPENTER , D. J. 1988 . Non-parametric test of overlap in multispectral classification . International Journal of Remote Sensing , 9 : 777 – 785 .
- SKIDMORE , A. K. , TURNER , B. J. , BRINKHOF , W. and KNOWLES , E. 1997 . Performance of a neural network: mapping forests using GIS and remotely sensed data . Photogrammetric Engineering & Remote Sensing , 63 : 501 – 514 .
- SOLAIMAN , B. and MOUCHOT , M. C. A comparative study of conventional and neural network classification of multispectral data . Proceedings of the International Geoscience and Remote Sensing Symposium IGARSS'94 . August 8-12 1994 , Pasadena, California, USA. pp. 1413 – 1415 . Piscataway, NJ : Institute of Electrical and Electronics Engineers .
- WEEKS , P. J. D. and GASTON , K. J. 1997 . Image analysis, neural networks and the taxonomic impediment to biodiversity studies . Biodiversity and Conservation , 6 : 263 – 274 .
- ZHUANG , X. , ENGEL , B. A. , LOZANO-GARCIA , D. F. , FERNANDEZ , R. N. and JOHANNSEN , C. J. 1994 . Optimisation of training data required for neuro-classification . International Journal of Remote Sensing , 15 : 3271 – 3277 .
International Journal of Remote Sensing
Volume 24, 2003 - Issue 4