Unsupervised Fuzzy ARTMAP Classification of Hyperspectral Hyperion Data for Savanna and Agriculture Discrimination in the Brazilian Cerrado

References

• Abuelgasim, A., Ross, W., Gopal, S., and C. Woodcock, 1999, "Change Detection Using Adaptive Fuzzy Neural Networks: Environmental Damage Assessment After the Gulf War," Remote Sensing of Environment , 70(2):208-223.
   Google Scholar
• Amici, G., Dell'Acqua, F., Gamba, P., and G. Pulina, 2004, "A Comparison of Fuzzy and Neuro-Fuzzy Data Fusion for Flooded Area Mapping Using SAR Images," International Journal of Remote Sensing , 25(20):4425-4430.
   Google Scholar
• Baraldi, A., Binaghi, E., Blonda, P., Brivio, P. A., and A. Rampini, 2001, "Comparison of the Multilayer Perceptron with Neuro-Fuzzy Techniques in the Estimation of Cover Class Mixture in Remotely Sensed Data," IEEE Transactions on Geoscience and Remote Sensing , 39(5):994-1005.
   Google Scholar
• Berk, A., Bernstein, L. S., Anderson, G. P., Acharya, P. K., Robertson, D. C., Chetwynd, J. H., and S. M. Adler-Golden, 1998, "MODTRAN Cloud and Multiple Scattering Upgrades with Application to AVIRIS," Remote Sensing of Environment , 65(3):367-375.
   Google Scholar
• Borak, J. S. and A. H. Strahler, 1999, "Feature Selection and Land Cover Classification of a MODIS-like Data Set for a Semiarid Environment," International Journal of Remote Sensing , 20(5):919-938.
   Google Scholar
• Brannstrom, C. and A. M. Filippi, 2008, "Remote Classification of Cerrado (Savanna) and Agricultural Land Covers in Northeastern Brazil," Geocarto International , 23(2):109-134.
   Google Scholar
• Brannstrom, C., Jepson, W., Filippi, A. M., Redo, D., Xu, Z. W., and S. Ganesh, 2008, "Land Change in the Brazilian Savanna (Cerrado), 1986-2002: Comparative Analysis and Implications for Land-Use Policy," Land Use Policy , 25(4):579-595.
   Google Scholar
• Carpenter, G. A., Gjaja, M. N., Gopal, S., and C. E. Woodcock, 1997, "ART Neural Networks for Remote Sensing: Vegetation Classification from Landsat TM and Terrain Data," IEEE Transactions on Geoscience and Remote Sensing , 35(2):308-325.
   Google Scholar
• Carpenter, G. A., Gopal, S., Macomber, S., Martens, S., and C. E. Woodcock, 1999, "A Neural Network Method for Mixture Estimation for Vegetation Mapping," Remote Sensing of Environment , 70:138-152.
   Google Scholar
• Carpenter, G. A., Grossberg, S., Markuzon, N., Reynolds, J. H., and D. B. Rosen, 1992, "Fuzzy ARTMAP: A Neural Network Architecture for Incremental Supervised Learning of Analog Multidimensional Maps," IEEE Transactions on Neural Networks , 3(5):698-713.
   Google Scholar
• Chiarella, M., Fay, D. A., Ivey, R. T., Bomberger, N. A., and A. M. Waxman, 2004, "Multisensor Image Fusion, Mining, and Reasoning: Rule Sets for Higher-Level AFE in a COTS Environment," in Proceedings of the 7th International Conference on Information Fusion , Svensson, P. and J. Schubert (Eds.), Stockholm, Sweden, 28 June-1 July 2004, 983-990.
   Google Scholar
• Clarke, K. R., 1993, "Non-Parametric Multivariate Analyses of Changes in Community Structure," Australian Journal of Ecology , 18:117-143.
   Google Scholar
• Corne, S. A., Carver, S. J., Kunin, W. E., Lennon, J. J., and W. W. S. van Hees, 2004, "Predicting Forest Attributes in Southeast Alaska Using Artificial Neural Networks," Forest Science , 50(2):259-276.
   Google Scholar
• Coutinho, L. M., 1978, "O Conceito do Cerrado," Revista Brasileira de Botânica , 1:17-23.
   Google Scholar
• Dell'Acqua, F., and P. Gamba, 2003, "Using Image Magnification Techniques to Improve Classification of Hyperspectral Data," in 2003 IEEE International Geoscience and Remote Sensing Symposium Proceedings (IGARSS 2003), 21-25 July 2003, 2:737-739.
   Google Scholar
• Dell'Acqua, F., Gamba, P., Ferrari, A., Palmason, J. A., Benediktsson, J. A., and K. Arnason, 2004, "Exploiting Spectral and Spatial Information in Hyperspectral Urban Data with High Resolution," IEEE Geoscience and Remote Sensing Letters , 1(4):322-326.
   Google Scholar
• Dutra, L. V. and R. Huber, 1999, "Feature Extraction and Selection for ERS-1/2 InSAR Classification," International Journal of Remote Sensing , 20(5):993-1016.
   Google Scholar
• Ferreira, L. G. and A. R. Huete, 2004, "Assessing the Seasonal Dynamics of the Brazilian Cerrado Vegetation Through the Use of Spectral Vegetation Indices," International Journal of Remote Sensing , 25(10):1837-1860.
   Google Scholar
• Ferreira, L. G., Yoshioka, H., Huete, A., and E. E. Sano, 2003, "Seasonal Landscape and Spectral Vegetation Index Dynamics in the Brazilian Cerrado: An Analysis within the Large-Scale Biosphere-Atmosphere Experiment in Amazônia (LBA)," Remote Sensing of Environment , 87:534-550.
   Google Scholar
• Ferreira, L. G., Yoshioka, H., Huete, A. and E. E. Sano, 2004, "Optical Characterization of the Brazilian Savanna Physiognomies for Improved Land Cover Monitoring of the Cerrado Biome: Preliminary Assessments from an Airborne Campaign over an LBA Core Site," Journal of Arid Environments , 56(3):425-447.
   Google Scholar
• Ferreira, M. E., Ferreira, L. G., Sano, E. E., and Y. E. Shimabukuro, 2007, "Spectral Linear Mixture Modeling Approaches for Land Cover Mapping of Tropical Savanna Areas in Brazil," International Journal of Remote Sensing , 28(2):413-429.
   Google Scholar
• Filippi, A. M., Brannstrom, C., Cairns, D. M., and D. Kim, 2007, "Hyperion and CBERS Satellite Image Classification Intercomparison for Cerrado and Agricultural Mapping," in Remote Sensing for Environmental Monitoring, GIS Applications, and Geology VII, Proceedings of SPIE , 6749:674913-1-674913-12.
   Google Scholar
• Filippi, A. M. and J. R. Jensen, 2006, "Fuzzy Learning Vector Quantization for Hyperspectral Coastal Vegetation Classification," Remote Sensing of Environment , 100(4):512-530.
   Google Scholar
• Gamba P. and F. Dell' Acqua, 2003, "Increased Accuracy Multiband Urban Classification Using a Neuron-Fuzzy Classifier," International Journal of Remote Sensing , 24(4):827-834.
   Google Scholar
• Georgiopoulos, M., Fernlund, H., Bebis, G., and G. L. Heileman, 1996, "Order of Search in Fuzzy ART and Fuzzy ARTMAP: Effect of the Choice Parameter," Neural Networks , 9(9):1541-1559.
   Google Scholar
• Goodland, R., 1971, "A Physiognomic Analysis of the ‘Cerrado’ Vegetation of Central Brazil," Journal of Ecology , 59:411-419.
   Google Scholar
• Gopal, S., Woodcock, C. E., and A. H. Strahler, 1999, "Fuzzy Neural Network Classification of Global Land Cover from a 1○ AVHRR Data Set," Remote Sensing of Environment , 67(2):230-243.
   Google Scholar
• ImSpec LLC, 2004, ACORN 5.0 User's Manual , Version 040801, 122 p.
   Google Scholar
• Jensen, J. R., 2005, Introductory Digital Processing: A Remote Sensing Perspective , Upper Saddle River, NJ: Prentice Hall, 526 p.
   Google Scholar
• Jepson, W., 2005, "A Disappearing Biome? Reconsidering Land-Cover Change in the Brazilian Savanna," The Geographical Journal , 171:99-111.
   Google Scholar
• Klink, C. A. and R. B. Machado, 2005, "Conservation of the Brazilian Cerrado," Conservation Biology , 19(3):707-713.
   Google Scholar
• Li, Z., 2008, "Fuzzy ARTMAP Based Neurocomputational Spatial Uncertainty Measures," Photogrammetric Engineering & Remote Sensing , 74(12):1573-1584.
   Google Scholar
• Lippitt, C. D., Rogan, J., Li, Z., Eastman, J. R., and T. G. Jones, 2008, "Mapping Selective Logging in Mixed Deciduous Forest: A Comparison of Machine Learning Algorithms," Photogrammetric Engineering & Remote Sensing , 74(10):1201-1211.
   Google Scholar
• Liu, W., Gopal, S., and C. E. Woodcock, 2004b, "Uncertainty and Confidence in Land-Cover Classification Using a Hybrid Classifier Approach," Photogrammetric Engineering & Remote Sensing , 70(8):963-971.
   Google Scholar
• Liu, W., Seto, K. C., Wu, E. Y., Gopal, S. and C. E. Woodcock, 2004a, "ART-MMAP: A Neural Network Approach to Subpixel Classification," IEEE Transactions on Geoscience and Remote Sensing , 42(9):1976-1983.
   Google Scholar
• Liu, W. and E. Y. Wu, 2005, "Comparison of Non-linear Mixture Models: Sub-pixel Classification," Remote Sensing of Environment , 94:145-154.
   Google Scholar
• Machado, R. B., Ramos Neto, M. B., Pereira, P. G. P., Caldas, E. F., Gonçalves, D. A., Santos, N. S., Tabor, K., and M. Steininger, 2004, "Estimativas de perda da área do Cerrado brasileiro," Brazil, DF: Conservação Internacional, unpubl. technical report.
   Google Scholar
• Mannan, B., Roy, J., and A. K. Ray, 1998, "Fuzzy ARTMAP Supervised Classification of Multi-spectral Remotely-Sensed Images," International Journal of Remote Sensing , 19(4):767-774.
   Google Scholar
• Mantovani, J. E. and A. Pereira, 1998, "Estimativa da Integradidade da Cobertura Vegetal do Cerrado/Pantanal Através de Dados TM/Landsat," Anaix IX Simpósio Brasiliero de Sensoriamento Remoto , São José dos Campos, Brasil: Instituto Nacional de Pesquisas Espaciais, 1455-1466.
   Google Scholar
• McCune, B. and J. B. Grace, 2002, Analysis of Ecological Communities , Gleneden Beach, OR: MjM Software Design, 300 p.
   Google Scholar
• Miura, T., Huete, A. R., Ferreira, L. G., and E. E. Sano, 2003, "Discrimination and Biophysical Characterization of Cerrado Physiognomies with EO-1 Hyperspectral Hyperion," in Proceedings of Simpósio Brasileiro de Sensoriamento Remoto , 11, Belo Horizonte, 5-10 April 2003 (São José dos Campos, SP: Brazilian Institute for Space Research, INPE), 1077-1082.
   Google Scholar
• Muchoney, D. and J. Williamson, 2001, "A Gaussian Adaptive Resonance Theory Neural Network Classification Algorithm Applied to Supervised Land Cover Mapping Using Multitemporal Vegetation Index Data," IEEE Transactions on Geoscience and Remote Sensing , 39(9):1969-1977.
   Google Scholar
• Muller, S. V., Walker, D. A., Nelson, F. E., Auerbach, N. A., Bockheim, J. G., Guyer, S., and D. Sherba, 1998, "Accuracy Assessment of a Land-Cover Map of the Kuparuk River Basin, Alaska: Considerations for Remote Regions," Photogrammetric Engineering & Remote Sensing , 64(6):619-628.
   Google Scholar
• Oliveira, P. S. and R. J. Marquis (Eds.), 2002, The Cerrados of Brazil: Ecology and Natural History of a Neotropical Savanna , New York, NY: Columbia University Press, 398 p.
   Google Scholar
• Pax-Lenny, M., Woodcock, C. E., Macomber, S. A., Gopal, S., and C. Song, 2001, "Forest Mapping with a Generalized Classifier and Landsat TM Data," Remote Sensing of Environment , 77:241-250.
   Google Scholar
• Ramsey, E., III, Rangoonwala, A., Nelson, G., Ehrlich, R., and K. Martella, 2005, "Generation and Validation of Characteristic Spectra from EO1 Hyperion Image Data for Detecting the Occurrence of the Invasive Species, Chinese tallow," International Journal of Remote Sensing , 26(8):1611-1636.
   Google Scholar
• Ratter, J. A., Ribeiro, J. F., and S. Bridgewater, 1997, "The Brazilian Cerrado Vegetation and Threats to its Biodiversity," Annals of Botany , 80(3):223-230.
   Google Scholar
• Ribeiro, J. F. and B. M. T. Walter, 1998, "Fitofissionomias do Bioma Cerrado," in Cerrado: Ambiente e Flora , Sano, S. M. and S. P. Almeida (Eds.), Planaltina, Brasil: EMBRAPA, 89-166.
   Google Scholar
• Rogan, J., Franklin, J., Stow, D., Miller, J., Woodcock, C., and D. Roberts, 2008, "Mapping Land-Cover Modifications Over Large Areas: A Comparison of Machine Learning Algorithms," Remote Sensing of Environment , 112:2272-2283.
   Google Scholar
• Rogan, J. and S. R. Yool, 1996, "Mapping Fire-Induced Vegetation Depletion in the Peloncillo Mountains, Arizona and New Mexico," International Journal of Remote Sensing , 22(16):3101-3121.
   Google Scholar
• Roger, R. E., 1996, "Sparse Inverse Covariance Matrices and Efficient Maximum Likelihood Classification of Hyperspectral Data," International Journal of Remote Sensing , 17(3):589-613.
   Google Scholar
• Sano, E. E., Rosa, R., Brito, J. L. S., and L. G. Ferreira, 2008, "Mapeamento Semidetalhado do Uso da Terra do Bioma Cerrado," Pesquisa Agropecuária Brasileira , 43(1):153-156.
   Google Scholar
• Stathakis, D. and A. Vasilakos, 2006, "Comparison of Computational Intelligence Based Classification Techniques for Remotely Sensed Optical Image Classification," IEEE Transactions on Geoscience and Remote Sensing , 44(8):2305-2318.
   Google Scholar
• Tou, J. T. and R. C. Gonzalez, 1974, Pattern Recognition Principles , Reading, MA: Addison-Wesley Publishing Company, 377 p.
   Google Scholar
• U.S. Geological Survey, (2007, "Data Properties: Hyperion," in EO-1 User's Guide [ http://eo1.usgs.gov/userGuide/index.php?page=hyp_prop
   Google Scholar