Mangrove mapping in Penang Island by using artificial neural network technique

2011 IEEE Conference on Open Systems, ICOS 2011

Volumn , Issue , 2011, Pages 245-249

  Chun, Beh Boon ^a   Jafri, Mohd Zubir Mat ^a   San, Lim Hwee ^a  

^a SCHOOL OF PHYSICS   (Malaysia)

Author keywords

artificial neural network; mangrove; Multi layer Feed Forward network; multilayer perceptrons; THEOS

Indexed keywords

CHARCOAL; COMPUTER PERIPHERAL EQUIPMENT; DATA HANDLING; FEEDFORWARD NEURAL NETWORKS; FORESTRY; MAPPING; MAPS; NETWORK LAYERS; NEURAL NETWORKS; OPEN SYSTEMS; SATELLITE IMAGERY; TIMBER;

CLASSIFICATION RESULTS; EARTH OBSERVING SYSTEMS; ENVIRONMENTAL STUDIES; MANGROVE; MULTI-LAYER FEED FORWARD; MULTI-LAYER FEED-FORWARD NETWORKS; SUPERVISED CLASSIFICATION; THEOS;

MULTILAYER NEURAL NETWORKS;

CYBERNETICS; DATA PROCESSING; FORESTRY; FORESTS; IMAGE ANALYSIS; MAPPING; MULTILAYERS; NEURAL NETWORKS; OPEN SYSTEMS; PATTERN RECOGNITION; PERIPHERAL DRIVES; SATELLITES;

EID: 83155161715     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICOS.2011.6079297     Document Type: Conference Paper

References (13)

1. Z. G. Liu, J. Li, B. L. Lim, C. Y. Seng, and S. Inbaraj, "Object-based classification for mangrove with VHR remotely sensed image,"Proceedings of SPIE, 6752, pp. 67523C1-67523C8, 2007.
2. R. Jensen, P. Mausel, N. Dias, R. Gonser, C. Yang, J. Everitt, and R. Fletcher, "Spectral analysis of coastal vegetation and land cover using AISA+ hyperspectral data," Geocarto International, 22(1), pp. 17-28, 2007. (Pubitemid 351485716)
3. W. J. Mitsch, J. C. Lefeuvre, and V. Bouchard, "Ecological engineering applied to river and wetland restoration," Ecological Engineering, 18(5), 529-541, 2002. (Pubitemid 34653233)
4. D. M. Alongi, "Present state and future of the world's mangrove forests," Environmental Conservation, 29, pp. 331-349, 2002.
5. L. Wang, L. S-C. Jose, and P. S. Wayne, "Neural network classification of mangrove species form multi-seasonal Ikonos imagery,"Photogrammetric Engineering & Remote Sensing, 74(7), pp. 921-927, 2008. (Pubitemid 352008939)
6. M. R. Mustapha, H. S. Lim, and M. Z. Mat Jafri, "Land cover mapping in Madinah using neural network approach," MRSS 6th International Remote Sensing & GIS Conference and Exhibition at PWTC, Kuala Lumpur, Malaysia on April 28-29, 2010.
7. X. Yu., H. B. Shao, X. H. Liu, and D. Z. Zhao, "Applying neural network classification to obtain mangrove landscape characteristic for monitoring the travel environment quality on the Beihai Coast of Guangxi, P. R. China," Clean-Soil, Air, Water, 38(3), pp. 289-295, 2010.
8. N. M. Nasrabadi, and C. Y. Choo, "Hopfield network for stereo vision correspondence," IEEE Transaction on Neural Networks, 3, pp. 5-13, 1992.
9. I. Kanellopoulos, A. Varfis, G. G. Wilkinson, and J. Meiger, "Land cover discrimination in SPOT HRV imagery using artificial neural network - a 20 class experiment," International Journal of Remote Sensing, 13, pp. 917-924, 1992.
10. D. J. Lewis, D. G. Corr, C. R. Gent, and C. P. Sheppard, "Semisupervised artificial neural networks for classification of remotely sensed images," Remote sensing from research to operation (Nottingham: remote Sensing Society), pp. 489-497, 1992.
11. M. Tedesco, J. Pulliainen, M. Takala, M. Hallikainen, and P. Pampaloni, "Artificial neural network-based techniques for the retrieval of SWE and snow depth from SSM/I data," Remote Sensing of Environment, 90, pp. 76-85, 2004. (Pubitemid 38225348)
12. T. M. Lillesand, and R. W. Kiefer, "Classification Accuracy Assessment. In Remote Sensing and Image Interpretation," John Wiley & Sons (3rd Edition), pp. 612-618, 1994.
13. Y. Bishop, S. Fienberg, and P. Holland, "Theory and Practices. In Discrete Multivariate Analysis, Cambridge and Massachusetts: MIT Press, pp. 575, 1975.