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An Automatic Neural Networks System for Classifying Dust, Clouds, Water, and Vegetation from Red Sea Area
Gamal M. Behery
Pages - 27 - 44     |    Revised - 15-08-2013     |    Published - 15-09-2013
Volume - 4   Issue - 2    |    Publication Date - September 2013  Table of Contents
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KEYWORDS
NNs, Image Processing, Classification, Dust, Clouds, Water, Vegetation.
ABSTRACT
This paper presents an automatic remotely sensed system that is designed to classify dust, clouds, water and vegetation features from red sea area. Thus provides the system to make the test and classification process without retraining again. This system can rebuild the architecture of the neural network (NN) according to a linear combination among the number of epochs, the number of neurons, training functions, activation functions, and the number of hidden layers. Theproposed system is trained on the features of the provided images using 13 training functions, and is designed to find the best networks that has the ability to have the best classification on data is not included in the training data.This system shows an excellent classification of test data that is collected from the training data. The performances of the best three training functionsare%99.82, %99.64 and %99.28for test data that is not included in the training data.Although, the proposed system was trained on data selected only from one image, this system shows correctly classification of the features in the all images. The designed system can be carried out on remotely sensed images for classifying other features.This system was applied on several sub-images to classify the specified features. The correct performance of classifying the features from the sub-images was calculated by applying the proposed system on some small sections that were selected from contiguous areas contained the features.
1 Google Scholar 
2 CiteSeerX 
3 Scribd 
4 SlideShare 
5 PdfSR 
A. Halder, A. Ghosh, and S. Ghosh. "Supervised and unsupervised landuse map generation from remotely sensed images using ant based systems". Applied Soft Computing, vol. 11, pp. 5770-5781,2011.
A. J. Torija, D. P. Ruiz, and A.F. Ramos-Ridao." Use of back-propagation neural networks to predict both level and temporal-spectral composition of sound pressure in urban sound environments". Building and Environment vol. 52, pp. 45-56, 2012.
A. M. Zain, H. Haron, and S. Sharif. "Prediction of surface roughness in the end milling machining using Artificial Neural Network". Expert Systems withApplications vol. 37, pp.1755-1768, 2010.
A. Neyamadpour, S. Taib, and W.A.T.W.Abdullah. "Using artificial neural networks to invert 2D DC resistivity imaging data for high resistivity contrast regions: A MATLAB application". Computers & Geosciences vol. 35, pp. 2268-2274, 2009.
A.A El-Harby, "Automatic extraction of vector representations of line features from remotely sensed images", PhD Thesis, Keele University, UK, 2001.
A.A. El-Harby, G.M. Behery, and Mostafa.Y. El-Bakry, "A Self-Reorganizing Neural Network System", WCST, August 13-15, Vienna, Austria, 2008.
A.A. El-Harby. "Automatic classification System of Fires and smokes from the Delta area in Egypt using Neural Networks". International Journal of Intelligent Computing and Information Science (IJICIS),vol. 8(1), pp. 59-68, 2008.
A.A. El-Harby. "Automatic extraction of vector representation of line features: Classifying from remotely sensed images". LAMBERT Academic Publishing AG & Co. KG (Germany), U.S.A. & U.K,2010.
A.Pandey, J. K. Srivastava, N. S. Rajput, and R. Prasad. "Crop Parameter Estimation of Lady Finger by Using Different Neural Network Training Algorithms". Russian Agricultural Sciences, vol. 36,No. 1, pp. 71-77, 2010.
C. Igel and M. Hüsken."Empirical evaluation of the improved Rprop learning algorithms".Neurocomputing, vol. 50, pp. 105-123, 2003.
F. Ling, X. Li, F. Xiao, S. Fang, and Y. Du. "Object-based sub-pixel mapping of buildings incorporating the prior shape information from remotely sensed imagery". International Journal of Applied Earth Observation and Geoinformation, vol. 18, pp.283-292, 2012.
G. M. Foody. "Assessing the accuracy of land cover change with imperfect ground reference data".Remote Sensing of Environment, vol. 114(10), pp. 2271-2285, 2010.
G.M. Behery, A.A. El-Harby, and M.Y. El-Bakry. "Reorganizing Neural Network System for TwoSpirals and Linear-Low-Density Polyethylene Copolymer problems". Applied Computational Intelligence and Soft Computing, vol. 2009, pp. 1-11, 2009.
H. Parmar,and D.A. Hindoliya. "Artificial neural network based modelling of desiccant wheel".Energy and Buildings vol.43, pp. 3505-3513, 2011.
http://www.eoimages.gsfc.nasa.gov/images/imagerecords/44000/44777/redsea_tmo_2010205_lrg.jpg
http://www.eoimages.gsfc.nasa.gov/images/imagerecords/51000/51414/redsea_tmo_2011201_lrg.jpg
http://www.eoimages.gsfc.nasa.gov/images/imagerecords/51000/51593/redsea_tmo_2011215_lrg.jpg
J. A. Mumford, B. O. Turner, F. G. Ashby, and R. A. Poldrack." Deconvolving BOLD activation in event-related designs for multivoxel patternclassification analyses".NeuroImage vol. 59, pp. 2636-2643,2012.
J. Franklin, L.A. Spears-Lebrun, D.H. Deutschman and K. Marsden."Impact of a high-intensity fire on mixed evergreen and mixed conifer forests in the Peninsular Ranges of southern California, USA".Forest Ecology and Management, vol. 235(1-3), pp. 18-29, 2006.
J. N.Schwarz, B. Raymond, G.D. Williams, B. D. Pasquer, S. J.Marsland, and R.J. Gorton."Biophysical coupling in remotely-sensed wind stress, sea surface temperature, sea ice and chlorophyll concentrations in the South Indian Ocean". Deep-Sea Research II, vol. 57, pp. 701-722, 2010.
J. O. Adegoke, R. Pielke, and A. M. Carleton."Observational and modeling studies of the impacts of agriculture-related land use change on planetary boundary layer processes in the central U.S.".Agricultural and Forest Meteorology, vol. 142(2-4), pp. 203-215, 2007.
J. Roberts, S.Tesfamichael, M. Gebreslasie, J. Aardt and F. Ahmed. "Forest structural assessment using remote sensing technologies: an overview of the current state of the art". Southern Hemisphere Forestry Journal 2007, vol. 69(3), pp.183-203, 2007.
J. Zhang, L.Gruenwald, and M. Gertz."VDM-RS: A visual data mining system for exploring and classifying remotely sensed images". Computers & Geosciences, vol. 35(9), pp. 1827-1836, 2009.
K. Liu, W. Shi, and H. Zhang."A fuzzy topology-based maximum likelihood classification". ISPRS Journal of Photogrammetry and Remote Sensing, vol. 66(1), pp. 103-114, 2011.
K. Mori, T. Yamaguchi, J. G. Park, K. J. Mackin. "Application of neural network swarm optimization for paddy-field classification from remote sensing data", Artif Life Robotics, vol. 16,pp. 497–501, 2012.
L. Bai, H. Lin, H. Sun, Z.Zang, and D. Mo. "Remotely Sensed Percent Tree Cover Mapping Using Support Vector Machine Combined with Autonomous Endmember Extraction". Physics Procedia, vol.33, pp. 1702-1709, 2012.
L. Huang, J. Li, D. Zhao, and J. Zhu."A fieldwork study on the diurnal changes of urban microclimate in four types of ground cover and urban heat island of Nanjing, China". Building and Environment, vol.43(1), pp. 7-17, 2008.
L. Momenzadeh, A.Zomorodian, and D. Mowla. "Experimental and theoretical investigation of shelled corn drying in a microwave-assisted fluidized bed dryer using Artificial Neural Network". Food and Bioproductsprocessing , vol. 8 (9) , pp. 15-21, 2 0 1 1.
L. Yu, A. Porwal, E. Holden, and M. C.Dentith."Towards automatic lithological classification from remote sensing data using support vector machines", Computers & Geosciences vol. 45, pp.229–239, 2012.
M. Choi, J. M. Jacobs, M. C. Anderson, and D. D. Bosch. "Evaluation of drought indices via remotely sensed data with hydrological variables". Journal of Hydrology, vol. 476, pp. 265-273, 2013.
M. K. D.Kiani, B. Ghobadian, T. Tavakoli, A.M. Nikbakht, and G. Najafi. "Application of artificial neural networks for the prediction of performance and exhaust emissions in SI engine using ethanolgasoline blends". Energy vol. 35 pp. 65-69, 2010.
M. Riedmiller, and H. Braun. "A direct adaptive method for faster Backpropagation learning: The RPROP algorithm". in H. Ruspini, ed., Proc. IEEE Internet Conf. On Neural Networks (ICNN), San Francisco, 1993, pp. 586-591.
M. Y. El-Bakry, A.A. El-Harby, and G.M. Behery. "Automatic Neural Network System for Vorticity of Square Cylinders with Different Corner Radii". An International Journal of Applied Mathematics and Informatics, vol. 26(5-6), pp. 911-923, 2008.
N. A. Darwish,and N. Hilal. "Sensitivity analysis and faults diagnosis using artificial neural networks in natural gas TEG-dehydration plants". Chemical Engineering Journal vol. 137, pp. 189-197, 2008.
O.R. Abd El-Kawy, J.K. Rød, H.A. Ismail, and A.S. Suliman."Land use and land cover change detection in the western Nile delta of Egypt using remote sensing data". Applied Geography, vol. 31(2),pp. 483-494, 2011.
P. S. Thenkabail, M. Schull, and H. Turral."Ganges and Indus river basin land use/land cover (LULCand irrigated area mapping using continuous streams of MODIS data". Remote Sensing of Environment,vol. 95(3), pp. 317-341, 2005.
P.P. Tripathy,and S. Kumar. "Neural network approach for food temperature prediction during solar drying". International Journal of Thermal Sciences vol., 48, pp. 1452-1459, 2009.
Q. Miao, L. Bian, X. Wang, and C. Xu. "Study on Building and Modeling of Virtual Data of Xiaosha River Artificial Wetland". Journal of Environmental Protection, vol. 4, pp. 48-50, 2013.
S. Mehrotra, O.Prakash, B. N. Mishra, and B. Dwevedi. " Efficiency of neural networks for prediction of in vitro culture conditions and inoculum properties for optimum productivity". Plant Cell Tiss Organ Cult , vol. 95, pp. 29-35, 2008.
S.Pandey, D.A. Hindoliyab, and R. Mod, "Artificial neural networks for predicting indoor temperature using roof passive cooling techniques in buildings in different climatic conditions". Applied Soft Computing vol. 12, pp. 1214-1226, 2012.
T. KAVZOGLU and C. A. O. VIEIRA."An Analysis of Artificial Neural Network Pruning Algorithms in Relation to Land Cover Classification Accuracy". In Proceedings of the Remote Sensing Society Student Conference, Oxford, UK, 1998, pp. 53-58.
T. M. Kuplich. "Classifying regenerating forest stages in Amazoˆnia using remotely sensed images and a neural network". Forest Ecology and Management, vol. 234, pp.1-9, 2006.
X. Xi, Y. Cui, Z. Wang, J. Qian, J. Wang, L. Yang , and S. Zhao. "Study of dead-end microfiltration features in sequencing batch reactor (SBR) byoptimized neural networks". Desalination vol. 272, pp.27-35 2011.
X.A. Padin, G. Navarro, M. Gilcoto, A.F. Rios, and F.F. Pérez. "Estimation of air–sea CO2 fluxes in the Bay of Biscay based on empirical relationships and remotely sensed observations". Journal of Marine Systems, vol. 75, pp. 280-289, 2009.
X.G. Wang, Z. Tang, H. Tamura, M. Ishii and W.D. Sun."An improved backpropagation algorithm to avoid the local minima problem".Neurocomputing, vol. 56, pp. 455-460, 2004.
Y. Hu, and J. Tsai."Backpropagation multi-layer perceptron for incomplete pairwise comparison matrices in analytic hierarchy process". Applied Mathematics and Computation, vol. 180(1), pp. 53-62,2006.
Y. Kamarianakis, H. Feidas, G. Kokolatos, N. Chrysoulakis, and V. Karatzias. "Evaluating remotely sensed rainfall estimates using nonlinear mixed models and geographically weighted regression".Environmental Modelling& Software, vol. 23, pp. 1438-1447, 2008.
Y. Ren, J. Yan, X. Wei, Y. Wang, Y. Yang, L. Hua, Y. Xiong, X. Niu, and X. Song. "Effects of rapid urban sprawl on urban forest carbon stocks: Integrating remotely sensed, GIS and forest inventory data". Journal of Environmental Management, vol. 113, pp.447-455, 2012.
Z. Chen, Z. Chi, H. Fu, and D. Feng. "Multi-instance multi-label image classification: A neural approach". Neurocomputing, vol. 99, pp. 298-306, 2013.
Z.Rongqun, Z.Daolin. "Study of land cover classification based on knowledge rules using high-resolution remote sensing images", Expert Systems with Applications vol. 38, pp. 3647–3652, 2011.
Associate Professor Gamal M. Behery
University of Mansoura - Saudi Arabia
behery2911961@yahoo.com


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