A review on classification of satellite image using Artificial Neural Network (ANN)

Proceedings - 2014 5th IEEE Control and System Graduate Research Colloquium, ICSGRC 2014

Volumn , Issue , 2014, Pages 153-157

  Mahmon, Nur Anis ^a   Ya'Acob, Norsuzila ^a  

^a UNIVERSITI TEKNOLOGI MARA   (Malaysia)

Author keywords

Artificial Neural Network; Land Use and Land Cover; Remote Sensing

Indexed keywords

BACKPROPAGATION; IMAGE CLASSIFICATION; K-MEANS CLUSTERING; LAND USE; MAXIMUM LIKELIHOOD; NEURAL NETWORKS; REMOTE SENSING;

CLASSIFICATION ACCURACY; CLASSIFICATION RESULTS; CLASSIFICATION TECHNIQUE; CONVENTIONAL CLASSIFIER; IMAGE CLASSIFICATION ALGORITHMS; LAND USE AND LAND COVER; NEURAL NETWORK CLASSIFICATION; REMOTE SENSING APPLICATIONS;

CLASSIFICATION (OF INFORMATION);

EID: 84908614586     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSGRC.2014.6908713     Document Type: Conference Paper

References (16)

1. Khorram, S. "Comparison of Landsat MSS and TM data for urban land-use classification", IEEE Trans. Geoscience Remote Sensing. 1987, 25, 238-243.
2. Mukherjee, J. "MRF Clustering for segmentation of color images" in Pattern Recognition Letters. 2002, pp. 917-929.
3. Lillesand, T.M., and R. W. Kiefa "Remote Sensing & Image interpolation". John & Sons. 2000
4. Karry Kyllo "Agricultural Remote Sensing Basics" in NDSU: North Dakota State University. 2004
5. M.Seetha, I.V.Muralikrishna "Artificial neural network and other methods of image classification" in Journal of theoretical and Applied Information Technology.
6. Principe, J.C., Euliano, N.R., Lefebvre, W.C. "Neural and adaptive system: fundamentals through simulations", John Wiley & Sons, Inc.: New York, NY, USA. 1999, pp. 100-222.
7. Congcong Li et al "Comparison of classification algorithm and training sample sizes in urban land classification with Landsat thematic Mapper imagery" in ISSN Remote Sensing. 2014, pp. 968-983.
8. Jiefeng Jiang etl. "Application of Back Propagation Neural Network in the Classification of High Resolution Remote Sensing Image". Geographic Information Information research.
9. Mayank Toshniwal "Satellite image classification using neural network" in 3rd International Conference: Sciences of Electronic, Technologies of Information and Telecommunications. 2005, pp. 27-31.
10. Smriti Seghal "Remotely sensed LANDSAT image classification using neural network approaches" in International Journal of Engineering research and Applications (IJERA), vol 2, pp.043-046, 2012.
11. Y.V. Venkatesh and S. Kumar Raja "On the classification of multispectral satellite images using the multilayer perceptron" In pattern recognition, The Journal of Pattern Recognition Society, 2002.
12. Kardi Teknomo "K-Means Clustering Tutorial" of the Teknomo, Kardi. K-Means Clustering Tutorials. 2007.
13. Sultan AlSultan "Innovative Satellite Image Map Of R.Alkhabrta Area, Saudi Arabia Using High Resolution Image", School of Physics.
14. Tso, B. and P.M. Mather. "Classification Methods for Remotely Sensed Data". 1st Edn., Taylor and Francis, London. 2001.
15. Congcong Li et al "Comparison of classification algorithm and training sample sizes in urban land classification with Landsat thematic Mapper imagery" in ISSN Remote Sensing. 2014, pp. 968-983.
16. Siamak Khorram. "Application of Neural Network-based Classification for Watershed Land Cover Mapping", North Carolina State University (NCSU).