Water body extraction from Landsat ETM+ imagery using adaboost algorithm

2010 18th International Conference on Geoinformatics, Geoinformatics 2010

Volumn , Issue , 2010, Pages

  Shen, Li ^a   Li, Changchun ^a  

^a BEIJING NORMAL UNIVERSITY   (China)

Author keywords

AdaBoost; ETM+; Remote sensing imagery; Water body extraction

Indexed keywords

ADABOOST; ADABOOST ALGORITHM; BASE CLASSIFIERS; CLASSIFICATION ALGORITHM; EMERGENCY RESPONSE; ETM+; EXTRACTING WATER; FLOOD DISASTER MANAGEMENT; HIGH SPATIAL RESOLUTION; LANDSAT ETM+; LEARNING CLASSIFIERS; OBJECT DATA; PREDICTION RULES; REMOTE SENSING IMAGERY; REMOTELY SENSED IMAGERY; SPECTRAL INFORMATION; WATER BODY EXTRACTION; WATER INDEX; WATERBODIES; WEAK CLASSIFIERS;

ADAPTIVE BOOSTING; ALGORITHMS; CLASSIFIERS; DISASTER PREVENTION; FEATURE EXTRACTION; PLANNING; REMOTE SENSING; SATELLITE IMAGERY; WATER RESOURCES;

SOLVENT EXTRACTION;

EID: 77958040219     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/GEOINFORMATICS.2010.5567762     Document Type: Conference Paper

References (7)

1. L. Qian, Remote Sensing Digital Image Processing and Geographical Feature Extraction. Beiijng:Science Press, 2004.
2. C. Zhou, J. Luo, X. Yang, C.Yang, and Q. Liu, Remote Sensing Geoscience Understanding and Analysis. Beijing: Science Press, 2001.
3. S.K. Mcfeeters, "The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features," International Journal of Remote Sensing, vol.17, pp. 1425-1432, 1996.
4. H. Xu, "Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery," International Joural of Remote Sensing, vol.27, pp. 3025-3033.
5. Y. Freund, "Boosting a weak learning algorithm by majority," Information and Computation, vol.121, pp. 256-285, 1995.
6. T.M. Lillesand, R.W. Kiefer and J. Chipman, Remote Sensing and Image Interpretation, 4rd ed. New York: John Wiley & Sons, 2001
7. S.N. Goward, B. Markham, D.G. Dye, W. Dulaney, and J. Yang, "Normalized difference vegetation index measurements from the adavanced very high resolution radiometer," Remote Sensing of Environment, vol.35, p.257-277, 1991.