A Method for Water Quality Remote Retrieva Based on Support Vector Regression with Parameters Optimized by Genetic Algorithm

Abstract:

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In order to improve water quality retrievals of multi-spectral image accurately, this paper puts forward a method for water quality remote retrieva based on support vector regression with parameters optimized by genetic algorithm. The method uses SPOT-5A data and the water quality field data, chose four representative water quality parameters, support vector regression are trained and tested, the parameters of support vector regression are optimized by genetic algorithms. The result of experiment shows that the method has more accuracy than the routine method. It provides a new approach for remote sensing monitoring of environment.

Info:

Periodical:

Advanced Materials Research (Volumes 383-390)

Edited by:

Wu Fan

Pages:

3593-3597

DOI:

10.4028/www.scientific.net/AMR.383-390.3593

Citation:

T. D. He and J. W. Li, "A Method for Water Quality Remote Retrieva Based on Support Vector Regression with Parameters Optimized by Genetic Algorithm", Advanced Materials Research, Vols. 383-390, pp. 3593-3597, 2012

Online since:

November 2011

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Price:

$35.00

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