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

Tong Di He; Jian Wei Li

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

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 383-390A Method for Water Quality Remote Retrieva Based...

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

Abstract:

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.

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Manufacturing Science and Technology, ICMST2011

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Periodical:

Advanced Materials Research (Volumes 383-390)

Pages:

3593-3597

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.383-390.3593

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Online since:

November 2011

Authors:

Tong Di He, Jian Wei Li

Keywords:

Genetic Algorithm (GA), Remote Sensing Image, Support Vector Regression (SVR), Water Quality Retrieval

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