Paper Title:
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.

  Info
Periodical
Advanced Materials Research (Volumes 383-390)
Chapter
Chapter 13: Environmentally Sustainable Manufacturing Processes and Systems
Edited by
Wu Fan
Pages
3593-3597
DOI
10.4028/www.scientific.net/AMR.383-390.3593
Citation
T. D. He, 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
$32.00
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