Assessment Method of Lakes Water Quality based on Remote-Sensed Image and Support Vector Machine

摘要：

This paper introduces a data fusion processing method based on remote-sensed image data and the algorithm of Support Vector Machine, and analyzes an experiment on the water quality monitoring data of Taihu Lake. This method builds a SVM model to map remote sensing image into dispersed water quality classifications of lakes water quality monitoring spots, then, it distinguishes the whole lakes water quality condition combining with this model. By comparing with the results, the experiment shows that the results of the identifications of water quality of Taihu Lake match the practical water quality conditions well by using such method, and it provides a convenient and effective technical mean for monitoring and assessment of large catchments, as well, it has a good applied value on other fields.

作者: Mengxi XU

作者单位: UNESCO-IHE, Netherlands

会议类型: 国际会议

会议名称: 2nd IEEE Conference on Industrial Electronics and Applications(ICIEA 2007)(第二届IEEE工业电子与应用国际会议)

会议地点: 哈尔滨

会议语种:英文

在线出版日期: 2007-05-23（万方平台首次上网日期，不代表论文的发表时间）