Design of water quality monitoring based on SVM and its simulation platform by remote sensing

Monitoring water quality using remote sensing technology is current research focus, the main challenge of which is to design an appropriate inversion model of water quality and an effective simulation platform. For the Small Sample Size problem, this paper proposes a water quality inversion method based on SVM. Such method uses ε-SVR whose kernel is RBF to build the inversion model. Besides, we design a water quality monitoring simulation platform (WRS) based on MVC pattern. WRS is developed by MFC, GDAL and LIBSVM to realize the function of graphical interface, image read/write, modeling and inversion. Furthermore, the divide and conquer algorithm is utilized to speed up the huge-volume remote sensing image processing. Finally, we simulate this SVM method on WRS, and the results show the feasibility of our method and the effectiveness of the simulation platform.