Marine Water Quality Monitoring In The Satellite Data Clustering And Prediction Model

The content of this article is a part of the "The Key Technology of Real Time Surveillance and Quick Reporting in Seawater Quality Remote Sensing of Changjiang Delta" project. The technology of satellite remote sensing can collect the information from earth' s surface continuously in big region and high precision all day long, so we use it as the major way to research this project. BSAS algorithm is a crisp kind method for clustering, and in this article we use it to classify the remote sensing data. PCM algorithm is a fuzzy method to classify the remote sensing data, and in this article we also use it to classify the remote sensing data. After "that we do some experiments to compare it with FCM(Fuzzy C-means) algorithm. We also build an AR(Auto Regressive) model for the data in the same latitude in the remote sensing picture to make a approximate anticipating on the data in longitudes uncovered by the satellite or covered by clouds.