Proc. SPIE. 8762, PIAGENG 2013: Intelligent Information, Control, and Communication Technology for Agricultural Engineering
KEYWORDS: Agriculture, Information and communication technologies, Databases, Geographic information systems, Telecommunications, Civil engineering, Java, Computer architecture, Decision support systems, Global Positioning System
According to client interactive operation in agricultural macroscopic decision-making eystem WebGIS publish, Ajax asynchronous communication technology and GWT-Ext were integrated into WebGIS. The Ajax technique used in the browser made the user getting part of the webpage information through the server possible. GWT-Ext is a Web interface element based on GWT (Google Web Toolkit) and Extjs development. GWT-Ext use Object Orient language Java and Ext component to develop Ajax applications, it is more efficient, shorten the development cycle. Based on the method in this paper the speed of server response and the interactivity can be improved.
Based on remote sensing images, the panoramic views of land coverage distribution across a large geographic area can be accessed conveniently. In order to improve the accuracy of monitoring land use changes, the Chaos Genetic Algorithm was proposed. Chaos Immune Algorithm has capability of self-organizing, self-learning, self-recognition and self-memory, hence through the input samples the global optimization clustering center was found. And then the clustering center was employed to classify the view picture of remote sensing image. In this process, the ergodic property of chaos phenomenon was used to optimize the initial antibody population, so it could accelerate the convergence of Immune Algorithm. Through the clone selection operator, mutation operator and recruited antibody, local optimums were avoid. Chaos Immune Algorithm was applied to classify land use in Huainan –based on TM image. Based on confusion matrix, the classification of the Parallelepiped and Maximum likelihood methods were contrasted with Chaos Immune Algorithm. It is demonstrated that Chaos Immune Algorithm is superior to the two traditional algorithms, and its overall accuracy and Kappa coefficient reach 88.26% and 0.853respectively.