Egyptian Armed Forces
Online published on 27 February, 2018.
The Geographic Information Systems (GIS) have become popular tool, used in different fields. The launching of Commercial map servers offered a new approach of building web based GIS systems; making it possible to integrate external geographically referenced data with the powerful map server. This paper presents the design and implementation of a web based GIS which involves both server side and client side. The system is built by adapting the Google Maps Application programming interface (API) library and building a web server with HyperText Markup Language (HTML5), Hypertext Preprocessor (PHP) and other web programming language. Users can interact with the application to send requests to the server to obtain images from the map server. The required images is then sent to the processing server to perform unsupervised classification of satellite images using Matlab. The previous functionalities are necessary to use efficient techniques for the classification of images and the incorporation of content based image retrieval (CBIR). Several experimental validation types of the classification results with the proposed system are performed by comparing the classification accuracy of the proposed chain by means of techniques available in the well-known ERDAS IMAGINE software package.
Remote sensing data processing, satellite image classification, web-based system, k-means, fuzzy c-means, content-based image retrieval (CBIR)