SEMANTIC WEB BASED SATELLITE IMAGE CLASSIFICATION

Abstract

It is a great pleasure to have the opportunity to extent my heartfelt gratitude to everybody who helped me throughout the course of this project. In this study we have proposed a framework for semantic web based satellite image classification. Satellite images have several features embed in it like spatial, spectral and temporal properties etc. Through these features object detection has been performed. Semantic web has its application in every domain, so we have used it in Remote Sensing for classification of satellite images by semantic web technology i.e. Ontology. This work is extending the concept of building the description of the geographic domain in the form of its ontology i.e. Geo-Ontology. We are making the geo-ontology for several generic characteristics of the features in earth observation satellite (EOS) images. Geo-Ontology is the effective specification of concepts in geo domain. So it has been used by us as a means for image classification like other standard technique...