AL-Rafidain Journal of Computer Sciences and Mathematics

Abstract

In this paper we benefiting from Satellite imaging to retrieve information by using its contents, which is the pixels value of the image and by using the information of groups of pixels like texture, color gradation etc….then analyzing these information to extract spatial and temporal information of this images. Content Based Information Retrieval (CBIR) technique was used to retrieve image contents depending on visual objects of it. Support Vector Machine (SVM) technique was put into use by depending on more than one function like polynomial and RBF, then applying every one of them alone with the training image with different blocks size, then using block size and function that give best result from the training phase to be applied on the test images.
The Satellite imaging was classified into two areas; desert and none desert in order to find the desert percentage of each image and comparing increasing of the desert percentages in Al-Hatra Region as a typical desertification area in nenavah governorate on different temporal periods. The language used in building the system is Matlab R2011a.