Paper Title

SATELLITE IMAGE AUTHORIZATION WITH STATISTICAL METHODS

Abstract

This study presents a new method of statistical differencing for the enhancement of contrast images. Our approach controls the sharpening effect using two constants in such a way that enhancement occurs in intensity edges areas and very little in uniform areas. It has been proven that our method is superior to similar existent and can be applied to pre-process satellite images. Image processing on satellite imagery is an important challenge. In this area, the identification of objects in a satellite image is a pivotal task. Machine learning methods can be employed for this purpose as there has been significant amount of research in the area of image processing through machine learning.
KEYWORDS : satellite, statistical differencing, Image processing.

Paper Title

IMPROVING THE SLUM CONDITIONS IN HYDERABAD AREA

Abstract

The present study, part of a larger project, is an overview of the various studies on slums in India including those related to Hyderabad. Making a detailed analysis of the slums of Hyderabad the study reveals that Hyderabad, in line with all other such cities, had only a few slums in the beginning and improving the slum conditions in Hyderabad. There is increase in slum areas due to impact of globalization, increase in employment opportunities in urban areas and decreased employment opportunities in villages. The rural to urban migration has resulted in increase in slum areas and large increase of slum population.
KEYWORDS : improving the slum conditions, globalization.