Scientists have made great eff orts in developing techniques to assess and monitor the rate
of change in vegetation on global, regional and local scales. Vegetation indices are remote …

Selection of appropriate data and methods for environmental change assessment is highly
central in any remote sensing research project. This study assessed various land use/land …

Content‐based image retrieval from large resources has become an area of wide interest in
many applications. In this paper we present a CBIR system that uses Ranklet Transform and …

This study examines landuse change (LUC) in the Niger Delta of Nigeria, focusing on the
drivers of change and the societal implications on the people in the Delta. This study applies …

Multiple instance learning (MIL) has been proposed to classify the bag of instances. In
practice, we may meet the problems which have more than one view data. For example, in …

In this study we proposes an effective content based image retrieval by color and texture
based on wavelet coefficient method to achieve good retrieval in efficiency. Color feature …

Image retrieval plays a vital role in image processing. The main aim of this paper is to build
more generalized CBIR system, which increase the searching ability and to improve the …

The findings of image segmentation reflects its expansive applications and existence in the
field of digital image processing, so it has been addressed by many researchers in …

First, I thank Allah who inspired me and gave me favors to complete this thesis. My heartiest
gratitude to my beloved family: my martyr father, my mother, my wife, my children …

The goal of image segmentation is to assign every image pixels into their respective
sections that share a common visual characteristic. In this paper, the authors have evaluated …