Reliably detecting objects in broad-area overhead or satellite images has become an
increasingly pressing need, as the capabilities for image acquisition are growing rapidly …

Salient image regions permit non-uniform allocation of computational resources. The
selection of a commensurate set of salient regions is often a step taken in the initial stages of …

Saliency detection has been revealed an effective and reliable approach to extract the
region of interest (ROI) in remote sensing images. However, most existing saliency detection …

There are two sides to every story of visual saliency modeling in the frequency domain. On
the one hand, image saliency can be effectively estimated by applying simple operations to …

Automatic target detection in satellite images remains a challenging problem. The main
difficulties lie in the cooccurrence of variations of target type, pose, and size in huge satellite …

The problem of structure detection and unsupervised classification of hyperspectral images
with low spatial resolution is addressed in this paper. Hyperspectral imaging is a …

Airplane detection has been taking a great interest to researchers in the remote sensing
filed. In this paper, we propose a new approach on feature extraction for airplane detection …

Visual attention is a relatively new area of study combining a number of disciplines: artificial
neural networks, artificial intelligence, vision science and psychology. The aim is to build …

Region of interest (ROI) extraction techniques based on saliency comprise an important
branch of remote sensing image analysis. In this study, we propose a novel ROI extraction …

Multimedia databases have gained popularity due to rapidly growing quantities of
multimedia data and the need to perform efficient indexing, retrieval and analysis of this …