Due to the low frequency nature of satellite image, it may appeared as blurred image. To improve the frequency of those images, image Resolution techniques are used. This is used in a huge number of applications such as remote sensing, medical imaging with important challenges such as reduction of aliasing, ringing, distortions, blurring, artifacts, etc. Enhancing the resolution of an image inc...

Mirror-image pain is characterized by mechanical hypersensitivity on the uninjured mirror-image side. Recent reports favor central mechanisms, but whether peripheral mechanisms are involved remains unclear. We used unilateral spinal nerve ligation (SNL) to induce mirror-image pain in rats. On the mirror-image (contralateral) side, we found that satellite glia in the dorsal root ganglion (DRG) w...

This paper presents a satellite tracking method based on optical celestial images. The proposed method is composed of two acquiring modes that are called Sidereal Stare Mode (SSM) and Track Rate Mode (TRM). To track the unknown satellites, first of all the entire of the sky is observed and the primary knowledge of the satellite location is predicted in SSM. Then, the measured pointing data is c...

In digital image processing, image segmentation is the most important task. This paper provides an faithful image segmentation algorithm with biologically inspired technique Bacterial Foraging Optimization (BFO) for different images with different size.. The methodology of this paper is to separate R G and B planes of input image and then Revised Bacterial Foraging Optimization Algorithm (RBFOA...

Satellite image classification has been a major research field for many years with its varied applications in the field of Geography, Geology, Archaeology, Environmental Sciences and Military purposes. Many different techniques have been proposed to classify satellite images with color, shape and texture features. Complex indices like Vegetation index (NDVI), Brightness index (BI) or Urban inde...

Recent technological advances have made it possible to process and store large amounts of image data. The most impressive example is the accumulation of image data in scientific applications such as satellite imagery. However, in order to realize their full potential, tools for efficient extraction of information and for intelligent search in image data bases need to be developed. The paper des...

With the development of satellite and remote sensing techniques, more and more image data from airborne/satellite sensors have become available. Multi-sensor image fusion seeks to combine information from different images to obtain more inferences than can be derived from a single sensor. In image-based application fields, image fusion has emerged as a promising research area since the end of t...

Background: Satellite images are being used in many fields of research mainly for monitoring the remote areas for analyzing the environmental conditions, land and water resource monitoring etc., these images are affected by clouds and electromagnetic radiation which results in poor perception of image. Objective: To analyze the satellite image, improvement in the resolution of the image and als...

Panchromatic (PAN) satellite imagery has been used successfully in different applications such as topographic mapping and terrain modelling. Nevertheless, PAN imagery is still one of the less used digital sources for land-change studies except few processes where the high-resolution of the PAN images is used to improve the visualization quality of the multi-spectral images. This research aimed ...

In this paper we have proposed a symmetric, positive semi definite kernel function for support vector machine classifier. Pixel classification is a form of supervised image segmentation where the actual object classes present in the image are known a priori. In case of satellite image, this prior information plays a huge role to estimate the actual statistics of different land covers. The state...