Discrimination between texture edges and geometrical edges is very difficult in low contrast images. Satellite images are low contrast images. It is important to extract the edges that are not clearly visible in case of Satellite images. The present work encompasses a new edge detection algorithm using newly constructed differentiator. Chebyshev polynomial based fractional order differentiator ...

This study proposes a novel tiling approach to capture an image of an entire object. Multi-spectral and multi-temporal satellite images are obtained a priori, and these individual image pieces can then be joined together at a later date to form an image of the entire object. The effectiveness of the proposed technique has been studied by tiling partially overlapping satellite mosaic images of t...

This article presents a new methodology for detecting road network and planning the path for vehicle motion using road map and satellite/aerial images. The method estimates road regions from based on network models, which are created from road maps and satellite images on the basis of using image-processing techniques such color filters, difference of Gaussian, and Radon transform. In the case ...

Different types of iron oxides deposits have been identified along the Khaf – Dorouneh volcanic and plutonic belt in north east of Iran. Kuh-e-Zar is one of these ore deposits known as Fe- oxide gold deposit. The main purpose of this paper is to detect and discriminate the iron oxide minerals in this area based on the ETM+ data. Data processing has been done by ENVI (Environment for Visualizing...

In this paper we propose a supervised learning system for counting and localizing palm trees in high-resolution, panchromatic satellite imagery (40cm/pixel to 1.5m/pixel). A convolutional neural network classifier trained on a set of palm and no-palm images is applied across a satellite image scene in a sliding window fashion. The resultant confidence map is smoothed with a uniform filter. A no...

nowadays the science of remote sensing and satellite data, constitute modern scientific tools,as they provide important information and make research easier in many scientific fields. this research articlepresents an integrated system for continuous monitoring of the vegetation and the human impact on the natura2000 protected areas of strofilia forest and kotychi lagoon (natura 2000 codes: gr 2...

––Satellite image compression is one of active image processing areas. In this paper we proposed a novel approach for ROI compression of multiband satellite images using modified JPEG standard. In this paper, we show how the quantization may be adapted in each block and how we may signal to the decoder in a memory-efficient manner. This allows ROI coding of satellite images. The method takes ad...

abstract identification & supervision of fluctuations in physical ecosystems have a special place in optimum using of natural resources. urmia lake is the largest interior natural lake of iran which its potentials and ecosystem & environmental characteristics attracted researchers and environmental planners attention. fluctuations in area and perimeter of the lake attracted many attentions in r...

Using satellite cloud images to simulate clouds is one of the new visual simulation technologies in Virtual Reality (VR). Taking the original data of satellite cloud images as the source, this paper depicts specifically the technology of 3D satellite cloud imaging through the transforming of coordinates and projection, creating a DEM (Digital Elevation Model) of cloud imaging and 3D simulation....