
Yasser Gaber Mostafa- Professor
- Sohag University
Yasser Gaber Mostafa
- Professor
- Sohag University
About
31
Publications
12,434
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
305
Citations
Introduction
Yasser Gaber Mostafa currently is Assistant Professor at the Department of Civil Engineering, Sohag University, Egypt. Areas of research: • Remote Sensing • Photogrammetry • Laser Scanning • Multi sensors Data Fusion • Computer Vision • Software Engineering • Image Processing. Their most recent publication is " Accurate Shadow Detection From High-Resolution Satellite Images"
Skills and Expertise
Current institution
Additional affiliations
October 2012 - present
Education
September 2007 - August 2012
Publications
Publications (31)
Shadow is a main obstacle in features extraction from high resolution satellite images. Water areas provide low reflectance; therefore, they are commonly classified as shadow. In traditional shadow identification procedures, shadow is identified from image histogram in which, water and shadow pixels are mixed. In this study, a new image index is pr...
Remote sensing images provide a valuable source of information about earth surface. The presence of shadow can reduce the amount of information that can be extracted from these images. Shadow in remote sensing images is produced due to blockage of a direct light by an object. In spite of the reflectance gathered in the shadow area is weak, there is...
High-resolution satellite images contain a huge amount of information. Shadows in such images generate real problems in classifying and extracting the required information. Although signals recorded in shadow area are weak, it is still possible to recover them. Significant work is already done in shadow detection direction but, classifying shadow p...
High spatial resolution images available by satellites such as Ikonos, Quickbird, and WorldView-2 provide more information for remote sensing applications, such as object detection, classification, change detection, and object mapping. The presence of shadow reduces the amount of information that can be extracted and consequently makes these applic...
Since the establishment of the International GNSS Service (IGS) stations, they have been used as control stations for assigning the Precise point positioning (PPP) positions using one Global Navigation Satellite System (GNSS) receiver, which has increased from day-today. There are some factors affecting the accuracy of PPP positioning. This researc...
Recent developments in remote sensing provide very high-resolution imageries that are partially in competition with aerial images. This paper presents an evaluation of using IKONOS-2 and WorldView-2 satellite imageries for monitoring the growth of the built-up areas in the southern part of Assiut City between 2006 and 2016. In addition, a compariso...
The earth surface changes continuously due to the natural causes and human activities. New generations of satellite sensors, such as WorldView and GeoEye, provide new data to better delineate, track and visualise changes in land cover. A number of classes are used in the satellite images. All artefacts with elevations greater than the ground su...
The earth surface changes continuously due to natural causes and human activities. New generations of satellite sensors, such as WorldView and GeoEye, provide new data to better delineate, track, and visualize changes in land cover. Several classes are used in the satellite images. All artifacts with elevations greater than the ground surface (buil...
Classification is one of the most significant phases for remote sensing image interpretation. All the supervised classifiers needsufficient and efficient training samples, which are usually selected manually and labeled by visual inspection or field survey.Selecting training samples manually requires more time and human effort. A new method is prop...
The development of a new Very High-Resolution (VHR) satellite sensor provides opportunities for mapping more details. The building extraction process is a challenging problem due to the misclassification between buildings and similar spectral objects. The main aim of this study is to introduce an approach to building rooftops border extraction. In...
Urban land cover classification using Very High Resolution (VHR) satellite images is a very important source of information for map updating. Egyptian environment has more challenges in feature extraction. The main problem lies in the spectral similarity between different land cover classes. Also, great diversity in sizes, shapes, and materials of...
Robust building detection from satellite images has been a subject of interest for several decades. Very High Resolution (VHR) satellite images support the efficient extraction of manmade objects. The main aim of this paper is to present an approach for building extraction from VHR satellite images for map updating in Egypt. To achieve this aim, a...
Texture mapping of 3D models in fields like architecture and archaeology is a real challenge especially with a large number of images which are not always captured with the ideal photogrammetric order. In this paper, a new algorithm for full automatic texture mapping is developed based on several parameters. The developed algorithm assigns the suit...
The new generation of remote sensing satellite with very high-resolution images has provided a high level of details, which make them a reliable source of information. Presence of shadow can reduce the amount of information that can be extracted from these images. Shadow can be confused with dark objects such as water and dark vegetation. The main...
One of the main problems in automating road network extraction from high-resolution satellite images is the misclassification between roads and other spectrally similar objects. Significant work is already done on the road class refinement direction. But, extraction of the roads that are closely adjacent to parking lots/buildings and identification...
The demand for virtual photorealistic models has been recently increased especially in the field of
documenting large archaeological sites. These models are commonly assessed qualitatively as no
quantitative measure tool is available. In this work, a new approach is presented for a quantitative
measure of models texture similarity. Deciding for the...
The new satellites sensors such as GeoEye , WorldView and Ikonos , provide new data for better delineation, detection, and visualization of Land cover changes. Several techniques have been proposed and developed for change detection automatically. The main aim of this research is to assess the use of very high-resolution satellites images in monito...
The new satellites sensors such as GeoEye , WorldView and Ikonos , provide new data for better delineation, detection, and visualization of Land cover changes. Several techniques have been proposed and developed for change detection automatically. The main aim of this research is to assess the use of very high-resolution satellites images in monito...
Roads extraction from VHR satellite images are very paramount for GIS and map updating. Due to the high resolution of satellite images, there are many obstacles broken roads such as shadow, and vehicles. The present work aims to find the most suitable road extraction approach that can be applied in the Egyptian environment. In this study, two satel...
The geometric design, especially the horizontal and vertical alignments, of rural two-lane highway facilities is considered one of the most important factors affecting the quality of traffic service and safety. A consistent highway geometric design is defined to be one that conforms to the driver’s expectations. In order to calculate the main measu...
The remote sensing society is currently offering a wide variety of digital images that cover most of
the Earth’s surface. The up-to-date image data is a promising tool for producing accurate maps. To
maximize the benefit of such data, automatic and efficient classification methods are investigated.
For the past years, traditional pixel-based classi...
High and accelerating rate of the urban changes and extensions, in developing countries such as
Egypt, calls for an efficient and fast technique for mapping. The availability of the new generation
commercial one-meter resolution satellite images has opened a new era for producing and updating
large-scale digital maps. The main objective of this stu...
For the purpose of engineering projects such as roads, railways, canals, water supply, reservoirs, dams, buildings, bridges, flyovers, etc., extensive surveying is inevitable for proper establishment and allocation of the job site. The success of any engineering project is highly dependent on accurate and complete survey work. This book contributes...
The generation of orthoimages from satellite images is an important task for various remote sensing applications. It has the interpretative qualities inherent in an image and the geometric properties of a map. The quality of the extracted data from orthoimages depends mainly on the accuracy of the input data and the used mathematical models. The av...
The lack of adequate maps is one of the critical issues to be handled in
developing countries. The main problem is the rapid development of urban
areas, so that maps are out of date very fast. Consequently, nearly all these
maps have to be revised and updated as soon as possible. Recently, due to
the improvement in satellite technology, remote sens...
Digital orthoimages are proving to be suitable for a variety of mapping,
Geographic Information Systems (GIS) and environmental monitoring
tasks. The quality of the extracted data from orthoimages depends mainly
on the accuracy of the input data and the used mathematical models. The
availability of the Egypt Sat-1 satellite images provide valuable...
Maps are fast and accurate information sources when it is required, to
study and to develop projects in any region. In Egypt, many of the
available maps are in an unsatisfactory scale and not updated. The
availability of Egypt Sat1 satellite images, opened new possibilities for
mapping and map updating. Egypt Sat1 is the first Egyptian earth
observ...
Frequent acquisition of remotely sensed data makes it possible to use the satellite images to determine type and extent of changes in the environment. Many digital change detection algorithms have been developed since the launch of ERTS-1 in 1972 to reveal changes. With the launch of the satellite with different sensor characteristics and advanceme...
Frequent acquisition of remotely sensed data makes it possible to use the
satellite images to determine type and extent of changes in the environment. Many
digital change detection algorithms have been developed since the launch of ERTS-1
in 1972 to reveal changes. With the launch of satellite with different sensor
characteristics and advancement i...