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 satellite images from WorldView-2 and WorldView-3 were used. Classification of image by pixel-based and object-based was carried out to find the appropriate classification method for road extraction. Then, road class refinement by morphology and angular texture signature are performed to decrease the misclassifications between roads and other spectrally similar objects. After that, an iterative and localized Hough transform method was compared with the thinning algorithm method to find the proper method that can extract road centerline segments from the refined images. The performance of the extracted roads was estimated by using the common metrics; completeness, correctness, and quality. The results of this work demonstrate that the random tree in object-based classification achieves the highest overall accuracy than other classification methods. Also, thinning algorithm has more advantages than Hough transform.

Solar energy is considered alternative crucial to fulfilling the increasing of energy requirements. Passive cooling systems are considered alternatives to mechanical ventilation systems. In this work, a highlight for a solar chimney with water heater and Phase Change Material is applied as a passive solar technique for cooling building integrated with short wind tower for low energy building in the hot arid climate. This paper aims to investigate the performance of new passive air condition system with the solar chimney and solar water heater as a full system for cooling air and heating water to be applied during day and night time based on the improvement of the solar chimney in Assiut climate, Egypt. Measurements, for air temperatures and surface temperature of the aluminium and air velocity inside the chimney, water temperature and room temperature were conducted with different solar radiations to evaluate the …

Master curves (MC) of mixtures and asphalt binders are typically implemented in the linear viscoelastic range for assessing their rheological behavior. Although there are several theoretical models to represent the MC of mixtures and asphalt binders, their performance is variable. The use of MC to model the binder’s phase angle has received less attention compared to the MC of the complex modulus. Thus, this paper investigates the possibility of using several predictive equations to represent the phase angle (δ) of neat asphalt (virgin asphalt and sulfur-extended asphalt, SEA) and modified asphalt [recycled polyethylene-modified asphalt and recycled polyethylene-modified SEA (PMSEA)]. The investigated models include the standard sigmoidal (SS) model, generalized logistic sigmoidal (GLS) model, Christensen (CA) model, and Anderson and Marasteanu (CAM) model. The viscoelastic properties of these

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 satellite images from WorldView-2 and WorldView-3 were used. Classification of image by pixel-based and object-based was carried out to find the appropriate classification method for road extraction. Then, road class refinement by morphology and angular texture signature are performed to decrease the misclassifications between roads and other spectrally similar objects. After that, an iterative and localized Hough transform method was compared with the thinning algorithm method to find the proper method that can extract road centerline segments from the refined images. The performance of the extracted roads was estimated by using the common metrics; completeness, correctness, and quality. The results of this work demonstrate that the random tree in object-based classification achieves the highest overall accuracy than other classification methods. Also, thinning algorithm has more advantages than Hough transform.

Shadow detection is an important process for applications like classification, change detection, image interpretation, object detection, and recognition. The existence of shadow in satellite images reduce the amount of information that can be extracted and accordingly makes these applications more difficult or even impossible. Different color space is used to detect shadows based on , , and  bands. This paper aims to represent an automatic approach for shadow detection from high-resolution satellite images. In this approach, a new index to highlight shadow areas based on  color model is developed. A comparative study is carried out between the proposed index with a different photometric invariant color model, including IHS, HSV, YIQ, and  models over the ratio and single-band images. Then, an automatic thresholding method is applied in images histogram. The accuracy of the obtained results is evaluated in terms of visual comparisons and shadow detection accuracy assessments. Experimental results show that the proposed ratio method provides the best results for shadow detection. On the other hand, shallow water is still misclassified as a shadow.

There are newly explored areas that have been explored by a scientific expedition in the Egyptian’s western desert. This paper discusses a primary master plan of the gardens’ city, which lies in the newly discovered to be developed areas. It is planned to depend on renewable energy. Gardens’ city has economic base that depends mainly on Palm, Olive trees and wheat. A renewable energy field of about 9000 Acres area is planned to provide the city and new explored areas with clean energy. Different agriculture and industrial activities will work together to create a clean and human urban area هناك مناطق تم استكشافها حديثًا تم استكشافها بواسطة بعثة علمية في الصحراء الغربية لمصر. تناقش هذه الورقة المخطط الرئيسي الأولي لمدينة الحدائق، والتي تقع في المناطق التي تم اكتشافها حديثًا والتي سيتم تطويرها. من المخطط أن تعتمد على الطاقة المتجددة. تتمتع مدينة الجاردنز بقاعدة اقتصادية تعتمد بشكل أساسي على النخيل وأشجار الزيتون والقمح. تم التخطيط لحقل طاقة متجددة بمساحة 9000 فدان لتزويد المدينة والمناطق الجديدة المستكشفة بالطاقة النظيفة. ستعمل الأنشطة الزراعية والصناعية المختلفة معًا لإنشاء منطقة حضرية نظيفة وبشرية