Yaser_Gaber

ياسر جابر مصطفى

مدرس - مدرس

كلية الهندسة

العنوان: شارع رياض - اسيوط

8

إعجاب

السلام عليكم ورحمة الله وبركاته


2018-11-14 02:29:12
مناقشة التدريب الصيفى
على طلبة المطلوب مناقشتهم لتدريب الترم الصيفى آخر موعد للمقابلة يوم الأحد والأثنين القادمين إقراء المزيد

2018-11-16 23:29:09 | الكلمات المفتاحية Automatic texture mapping; sof,
Automatic texture mapping mega projects
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 suitable texture based on the score ... إقراء المزيد

2018-11-16 23:34:48 | الكلمات المفتاحية Metric, Quantitative measure, ,
Quantitative quality measure for photorealistic three dimensional models
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 reference texture is crucial. Metrics that have been used ... إقراء المزيد

2018-09-02 13:06:36 | الكلمات المفتاحية
Corresponding regions for shadow restoration in satellite high-resolution images
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 applications more difficult or even impossible. In this article, a shadow restoration approach ... إقراء المزيد

2018-09-02 13:01:16 | الكلمات المفتاحية
Shadow identification in high resolution satellite images in the presence of water regions
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 presented. The index histogram separates non-shadow, shadow, and ... إقراء المزيد

2018-09-02 13:02:51 | الكلمات المفتاحية principal component, histogram, Compensation, threshold., shadow,
Accurate shadow detection from high resolution satellite images
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 pixels from vegetation pixels correctly is still an issue as ... إقراء المزيد