Yaser_Gaber

ياسر جابر مصطفى

مدرس - مدرس

كلية الهندسة

العنوان: شارع رياض - اسيوط

10

إعجاب
5 1 1 13 4 1 310 65
70

أضيف حديثا
  • المقررات الدراسية 5
  • ملحقات المقررات الدراسية 1
  • واجبات المقررات الدراسية 1
  • المنشورات و المؤلفات 13
  • ساعات مكتبية 4
  • الاعلانات 1
  • عدد الملفات المرفوعه 1
  • كل التنزيلات 7

المنشورات و المؤلفات التي تحتوي علي الكلمة المفتاحية: Feature Extraction

A New Method for Image Classification Based on Multi-level Neural Networks

2018-09-04 21:04:58 الكلمات المفتاحية Image classification, multi-level neural networks, Feature Extraction, wavelets decomposition.,
A New Method for Image Classification Based on Multi-level Neural Networks
In this paper, we propose a supervised method for color image classification based on a multilevel sigmoidal neural network (MSNN) model. In this method, images are classified into five categories, i.e., “Car”, “Building”, “Mountain”, “Farm” and “Coast”. This classification is performed without any segmentation processes. To verify the learning capabilities of the proposed method, we compare our MSNN model with ... إقراء المزيد

The Potentials of Satellite Images for Map Updating with Emphasizes on Egypt Sat-1 Images

2018-09-02 12:53:01 الكلمات المفتاحية Egypt Sat-1, Information Content, Feature Extraction, Map Revision.,
The Potentials of Satellite Images for Map Updating with Emphasizes on Egypt Sat-1 Images
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 The main problem is the rapid development of urban areas, so that maps are out of date very fast.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 ... إقراء المزيد

The Optimal Method for Classifying High Resolution Satellite Images in EGYPT Environment

2018-09-02 12:55:03 الكلمات المفتاحية Egypt Sat-1, Information Content, Feature Extraction, Map Revision., Pixel-based analysis, Object-based analysis, Classification, Segmentation.,
The Optimal Method for Classifying High Resolution Satellite Images in EGYPT Environment
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 classification has been used. Currently, a recent classification ... إقراء المزيد

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