samy.bakheet

Dr.-Ing. Samy Sadek

Assistant Professor - Neuro-IT (Artificial Vision), Vice-Dean for Graduate Studies and Research

Faculty of Computers and Information

Address: P. O Box 82533 Sohag, Egypt

1793

Like
9 7 8 29 3 9 68.1K 953
192

Newly Added
  • Courses 9
  • Course Supplements 7
  • Courses Tasks 8
  • Publications 29
  • Office hours 3
  • Announcements 9
  • File uploaded 5
  • Downloaded Times 12

Publications Which contain the keyword: Feature Extraction

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

2018-09-04 21:04:58 Keywords 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 ... Read more

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

2018-09-02 12:53:01 Keywords 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 The main problem is the rapid development of urban areas, so that maps are out of date very fast.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 ... Read more

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

2018-09-02 12:55:03 Keywords 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 ... Read more

  • «
  • 1
  • »