• Jul 03, 2017 News!Good News! Since 2017, IJMLC has been indexed by Scopus!
  • Nov 14, 2017 News!Vol.7, No.5 has been published with online version.   [Click]
  • Aug 15, 2017 News![CFP] 2017 the annual meeting of IJMLC Editorial Board, ACMLC 2017, will be held in Singapore, December 8-10, 2017   [Click]
Search
General Information
Editor-in-chief
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.
IJMLC 2011 Vol.1(5): 427-434 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2011.V1.64

Ground Targets Recognition from Flying Vehicles using Camera/SAR Imaging Systems

Alaa El-Din Sayed Hafez, Wiedo Hu, and Ahmed Mohamed Gharyb

Abstract—This paper proposes a ground targets recognition system for flying vehicles using Camera/Synthetic Aperture Radar (SAR) imaging systems. The proposed method is an image processing technique to improve the precision of the INS for detecting and tracking the ground objects from flying vehicles. Template matching is one of the methods used for ground object detection and tracking. Synthetic Aperture Radar (SAR) is also used as ground object detection with ATR technique. Robust and reliable object detection is a critical step of object recognition. Our focus is on flying systems equipped with camera and SAR to capture photos for the ground and recognize it. SAR is a type of imaging radar in which the relative movement of the antenna with respect to the target is utilized. Through the simultaneous processing of the radar reflections over the movement of the antenna via the Range Doppler Algorithm (RDA). The proposed method is independent on the altitude or the orientation of the object. The algorithm is simulated using Matlab program and the numerical experiments are shown which verify the object detection for a wide range altitude and orientation. The results show superiority of this method for identifying and recognizing the ground objects.

Index Terms—INS. Template Match, SAR, ATR

AAlaa El-Din Sayed Hafez is with Electrical engineering Department, Alexandria University, Alexandria, Egypt (email: alaahafez@ ieee.org).
Wiedo Hu is with Beijing University of Aeronautics & Astronautics, China (e-mail: weiduo.hu@gmail.com). Ahmed Mohamed Gharuib is with Beijing University of Aeronautics & Astronautics, Egypt (email: ahmedgharyb@gmail.com).

[PDF]

Cite: Alaa El-Din Sayed Hafez, Wiedo Hu, and Ahmed Mohamed Gharyb, "Ground Targets Recognition from Flying Vehicles using Camera/SAR Imaging Systems," International Journal of Machine Learning and Computing vol. 1, no. 5, pp. 427-434, 2011.

Copyright © 2008-2015. International Journal of Machine Learning and Computing. All rights reserved.
E-mail: ijmlc@ejournal.net