[PDF][PDF] A Review of Ground Target Detection and Classification Techniques in Forward Scattering Radars.
MEA Kanona, MG Hamza, AG Hassan… - … Technology & Applied …, 2018 - researchgate.net
This paper presents a review of target detection and classification in forward scattering radar
(FSR) which is a special state of bistatic radars, designed to detect and track moving targets …
(FSR) which is a special state of bistatic radars, designed to detect and track moving targets …
A machine learning based vehicle classification in forward scattering radar
The Forward scattering radars (FSRs) are special types of Bistatic radars in which detected
targets should exist in the narrow baseline to obtain their tracking at an angle of 180 degree …
targets should exist in the narrow baseline to obtain their tracking at an angle of 180 degree …
Performance analysis of hybrid pre-processing techniques of ground target classification in FSR using neural network
MEA Kanona, AM Ahmed, ME Mirghani… - 2020 International …, 2021 - ieeexplore.ieee.org
This paper presents an enhanced pattern recognition neural network classifier for ground
target classification in FSR. The hybrid enhanced model is based on a different combination …
target classification in FSR. The hybrid enhanced model is based on a different combination …
[PDF][PDF] A Machine Learning Based Vehicle Classification in Forward Scattering Radar
YA HAMDALLA, OM OSMAN, AMO AHMED - academia.edu
ABSTRACT The Forward scattering radars (FSRs) are special types of Bistatic radars in
which detected targets should exist in the narrow baseline to obtain their tracking at an …
which detected targets should exist in the narrow baseline to obtain their tracking at an …