Imperial College London
Dr Panagiota (Tania) Stathaki

Dr Panagiota (Tania) Stathaki

Faculty of Engineering, Department of Electrical and Electronic Engineering

Reader in Signal Processing
 
 
 
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Contact

 

+44 (0)20 7594 6229t.stathaki Website

 
 
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Assistant

 

Miss Vanessa Rodriguez-Gonzalez +44 (0)20 7594 6267

 
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Location

 

812Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Stathaki:2018:10.1109/TAES.2017.2732832,
author = {Stathaki, P and ElMikaty, M},
doi = {10.1109/TAES.2017.2732832},
journal = {IEEE Transactions on Aerospace and Electronic Systems},
pages = {51--63},
title = {Car detection in aerial images of dense urban areas},
url = {http://dx.doi.org/10.1109/TAES.2017.2732832},
volume = {54},
year = {2018}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - With the ever-increasing demand in the analysis and understanding of aerial images in order to remotely recognise targets, this paper introduces a robust system for the detection and localisation of cars in images captured by air vehicles and satellites. The system adopts a sliding-window approach. It compromises a window-evaluation and a window-classification sub-systems. The performance of the proposed framework was evaluated on the Vaihingen dataset. Results demonstrate its superiority to the state of the art.
AU  - Stathaki,P
AU  - ElMikaty,M
DO  - 10.1109/TAES.2017.2732832
EP  - 63
PY  - 2018///
SN  - 0018-9251
SP  - 51
TI  - Car detection in aerial images of dense urban areas
T2  - IEEE Transactions on Aerospace and Electronic Systems
UR  - http://dx.doi.org/10.1109/TAES.2017.2732832
UR  - https://ieeexplore.ieee.org/document/7994611
UR  - http://hdl.handle.net/10044/1/50103
VL  - 54
ER  -
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