Change Detection for High-Resolution Drone-Borne SAR at High Frequencies - First Results

Ali Bekar; Michail Antoniou; Christopher J. Baker

doi:10.1109/RadarConf2351548.2023.10149798

Change Detection for High-Resolution Drone-Borne SAR at High Frequencies - First Results

Ali Bekar, Michail Antoniou^*, Christopher J. Baker

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper presents initial results of SAR imaging and change detection for a high-resolution (6×30cm), short-range drone-borne radar system. A novel hybrid approach to change detection is developed using the main SAR system parameters of altitude, look angle, and range to the scene center. These are used to determine the derived change detection sensitivity and to identify and quantify image decorrelation, a basic measure of change detection performance. An overview of the algorithm developed to generate incoherent/coherent change maps is also presented. In order to examine this approach to change detection on a practical basis, a high-resolution 24 GHz drone-borne SAR system is used, for the first time, to demonstrate and quantify performance based on real-world experiments.

Original language	English
Title of host publication	2023 IEEE Radar Conference (RadarConf23)
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
ISBN (Electronic)	9781665436694
ISBN (Print)	9781665436700 (PoD)
DOIs	https://doi.org/10.1109/RadarConf2351548.2023.10149798
Publication status	Published - 21 Jun 2023
Event	2023 IEEE Radar Conference, RadarConf23 - San Antonia, United States Duration: 1 May 2023 → 5 May 2023

Publication series

Name	Proceedings of the IEEE Radar Conference
Publisher	IEEE
ISSN (Print)	1097-5764
ISSN (Electronic)	2375-5318

Conference

Conference	2023 IEEE Radar Conference, RadarConf23
Country/Territory	United States
City	San Antonia
Period	1/05/23 → 5/05/23

Bibliographical note

Funding Information:
1 is supported by Republic of Turkey, Ministry of National Education.

Publisher Copyright:
© 2023 IEEE.

Keywords

Change detection
Drone SAR
mini-UAV SAR
Synthetic aperture radar

ASJC Scopus subject areas

Computer Networks and Communications
Signal Processing
Instrumentation

Access to Document

10.1109/RadarConf2351548.2023.10149798

Cite this

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title = "Change Detection for High-Resolution Drone-Borne SAR at High Frequencies - First Results",

abstract = "This paper presents initial results of SAR imaging and change detection for a high-resolution (6×30cm), short-range drone-borne radar system. A novel hybrid approach to change detection is developed using the main SAR system parameters of altitude, look angle, and range to the scene center. These are used to determine the derived change detection sensitivity and to identify and quantify image decorrelation, a basic measure of change detection performance. An overview of the algorithm developed to generate incoherent/coherent change maps is also presented. In order to examine this approach to change detection on a practical basis, a high-resolution 24 GHz drone-borne SAR system is used, for the first time, to demonstrate and quantify performance based on real-world experiments.",

keywords = "Change detection, Drone SAR, mini-UAV SAR, Synthetic aperture radar",

author = "Ali Bekar and Michail Antoniou and Baker, {Christopher J.}",

note = "Funding Information: 1 is supported by Republic of Turkey, Ministry of National Education. Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE Radar Conference, RadarConf23 ; Conference date: 01-05-2023 Through 05-05-2023",

year = "2023",

month = jun,

day = "21",

doi = "10.1109/RadarConf2351548.2023.10149798",

language = "English",

isbn = "9781665436700 (PoD)",

series = "Proceedings of the IEEE Radar Conference",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

booktitle = "2023 IEEE Radar Conference (RadarConf23)",

}

Bekar, A, Antoniou, M & Baker, CJ 2023, Change Detection for High-Resolution Drone-Borne SAR at High Frequencies - First Results. in 2023 IEEE Radar Conference (RadarConf23). Proceedings of the IEEE Radar Conference, Institute of Electrical and Electronics Engineers (IEEE), 2023 IEEE Radar Conference, RadarConf23, San Antonia, United States, 1/05/23. https://doi.org/10.1109/RadarConf2351548.2023.10149798

Change Detection for High-Resolution Drone-Borne SAR at High Frequencies - First Results. / Bekar, Ali; Antoniou, Michail; Baker, Christopher J.
2023 IEEE Radar Conference (RadarConf23). Institute of Electrical and Electronics Engineers (IEEE), 2023. (Proceedings of the IEEE Radar Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - Change Detection for High-Resolution Drone-Borne SAR at High Frequencies - First Results

AU - Bekar, Ali

AU - Antoniou, Michail

AU - Baker, Christopher J.

PY - 2023/6/21

Y1 - 2023/6/21

N2 - This paper presents initial results of SAR imaging and change detection for a high-resolution (6×30cm), short-range drone-borne radar system. A novel hybrid approach to change detection is developed using the main SAR system parameters of altitude, look angle, and range to the scene center. These are used to determine the derived change detection sensitivity and to identify and quantify image decorrelation, a basic measure of change detection performance. An overview of the algorithm developed to generate incoherent/coherent change maps is also presented. In order to examine this approach to change detection on a practical basis, a high-resolution 24 GHz drone-borne SAR system is used, for the first time, to demonstrate and quantify performance based on real-world experiments.

AB - This paper presents initial results of SAR imaging and change detection for a high-resolution (6×30cm), short-range drone-borne radar system. A novel hybrid approach to change detection is developed using the main SAR system parameters of altitude, look angle, and range to the scene center. These are used to determine the derived change detection sensitivity and to identify and quantify image decorrelation, a basic measure of change detection performance. An overview of the algorithm developed to generate incoherent/coherent change maps is also presented. In order to examine this approach to change detection on a practical basis, a high-resolution 24 GHz drone-borne SAR system is used, for the first time, to demonstrate and quantify performance based on real-world experiments.

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KW - Drone SAR

KW - mini-UAV SAR

KW - Synthetic aperture radar

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M3 - Conference contribution

AN - SCOPUS:85163764719

SN - 9781665436700 (PoD)

T3 - Proceedings of the IEEE Radar Conference

BT - 2023 IEEE Radar Conference (RadarConf23)

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - 2023 IEEE Radar Conference, RadarConf23

Y2 - 1 May 2023 through 5 May 2023

ER -

Change Detection for High-Resolution Drone-Borne SAR at High Frequencies - First Results

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this