Automatic identification of satellite features from Inverse Synthetic Aperture Radar (ISAR) images
Automatic identification of satellite features from Inverse Synthetic Aperture Radar (ISAR) images
Inverse Synthetic Aperture Radar (ISAR) images are a popular and effective tool used in the modern age to identify moving targets, particularly in the airborne and space arenas. Much research has been undertaken on the automatic recognition of targets in this area, applying computer vision algorithms to the two dimensional image maps produced when measuring targets via this method. In this document we discuss an on-going programme of work to fully automate space target recognition, and specifically here outline a methodology proposed for automating the identification of specific features of space targets, in order to aid the confidence of an operator making the final decisions. Large scale results are still currently being collected for the project.
149-150
Begg, Andrew
2a54e5c4-376c-4f19-9224-5ea4a17ae787
Rogers, Eric
611b1de0-c505-472e-a03f-c5294c63bb72
Chu, Bing
555a86a5-0198-4242-8525-3492349d4f0f
Cai, Xiaohao
de483445-45e9-4b21-a4e8-b0427fc72cee
22 May 2024
Begg, Andrew
2a54e5c4-376c-4f19-9224-5ea4a17ae787
Rogers, Eric
611b1de0-c505-472e-a03f-c5294c63bb72
Chu, Bing
555a86a5-0198-4242-8525-3492349d4f0f
Cai, Xiaohao
de483445-45e9-4b21-a4e8-b0427fc72cee
Begg, Andrew, Rogers, Eric, Chu, Bing and Cai, Xiaohao
(2024)
Automatic identification of satellite features from Inverse Synthetic Aperture Radar (ISAR) images.
In 2024 UKACC 14th International Conference on Control (CONTROL).
IEEE.
.
(doi:10.1109/CONTROL60310.2024.10532050).
Record type:
Conference or Workshop Item
(Paper)
Abstract
Inverse Synthetic Aperture Radar (ISAR) images are a popular and effective tool used in the modern age to identify moving targets, particularly in the airborne and space arenas. Much research has been undertaken on the automatic recognition of targets in this area, applying computer vision algorithms to the two dimensional image maps produced when measuring targets via this method. In this document we discuss an on-going programme of work to fully automate space target recognition, and specifically here outline a methodology proposed for automating the identification of specific features of space targets, in order to aid the confidence of an operator making the final decisions. Large scale results are still currently being collected for the project.
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Published date: 22 May 2024
Venue - Dates:
14th UKACC International Conference on Control, CONTROL 2024, , Winchester, United Kingdom, 2024-04-10 - 2024-04-12
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Local EPrints ID: 491922
URI: http://eprints.soton.ac.uk/id/eprint/491922
PURE UUID: 919de8e2-7e81-4561-a3a8-cf719675694f
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Date deposited: 08 Jul 2024 16:53
Last modified: 24 Jul 2024 02:00
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