Support subspaces method for synthetic aperture radar automatic target recognition
This article offers a new object recognition approach that gives high quality using synthetic aperture radar images. The approach includes image preprocessing, clustering and recognition stages. At the image preprocessing stage, we compute the mass centre of object images for better image matching....
Main Authors: | , , |
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Format: | Article |
Language: | English |
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SAGE Publishing
2016-09-01
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Series: | International Journal of Advanced Robotic Systems |
Online Access: | https://doi.org/10.1177/1729881416664848 |
_version_ | 1818147368978087936 |
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author | Vladimir Fursov Denis Zherdev Nikolay Kazanskiy |
author_facet | Vladimir Fursov Denis Zherdev Nikolay Kazanskiy |
author_sort | Vladimir Fursov |
collection | DOAJ |
description | This article offers a new object recognition approach that gives high quality using synthetic aperture radar images. The approach includes image preprocessing, clustering and recognition stages. At the image preprocessing stage, we compute the mass centre of object images for better image matching. A conjugation index of a recognition vector is used as a distance function at clustering and recognition stages. We suggest a construction of the so-called support subspaces, which provide high recognition quality with a significant dimension reduction. The results of the experiments demonstrate that the proposed method provides higher recognition quality (97.8%) than such methods as support vector machine (95.9%), deep learning based on multilayer auto-encoder (96.6%) and adaptive boosting (96.1%). The proposed method is stable for objects processed from different angles. |
first_indexed | 2024-12-11T12:34:09Z |
format | Article |
id | doaj.art-bec5478362164fb3a40516c4b5dda124 |
institution | Directory Open Access Journal |
issn | 1729-8814 |
language | English |
last_indexed | 2024-12-11T12:34:09Z |
publishDate | 2016-09-01 |
publisher | SAGE Publishing |
record_format | Article |
series | International Journal of Advanced Robotic Systems |
spelling | doaj.art-bec5478362164fb3a40516c4b5dda1242022-12-22T01:07:10ZengSAGE PublishingInternational Journal of Advanced Robotic Systems1729-88142016-09-011310.1177/172988141666484810.1177_1729881416664848Support subspaces method for synthetic aperture radar automatic target recognitionVladimir FursovDenis ZherdevNikolay KazanskiyThis article offers a new object recognition approach that gives high quality using synthetic aperture radar images. The approach includes image preprocessing, clustering and recognition stages. At the image preprocessing stage, we compute the mass centre of object images for better image matching. A conjugation index of a recognition vector is used as a distance function at clustering and recognition stages. We suggest a construction of the so-called support subspaces, which provide high recognition quality with a significant dimension reduction. The results of the experiments demonstrate that the proposed method provides higher recognition quality (97.8%) than such methods as support vector machine (95.9%), deep learning based on multilayer auto-encoder (96.6%) and adaptive boosting (96.1%). The proposed method is stable for objects processed from different angles.https://doi.org/10.1177/1729881416664848 |
spellingShingle | Vladimir Fursov Denis Zherdev Nikolay Kazanskiy Support subspaces method for synthetic aperture radar automatic target recognition International Journal of Advanced Robotic Systems |
title | Support subspaces method for synthetic aperture radar automatic target recognition |
title_full | Support subspaces method for synthetic aperture radar automatic target recognition |
title_fullStr | Support subspaces method for synthetic aperture radar automatic target recognition |
title_full_unstemmed | Support subspaces method for synthetic aperture radar automatic target recognition |
title_short | Support subspaces method for synthetic aperture radar automatic target recognition |
title_sort | support subspaces method for synthetic aperture radar automatic target recognition |
url | https://doi.org/10.1177/1729881416664848 |
work_keys_str_mv | AT vladimirfursov supportsubspacesmethodforsyntheticapertureradarautomatictargetrecognition AT deniszherdev supportsubspacesmethodforsyntheticapertureradarautomatictargetrecognition AT nikolaykazanskiy supportsubspacesmethodforsyntheticapertureradarautomatictargetrecognition |