A Feature-Level Fusion-Based Target Localization Method with the Hough Transform for Spatial Feature Extraction
Traditional two-step localization methods and direct localization methods have practical problems when they are used for underwater acoustic source localization. In this paper, a localization method based on the feature-level information fusion is proposed, in which the Hough Transform is exploited...
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MDPI AG
2023-04-01
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Series: | Remote Sensing |
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Online Access: | https://www.mdpi.com/2072-4292/15/8/2121 |
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author | Lu Wang Shiliang Fang Yixin Yang Xionghou Liu Mengyuan Wang |
author_facet | Lu Wang Shiliang Fang Yixin Yang Xionghou Liu Mengyuan Wang |
author_sort | Lu Wang |
collection | DOAJ |
description | Traditional two-step localization methods and direct localization methods have practical problems when they are used for underwater acoustic source localization. In this paper, a localization method based on the feature-level information fusion is proposed, in which the Hough Transform is exploited to detect the line characteristics of the spatial features of the target. A secondary accumulation procedure is proposed to extract and fuse the good features instead of fusing all features. The possibility to produce a ghost target is greatly reduced. Hence, the robustness of the proposed method in low SNR scenarios is improved. Experimental results validate the efficiency of exploiting the Hough Transform to eliminate interfering spatial features without sacrificing the localization accuracy. |
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format | Article |
id | doaj.art-18bd124f003743a5b84972f828ffb697 |
institution | Directory Open Access Journal |
issn | 2072-4292 |
language | English |
last_indexed | 2024-03-11T04:33:42Z |
publishDate | 2023-04-01 |
publisher | MDPI AG |
record_format | Article |
series | Remote Sensing |
spelling | doaj.art-18bd124f003743a5b84972f828ffb6972023-11-17T21:12:20ZengMDPI AGRemote Sensing2072-42922023-04-01158212110.3390/rs15082121A Feature-Level Fusion-Based Target Localization Method with the Hough Transform for Spatial Feature ExtractionLu Wang0Shiliang Fang1Yixin Yang2Xionghou Liu3Mengyuan Wang4Key Laboratory of Underwater Acoustic Signal Processing of Ministry of Education, Southeast University, Nanjing 210096, ChinaKey Laboratory of Underwater Acoustic Signal Processing of Ministry of Education, Southeast University, Nanjing 210096, ChinaSchool of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, ChinaSchool of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, ChinaState Key Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, ChinaTraditional two-step localization methods and direct localization methods have practical problems when they are used for underwater acoustic source localization. In this paper, a localization method based on the feature-level information fusion is proposed, in which the Hough Transform is exploited to detect the line characteristics of the spatial features of the target. A secondary accumulation procedure is proposed to extract and fuse the good features instead of fusing all features. The possibility to produce a ghost target is greatly reduced. Hence, the robustness of the proposed method in low SNR scenarios is improved. Experimental results validate the efficiency of exploiting the Hough Transform to eliminate interfering spatial features without sacrificing the localization accuracy.https://www.mdpi.com/2072-4292/15/8/2121source localizationmultiple arrayshough transformfeature extraction |
spellingShingle | Lu Wang Shiliang Fang Yixin Yang Xionghou Liu Mengyuan Wang A Feature-Level Fusion-Based Target Localization Method with the Hough Transform for Spatial Feature Extraction Remote Sensing source localization multiple arrays hough transform feature extraction |
title | A Feature-Level Fusion-Based Target Localization Method with the Hough Transform for Spatial Feature Extraction |
title_full | A Feature-Level Fusion-Based Target Localization Method with the Hough Transform for Spatial Feature Extraction |
title_fullStr | A Feature-Level Fusion-Based Target Localization Method with the Hough Transform for Spatial Feature Extraction |
title_full_unstemmed | A Feature-Level Fusion-Based Target Localization Method with the Hough Transform for Spatial Feature Extraction |
title_short | A Feature-Level Fusion-Based Target Localization Method with the Hough Transform for Spatial Feature Extraction |
title_sort | feature level fusion based target localization method with the hough transform for spatial feature extraction |
topic | source localization multiple arrays hough transform feature extraction |
url | https://www.mdpi.com/2072-4292/15/8/2121 |
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