Ship detection optimization method in SAR imagery based on multi-feature weighting
Aiming at the problem that the accuracy of traditional ship detection algorithms is not satisfying in complex scene with many false alarm targets,a ship detection optimization method in SAR imagery based on multi-feature weighting was proposed.Firstly,the marker-based watershed algorithm was employe...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2020-03-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020013/ |
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| _version_ | 1841539375785050112 |
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| author | Quanhua ZHAO Xiao WANG Yu LI Guanghui WANG |
| author_facet | Quanhua ZHAO Xiao WANG Yu LI Guanghui WANG |
| author_sort | Quanhua ZHAO |
| collection | DOAJ |
| description | Aiming at the problem that the accuracy of traditional ship detection algorithms is not satisfying in complex scene with many false alarm targets,a ship detection optimization method in SAR imagery based on multi-feature weighting was proposed.Firstly,the marker-based watershed algorithm was employed to remove land from SAR amplitude image.Then,the CFAR algorithm based on log-normal distribution was used to obtain candidate targets from no land image.Furthermore,the length to width ratio,the ship area and the contrast ratio of the candidate targets were extracted.Finally,a variance coefficient method was proposed to distribute the weight of the three features,and the confidence levels were calculated by combining the normalized feature vectors of the candidate targets with the feature weight.By determining the best confidence level,false alarm targets among the candidate targets were removed to optimize ship detection results.In order to verify the proposed method,experiments were carried on with the GF-3 SAR images of different complex scenes.The experimental results show that the proposed method is feasible and effective. |
| format | Article |
| id | doaj-art-b1df0595551a472c9f24ffffd31f0fa4 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2020-03-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-b1df0595551a472c9f24ffffd31f0fa42025-01-14T07:18:44ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2020-03-01419110159733700Ship detection optimization method in SAR imagery based on multi-feature weightingQuanhua ZHAOXiao WANGYu LIGuanghui WANGAiming at the problem that the accuracy of traditional ship detection algorithms is not satisfying in complex scene with many false alarm targets,a ship detection optimization method in SAR imagery based on multi-feature weighting was proposed.Firstly,the marker-based watershed algorithm was employed to remove land from SAR amplitude image.Then,the CFAR algorithm based on log-normal distribution was used to obtain candidate targets from no land image.Furthermore,the length to width ratio,the ship area and the contrast ratio of the candidate targets were extracted.Finally,a variance coefficient method was proposed to distribute the weight of the three features,and the confidence levels were calculated by combining the normalized feature vectors of the candidate targets with the feature weight.By determining the best confidence level,false alarm targets among the candidate targets were removed to optimize ship detection results.In order to verify the proposed method,experiments were carried on with the GF-3 SAR images of different complex scenes.The experimental results show that the proposed method is feasible and effective.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020013/synthetic aperture radarship detectionlog-normal distributionconstant false alarm rateweight allocation |
| spellingShingle | Quanhua ZHAO Xiao WANG Yu LI Guanghui WANG Ship detection optimization method in SAR imagery based on multi-feature weighting Tongxin xuebao synthetic aperture radar ship detection log-normal distribution constant false alarm rate weight allocation |
| title | Ship detection optimization method in SAR imagery based on multi-feature weighting |
| title_full | Ship detection optimization method in SAR imagery based on multi-feature weighting |
| title_fullStr | Ship detection optimization method in SAR imagery based on multi-feature weighting |
| title_full_unstemmed | Ship detection optimization method in SAR imagery based on multi-feature weighting |
| title_short | Ship detection optimization method in SAR imagery based on multi-feature weighting |
| title_sort | ship detection optimization method in sar imagery based on multi feature weighting |
| topic | synthetic aperture radar ship detection log-normal distribution constant false alarm rate weight allocation |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020013/ |
| work_keys_str_mv | AT quanhuazhao shipdetectionoptimizationmethodinsarimagerybasedonmultifeatureweighting AT xiaowang shipdetectionoptimizationmethodinsarimagerybasedonmultifeatureweighting AT yuli shipdetectionoptimizationmethodinsarimagerybasedonmultifeatureweighting AT guanghuiwang shipdetectionoptimizationmethodinsarimagerybasedonmultifeatureweighting |