Multi-Level Features Extraction for Discontinuous Target Tracking in Remote Sensing Image Monitoring
Many techniques have been developed for computer vision in the past years. Features extraction and matching are the basis of many high-level applications. In this paper, we propose a multi-level features extraction for discontinuous target tracking in remote sensing image monitoring. The features of...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2019-11-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/19/22/4855 |
| _version_ | 1811187664811982848 |
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| author | Bin Zhou Xuemei Duan Dongjun Ye Wei Wei Marcin Woźniak Dawid Połap Robertas Damaševičius |
| author_facet | Bin Zhou Xuemei Duan Dongjun Ye Wei Wei Marcin Woźniak Dawid Połap Robertas Damaševičius |
| author_sort | Bin Zhou |
| collection | DOAJ |
| description | Many techniques have been developed for computer vision in the past years. Features extraction and matching are the basis of many high-level applications. In this paper, we propose a multi-level features extraction for discontinuous target tracking in remote sensing image monitoring. The features of the reference image are pre-extracted at different levels. The first-level features are used to roughly check the candidate targets and other levels are used for refined matching. With Gaussian weight function introduced, the support of matching features is accumulated to make a final decision. Adaptive neighborhood and principal component analysis are used to improve the description of the feature. Experimental results verify the efficiency and accuracy of the proposed method. |
| first_indexed | 2024-04-11T14:07:12Z |
| format | Article |
| id | doaj.art-9af6e98dd1434ae280664c7b0de8dbf5 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T14:07:12Z |
| publishDate | 2019-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-9af6e98dd1434ae280664c7b0de8dbf52022-12-22T04:19:51ZengMDPI AGSensors1424-82202019-11-011922485510.3390/s19224855s19224855Multi-Level Features Extraction for Discontinuous Target Tracking in Remote Sensing Image MonitoringBin Zhou0Xuemei Duan1Dongjun Ye2Wei Wei3Marcin Woźniak4Dawid Połap5Robertas Damaševičius6School of Sciences, Southwest Petroleum University, Chengdu 610500, ChinaSchool of Sciences, Southwest Petroleum University, Chengdu 610500, ChinaSchool of Sciences, Southwest Petroleum University, Chengdu 610500, ChinaSchool of Computer Science and Engineering, Xi’an University of Technology, Xi’an 710048, ChinaInstitute of Mathematics, Silesian University of Technology, 44-100 Gliwice, PolandInstitute of Mathematics, Silesian University of Technology, 44-100 Gliwice, PolandInstitute of Mathematics, Silesian University of Technology, 44-100 Gliwice, PolandMany techniques have been developed for computer vision in the past years. Features extraction and matching are the basis of many high-level applications. In this paper, we propose a multi-level features extraction for discontinuous target tracking in remote sensing image monitoring. The features of the reference image are pre-extracted at different levels. The first-level features are used to roughly check the candidate targets and other levels are used for refined matching. With Gaussian weight function introduced, the support of matching features is accumulated to make a final decision. Adaptive neighborhood and principal component analysis are used to improve the description of the feature. Experimental results verify the efficiency and accuracy of the proposed method.https://www.mdpi.com/1424-8220/19/22/4855featuretrackingwmsnsmatchingweightmulti-level |
| spellingShingle | Bin Zhou Xuemei Duan Dongjun Ye Wei Wei Marcin Woźniak Dawid Połap Robertas Damaševičius Multi-Level Features Extraction for Discontinuous Target Tracking in Remote Sensing Image Monitoring Sensors feature tracking wmsns matching weight multi-level |
| title | Multi-Level Features Extraction for Discontinuous Target Tracking in Remote Sensing Image Monitoring |
| title_full | Multi-Level Features Extraction for Discontinuous Target Tracking in Remote Sensing Image Monitoring |
| title_fullStr | Multi-Level Features Extraction for Discontinuous Target Tracking in Remote Sensing Image Monitoring |
| title_full_unstemmed | Multi-Level Features Extraction for Discontinuous Target Tracking in Remote Sensing Image Monitoring |
| title_short | Multi-Level Features Extraction for Discontinuous Target Tracking in Remote Sensing Image Monitoring |
| title_sort | multi level features extraction for discontinuous target tracking in remote sensing image monitoring |
| topic | feature tracking wmsns matching weight multi-level |
| url | https://www.mdpi.com/1424-8220/19/22/4855 |
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