Novel Spatiotemporal Filter for Dim Point Targets Detection in Infrared Image Sequences
Dim point target detection is of great importance in both civil and military fields. In this paper a novel spatiotemporal filter is proposed to incorporate both the spatial and temporal features of moving dim point targets. Since targets are expected to be detected as far as possible, in this situat...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2015-01-01
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| Series: | Journal of Electrical and Computer Engineering |
| Online Access: | http://dx.doi.org/10.1155/2015/923469 |
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| _version_ | 1850230844503883776 |
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| author | Zhaohui Li Xiaorui Wang Jianqi Zhang Delian Liu |
| author_facet | Zhaohui Li Xiaorui Wang Jianqi Zhang Delian Liu |
| author_sort | Zhaohui Li |
| collection | DOAJ |
| description | Dim point target detection is of great importance in both civil and military fields. In this paper a novel spatiotemporal filter is proposed to incorporate both the spatial and temporal features of moving dim point targets. Since targets are expected to be detected as far as possible, in this situation, they have no texture features in spatial dimensions, appearing like isolated points. Based on the attributes, potential targets are extracted by searching the local maximum point in a sliding window. And the potential targets are then correlated based on target moving patterns. After combining local maximum points and target moving patterns, structure background in infrared scene is removed. Next, the temporal profiles of infrared sense are reviewed and examined. By a new max-median filter performing on temporal profiles, the intensity of target pulse signal is extracted. Finally, each temporal profile is divided into several pieces to estimate the variance of the temporal profiles, which leads to a new detection metric. The proposed approach is tested via several infrared image sequences. The results show that our proposed method can significantly reduce the complex background in aerial infrared image sequence and have a good detection performance. |
| format | Article |
| id | doaj-art-0b5a043f0c52410f8268cdeabc6c110c |
| institution | OA Journals |
| issn | 2090-0147 2090-0155 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Electrical and Computer Engineering |
| spelling | doaj-art-0b5a043f0c52410f8268cdeabc6c110c2025-08-20T02:03:43ZengWileyJournal of Electrical and Computer Engineering2090-01472090-01552015-01-01201510.1155/2015/923469923469Novel Spatiotemporal Filter for Dim Point Targets Detection in Infrared Image SequencesZhaohui Li0Xiaorui Wang1Jianqi Zhang2Delian Liu3School of Physics and Optoelectronic Engineering, Xidian University, Xi’an, Shaanxi 710071, ChinaSchool of Physics and Optoelectronic Engineering, Xidian University, Xi’an, Shaanxi 710071, ChinaSchool of Physics and Optoelectronic Engineering, Xidian University, Xi’an, Shaanxi 710071, ChinaSchool of Physics and Optoelectronic Engineering, Xidian University, Xi’an, Shaanxi 710071, ChinaDim point target detection is of great importance in both civil and military fields. In this paper a novel spatiotemporal filter is proposed to incorporate both the spatial and temporal features of moving dim point targets. Since targets are expected to be detected as far as possible, in this situation, they have no texture features in spatial dimensions, appearing like isolated points. Based on the attributes, potential targets are extracted by searching the local maximum point in a sliding window. And the potential targets are then correlated based on target moving patterns. After combining local maximum points and target moving patterns, structure background in infrared scene is removed. Next, the temporal profiles of infrared sense are reviewed and examined. By a new max-median filter performing on temporal profiles, the intensity of target pulse signal is extracted. Finally, each temporal profile is divided into several pieces to estimate the variance of the temporal profiles, which leads to a new detection metric. The proposed approach is tested via several infrared image sequences. The results show that our proposed method can significantly reduce the complex background in aerial infrared image sequence and have a good detection performance.http://dx.doi.org/10.1155/2015/923469 |
| spellingShingle | Zhaohui Li Xiaorui Wang Jianqi Zhang Delian Liu Novel Spatiotemporal Filter for Dim Point Targets Detection in Infrared Image Sequences Journal of Electrical and Computer Engineering |
| title | Novel Spatiotemporal Filter for Dim Point Targets Detection in Infrared Image Sequences |
| title_full | Novel Spatiotemporal Filter for Dim Point Targets Detection in Infrared Image Sequences |
| title_fullStr | Novel Spatiotemporal Filter for Dim Point Targets Detection in Infrared Image Sequences |
| title_full_unstemmed | Novel Spatiotemporal Filter for Dim Point Targets Detection in Infrared Image Sequences |
| title_short | Novel Spatiotemporal Filter for Dim Point Targets Detection in Infrared Image Sequences |
| title_sort | novel spatiotemporal filter for dim point targets detection in infrared image sequences |
| url | http://dx.doi.org/10.1155/2015/923469 |
| work_keys_str_mv | AT zhaohuili novelspatiotemporalfilterfordimpointtargetsdetectionininfraredimagesequences AT xiaoruiwang novelspatiotemporalfilterfordimpointtargetsdetectionininfraredimagesequences AT jianqizhang novelspatiotemporalfilterfordimpointtargetsdetectionininfraredimagesequences AT delianliu novelspatiotemporalfilterfordimpointtargetsdetectionininfraredimagesequences |