Dim and Small Target Detection Based on Local Energy Aggregation Degree of Sequence Images
In order to improve the detection ability of dim and small targets in dynamic scenes, this paper first proposes an anisotropic gradient background modeling method combined with spatial and temporal information and then uses the multidirectional gradient maximum of neighborhood blocks to segment the...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2019-01-01
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| Series: | International Journal of Optics |
| Online Access: | http://dx.doi.org/10.1155/2019/9282141 |
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| _version_ | 1849683622118817792 |
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| author | Fan Xiangsuo Xu Zhiyong |
| author_facet | Fan Xiangsuo Xu Zhiyong |
| author_sort | Fan Xiangsuo |
| collection | DOAJ |
| description | In order to improve the detection ability of dim and small targets in dynamic scenes, this paper first proposes an anisotropic gradient background modeling method combined with spatial and temporal information and then uses the multidirectional gradient maximum of neighborhood blocks to segment the difference maps. On the basis of previous background modeling and segmentation extraction candidate targets, a dim small target detection algorithm for local energy aggregation degree of sequence images is proposed. Experiments show that compared with the traditional algorithm, this method can eliminate the interference of noise to the target and improve the detection ability of the system effectively. |
| format | Article |
| id | doaj-art-d48defdcdc10470bab5ed157e8fab27a |
| institution | DOAJ |
| issn | 1687-9384 1687-9392 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Optics |
| spelling | doaj-art-d48defdcdc10470bab5ed157e8fab27a2025-08-20T03:23:47ZengWileyInternational Journal of Optics1687-93841687-93922019-01-01201910.1155/2019/92821419282141Dim and Small Target Detection Based on Local Energy Aggregation Degree of Sequence ImagesFan Xiangsuo0Xu Zhiyong1School of Electrical and Information Engineering, Guangxi University of Science and Technology, Liuzhou 545006, ChinaInstitute of Optics and Electronics Chinese Academy of Sciences, Chengdu 610209, ChinaIn order to improve the detection ability of dim and small targets in dynamic scenes, this paper first proposes an anisotropic gradient background modeling method combined with spatial and temporal information and then uses the multidirectional gradient maximum of neighborhood blocks to segment the difference maps. On the basis of previous background modeling and segmentation extraction candidate targets, a dim small target detection algorithm for local energy aggregation degree of sequence images is proposed. Experiments show that compared with the traditional algorithm, this method can eliminate the interference of noise to the target and improve the detection ability of the system effectively.http://dx.doi.org/10.1155/2019/9282141 |
| spellingShingle | Fan Xiangsuo Xu Zhiyong Dim and Small Target Detection Based on Local Energy Aggregation Degree of Sequence Images International Journal of Optics |
| title | Dim and Small Target Detection Based on Local Energy Aggregation Degree of Sequence Images |
| title_full | Dim and Small Target Detection Based on Local Energy Aggregation Degree of Sequence Images |
| title_fullStr | Dim and Small Target Detection Based on Local Energy Aggregation Degree of Sequence Images |
| title_full_unstemmed | Dim and Small Target Detection Based on Local Energy Aggregation Degree of Sequence Images |
| title_short | Dim and Small Target Detection Based on Local Energy Aggregation Degree of Sequence Images |
| title_sort | dim and small target detection based on local energy aggregation degree of sequence images |
| url | http://dx.doi.org/10.1155/2019/9282141 |
| work_keys_str_mv | AT fanxiangsuo dimandsmalltargetdetectionbasedonlocalenergyaggregationdegreeofsequenceimages AT xuzhiyong dimandsmalltargetdetectionbasedonlocalenergyaggregationdegreeofsequenceimages |