Dim and Small Target Detection Based on Local Energy Aggregation Degree of Sequence Images
Joint Authors
Source
International Journal of Optics
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-12-13
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Xiangsuo, Fan& Zhiyong, Xu. 2019. Dim and Small Target Detection Based on Local Energy Aggregation Degree of Sequence Images. International Journal of Optics،Vol. 2019, no. 2019, pp.1-15.
https://search.emarefa.net/detail/BIM-1166658
Modern Language Association (MLA)
Xiangsuo, Fan& Zhiyong, Xu. Dim and Small Target Detection Based on Local Energy Aggregation Degree of Sequence Images. International Journal of Optics No. 2019 (2019), pp.1-15.
https://search.emarefa.net/detail/BIM-1166658
American Medical Association (AMA)
Xiangsuo, Fan& Zhiyong, Xu. Dim and Small Target Detection Based on Local Energy Aggregation Degree of Sequence Images. International Journal of Optics. 2019. Vol. 2019, no. 2019, pp.1-15.
https://search.emarefa.net/detail/BIM-1166658
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1166658