Dim and Small Target Detection Based on Local Energy Aggregation Degree of Sequence Images

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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Bibliographic Details
Main Authors: Fan Xiangsuo, Xu Zhiyong
Format: Article
Language:English
Published: Hindawi Limited 2019-01-01
Series:International Journal of Optics
Online Access:http://dx.doi.org/10.1155/2019/9282141
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spelling doaj-d48defdcdc10470bab5ed157e8fab27a2020-11-25T01:43:43ZengHindawi LimitedInternational 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
collection DOAJ
language English
format Article
sources DOAJ
author Fan Xiangsuo
Xu Zhiyong
spellingShingle Fan Xiangsuo
Xu Zhiyong
Dim and Small Target Detection Based on Local Energy Aggregation Degree of Sequence Images
International Journal of Optics
author_facet Fan Xiangsuo
Xu Zhiyong
author_sort Fan Xiangsuo
title 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_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_sort dim and small target detection based on local energy aggregation degree of sequence images
publisher Hindawi Limited
series International Journal of Optics
issn 1687-9384
1687-9392
publishDate 2019-01-01
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.
url http://dx.doi.org/10.1155/2019/9282141
work_keys_str_mv AT fanxiangsuo dimandsmalltargetdetectionbasedonlocalenergyaggregationdegreeofsequenceimages
AT xuzhiyong dimandsmalltargetdetectionbasedonlocalenergyaggregationdegreeofsequenceimages
_version_ 1725032002318499840

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