Dim and Small Target Detection Based on Improved Spatio-Temporal Filtering

Small target detection in high strength clutter background is in great in remote imaging system, a new improved spatio-temporal filtering was proposed in this paper. Firstly, traditional anisotropy filtering has poor suppression effect in strength edge contour region, so a new diffusion filtering fu...

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Autores principales:	Li Juliu, Fan Xiangsuo, Chen Huajin, Li Bing, Min Lei, Xu Zhiyong
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2022
Materias:	Small target detection multidirectional gradient spatial filtering bound pipeline filtering background prediction Applied optics. Photonics TA1501-1820 Optics. Light QC350-467
Acceso en línea:	https://doaj.org/article/5aa2fda7182b496aa005330449beffe9
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id	oai:doaj.org-article:5aa2fda7182b496aa005330449beffe9
record_format	dspace
spelling	oai:doaj.org-article:5aa2fda7182b496aa005330449beffe92021-12-02T00:00:03ZDim and Small Target Detection Based on Improved Spatio-Temporal Filtering1943-065510.1109/JPHOT.2021.3121031https://doaj.org/article/5aa2fda7182b496aa005330449beffe92022-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9580632/https://doaj.org/toc/1943-0655Small target detection in high strength clutter background is in great in remote imaging system, a new improved spatio-temporal filtering was proposed in this paper. Firstly, traditional anisotropy filtering has poor suppression effect in strength edge contour region, so a new diffusion filtering function proposed in paper. According to the analysis with difference of each component of the image, a new anisotropy diffusion function is constructed in this paper. When the difference of background and target is small, this algorithm will give in large diffusion coefficient to filter most background clutter and retain target signal well which achieves background prediction better. Secondly, because the traditional spatiotemporal filter algorithm cant follow the motion object in the fixed search pipe diameter what will make lose the target detection, a new weight constraint function of adaptive change of the search diameter in this paper is built which can change the search diameter with the moving of target, and improve the detection accuracy. Finally, experiments show that compared with traditional algorithms and detected in different scenes, this method can enhance small target detection effectively.Li JuliuFan XiangsuoChen HuajinLi BingMin LeiXu ZhiyongIEEEarticleSmall target detectionmultidirectional gradientspatial filteringbound pipeline filteringbackground predictionApplied optics. PhotonicsTA1501-1820Optics. LightQC350-467ENIEEE Photonics Journal, Vol 14, Iss 1, Pp 1-11 (2022)
institution	DOAJ
collection	DOAJ
language	EN
topic	Small target detection multidirectional gradient spatial filtering bound pipeline filtering background prediction Applied optics. Photonics TA1501-1820 Optics. Light QC350-467
spellingShingle	Small target detection multidirectional gradient spatial filtering bound pipeline filtering background prediction Applied optics. Photonics TA1501-1820 Optics. Light QC350-467 Li Juliu Fan Xiangsuo Chen Huajin Li Bing Min Lei Xu Zhiyong Dim and Small Target Detection Based on Improved Spatio-Temporal Filtering
description	Small target detection in high strength clutter background is in great in remote imaging system, a new improved spatio-temporal filtering was proposed in this paper. Firstly, traditional anisotropy filtering has poor suppression effect in strength edge contour region, so a new diffusion filtering function proposed in paper. According to the analysis with difference of each component of the image, a new anisotropy diffusion function is constructed in this paper. When the difference of background and target is small, this algorithm will give in large diffusion coefficient to filter most background clutter and retain target signal well which achieves background prediction better. Secondly, because the traditional spatiotemporal filter algorithm cant follow the motion object in the fixed search pipe diameter what will make lose the target detection, a new weight constraint function of adaptive change of the search diameter in this paper is built which can change the search diameter with the moving of target, and improve the detection accuracy. Finally, experiments show that compared with traditional algorithms and detected in different scenes, this method can enhance small target detection effectively.
format	article
author	Li Juliu Fan Xiangsuo Chen Huajin Li Bing Min Lei Xu Zhiyong
author_facet	Li Juliu Fan Xiangsuo Chen Huajin Li Bing Min Lei Xu Zhiyong
author_sort	Li Juliu
title	Dim and Small Target Detection Based on Improved Spatio-Temporal Filtering
title_short	Dim and Small Target Detection Based on Improved Spatio-Temporal Filtering
title_full	Dim and Small Target Detection Based on Improved Spatio-Temporal Filtering
title_fullStr	Dim and Small Target Detection Based on Improved Spatio-Temporal Filtering
title_full_unstemmed	Dim and Small Target Detection Based on Improved Spatio-Temporal Filtering
title_sort	dim and small target detection based on improved spatio-temporal filtering
publisher	IEEE
publishDate	2022
url	https://doaj.org/article/5aa2fda7182b496aa005330449beffe9
work_keys_str_mv	AT lijuliu dimandsmalltargetdetectionbasedonimprovedspatiotemporalfiltering AT fanxiangsuo dimandsmalltargetdetectionbasedonimprovedspatiotemporalfiltering AT chenhuajin dimandsmalltargetdetectionbasedonimprovedspatiotemporalfiltering AT libing dimandsmalltargetdetectionbasedonimprovedspatiotemporalfiltering AT minlei dimandsmalltargetdetectionbasedonimprovedspatiotemporalfiltering AT xuzhiyong dimandsmalltargetdetectionbasedonimprovedspatiotemporalfiltering
_version_	1718403984842031104

Dim and Small Target Detection Based on Improved Spatio-Temporal Filtering

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