Infrared Small Target Detection Method with Trajectory Correction Fuze Based on Infrared Image Sensor

Due to the complexity of background and diversity of small targets, robust detection of infrared small targets for the trajectory correction fuze has become a challenge. To solve this problem, different from the traditional method, a state-of-the-art detection method based on density-distance space...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Cong Zhang [verfasserIn] Dongguang Li [verfasserIn] Jiashuo Qi [verfasserIn] Jingtao Liu [verfasserIn] Yu Wang [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	trajectory correction fuze infrared image sensor small target detection density-distance space

Übergeordnetes Werk:	In: Sensors - MDPI AG, 2003, 21(2021), 13, p 4522
Übergeordnetes Werk:	volume:21 ; year:2021 ; number:13, p 4522

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/s21134522

Katalog-ID:	DOAJ079184510

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allfields	10.3390/s21134522 doi (DE-627)DOAJ079184510 (DE-599)DOAJ520a75bf45c746879885f95970045358 DE-627 ger DE-627 rakwb eng TP1-1185 Cong Zhang verfasserin aut Infrared Small Target Detection Method with Trajectory Correction Fuze Based on Infrared Image Sensor 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Due to the complexity of background and diversity of small targets, robust detection of infrared small targets for the trajectory correction fuze has become a challenge. To solve this problem, different from the traditional method, a state-of-the-art detection method based on density-distance space is proposed to apply to the trajectory correction fuze. First, parameters of the infrared image sensor on the fuze are calculated to set the boundary limitations for the target detection method. Second, the density-distance space method is proposed to detect the candidate targets. Finally, the adaptive pixel growth (APG) algorithm is used to suppress the clutter so as to detect the real targets. Three experiments, including equivalent detection, simulation and hardware-in-loop, were implemented to verify the effectiveness of this method. Results illustrated that the infrared image sensor on the fuze has a stable field of view under rotation of the projectile, and could clearly observe the infrared small target. The proposed method has superior anti-noise, different size target detection, multi-target detection and various clutter suppression capability. Compared with six novel algorithms, our algorithm shows a perfect detection performance and acceptable time consumption. trajectory correction fuze infrared image sensor small target detection density-distance space Chemical technology Dongguang Li verfasserin aut Jiashuo Qi verfasserin aut Jingtao Liu verfasserin aut Yu Wang verfasserin aut In Sensors MDPI AG, 2003 21(2021), 13, p 4522 (DE-627)331640910 (DE-600)2052857-7 14248220 nnns volume:21 year:2021 number:13, p 4522 https://doi.org/10.3390/s21134522 kostenfrei https://doaj.org/article/520a75bf45c746879885f95970045358 kostenfrei https://www.mdpi.com/1424-8220/21/13/4522 kostenfrei https://doaj.org/toc/1424-8220 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2111 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 21 2021 13, p 4522
spelling	10.3390/s21134522 doi (DE-627)DOAJ079184510 (DE-599)DOAJ520a75bf45c746879885f95970045358 DE-627 ger DE-627 rakwb eng TP1-1185 Cong Zhang verfasserin aut Infrared Small Target Detection Method with Trajectory Correction Fuze Based on Infrared Image Sensor 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Due to the complexity of background and diversity of small targets, robust detection of infrared small targets for the trajectory correction fuze has become a challenge. To solve this problem, different from the traditional method, a state-of-the-art detection method based on density-distance space is proposed to apply to the trajectory correction fuze. First, parameters of the infrared image sensor on the fuze are calculated to set the boundary limitations for the target detection method. Second, the density-distance space method is proposed to detect the candidate targets. Finally, the adaptive pixel growth (APG) algorithm is used to suppress the clutter so as to detect the real targets. Three experiments, including equivalent detection, simulation and hardware-in-loop, were implemented to verify the effectiveness of this method. Results illustrated that the infrared image sensor on the fuze has a stable field of view under rotation of the projectile, and could clearly observe the infrared small target. The proposed method has superior anti-noise, different size target detection, multi-target detection and various clutter suppression capability. Compared with six novel algorithms, our algorithm shows a perfect detection performance and acceptable time consumption. trajectory correction fuze infrared image sensor small target detection density-distance space Chemical technology Dongguang Li verfasserin aut Jiashuo Qi verfasserin aut Jingtao Liu verfasserin aut Yu Wang verfasserin aut In Sensors MDPI AG, 2003 21(2021), 13, p 4522 (DE-627)331640910 (DE-600)2052857-7 14248220 nnns volume:21 year:2021 number:13, p 4522 https://doi.org/10.3390/s21134522 kostenfrei https://doaj.org/article/520a75bf45c746879885f95970045358 kostenfrei https://www.mdpi.com/1424-8220/21/13/4522 kostenfrei https://doaj.org/toc/1424-8220 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2111 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 21 2021 13, p 4522
allfields_unstemmed	10.3390/s21134522 doi (DE-627)DOAJ079184510 (DE-599)DOAJ520a75bf45c746879885f95970045358 DE-627 ger DE-627 rakwb eng TP1-1185 Cong Zhang verfasserin aut Infrared Small Target Detection Method with Trajectory Correction Fuze Based on Infrared Image Sensor 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Due to the complexity of background and diversity of small targets, robust detection of infrared small targets for the trajectory correction fuze has become a challenge. To solve this problem, different from the traditional method, a state-of-the-art detection method based on density-distance space is proposed to apply to the trajectory correction fuze. First, parameters of the infrared image sensor on the fuze are calculated to set the boundary limitations for the target detection method. Second, the density-distance space method is proposed to detect the candidate targets. Finally, the adaptive pixel growth (APG) algorithm is used to suppress the clutter so as to detect the real targets. Three experiments, including equivalent detection, simulation and hardware-in-loop, were implemented to verify the effectiveness of this method. Results illustrated that the infrared image sensor on the fuze has a stable field of view under rotation of the projectile, and could clearly observe the infrared small target. The proposed method has superior anti-noise, different size target detection, multi-target detection and various clutter suppression capability. Compared with six novel algorithms, our algorithm shows a perfect detection performance and acceptable time consumption. trajectory correction fuze infrared image sensor small target detection density-distance space Chemical technology Dongguang Li verfasserin aut Jiashuo Qi verfasserin aut Jingtao Liu verfasserin aut Yu Wang verfasserin aut In Sensors MDPI AG, 2003 21(2021), 13, p 4522 (DE-627)331640910 (DE-600)2052857-7 14248220 nnns volume:21 year:2021 number:13, p 4522 https://doi.org/10.3390/s21134522 kostenfrei https://doaj.org/article/520a75bf45c746879885f95970045358 kostenfrei https://www.mdpi.com/1424-8220/21/13/4522 kostenfrei https://doaj.org/toc/1424-8220 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2111 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 21 2021 13, p 4522
allfieldsGer	10.3390/s21134522 doi (DE-627)DOAJ079184510 (DE-599)DOAJ520a75bf45c746879885f95970045358 DE-627 ger DE-627 rakwb eng TP1-1185 Cong Zhang verfasserin aut Infrared Small Target Detection Method with Trajectory Correction Fuze Based on Infrared Image Sensor 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Due to the complexity of background and diversity of small targets, robust detection of infrared small targets for the trajectory correction fuze has become a challenge. To solve this problem, different from the traditional method, a state-of-the-art detection method based on density-distance space is proposed to apply to the trajectory correction fuze. First, parameters of the infrared image sensor on the fuze are calculated to set the boundary limitations for the target detection method. Second, the density-distance space method is proposed to detect the candidate targets. Finally, the adaptive pixel growth (APG) algorithm is used to suppress the clutter so as to detect the real targets. Three experiments, including equivalent detection, simulation and hardware-in-loop, were implemented to verify the effectiveness of this method. Results illustrated that the infrared image sensor on the fuze has a stable field of view under rotation of the projectile, and could clearly observe the infrared small target. The proposed method has superior anti-noise, different size target detection, multi-target detection and various clutter suppression capability. Compared with six novel algorithms, our algorithm shows a perfect detection performance and acceptable time consumption. trajectory correction fuze infrared image sensor small target detection density-distance space Chemical technology Dongguang Li verfasserin aut Jiashuo Qi verfasserin aut Jingtao Liu verfasserin aut Yu Wang verfasserin aut In Sensors MDPI AG, 2003 21(2021), 13, p 4522 (DE-627)331640910 (DE-600)2052857-7 14248220 nnns volume:21 year:2021 number:13, p 4522 https://doi.org/10.3390/s21134522 kostenfrei https://doaj.org/article/520a75bf45c746879885f95970045358 kostenfrei https://www.mdpi.com/1424-8220/21/13/4522 kostenfrei https://doaj.org/toc/1424-8220 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2111 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 21 2021 13, p 4522
allfieldsSound	10.3390/s21134522 doi (DE-627)DOAJ079184510 (DE-599)DOAJ520a75bf45c746879885f95970045358 DE-627 ger DE-627 rakwb eng TP1-1185 Cong Zhang verfasserin aut Infrared Small Target Detection Method with Trajectory Correction Fuze Based on Infrared Image Sensor 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Due to the complexity of background and diversity of small targets, robust detection of infrared small targets for the trajectory correction fuze has become a challenge. To solve this problem, different from the traditional method, a state-of-the-art detection method based on density-distance space is proposed to apply to the trajectory correction fuze. First, parameters of the infrared image sensor on the fuze are calculated to set the boundary limitations for the target detection method. Second, the density-distance space method is proposed to detect the candidate targets. Finally, the adaptive pixel growth (APG) algorithm is used to suppress the clutter so as to detect the real targets. Three experiments, including equivalent detection, simulation and hardware-in-loop, were implemented to verify the effectiveness of this method. Results illustrated that the infrared image sensor on the fuze has a stable field of view under rotation of the projectile, and could clearly observe the infrared small target. The proposed method has superior anti-noise, different size target detection, multi-target detection and various clutter suppression capability. Compared with six novel algorithms, our algorithm shows a perfect detection performance and acceptable time consumption. trajectory correction fuze infrared image sensor small target detection density-distance space Chemical technology Dongguang Li verfasserin aut Jiashuo Qi verfasserin aut Jingtao Liu verfasserin aut Yu Wang verfasserin aut In Sensors MDPI AG, 2003 21(2021), 13, p 4522 (DE-627)331640910 (DE-600)2052857-7 14248220 nnns volume:21 year:2021 number:13, p 4522 https://doi.org/10.3390/s21134522 kostenfrei https://doaj.org/article/520a75bf45c746879885f95970045358 kostenfrei https://www.mdpi.com/1424-8220/21/13/4522 kostenfrei https://doaj.org/toc/1424-8220 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2111 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 21 2021 13, p 4522
language	English
source	In Sensors 21(2021), 13, p 4522 volume:21 year:2021 number:13, p 4522
sourceStr	In Sensors 21(2021), 13, p 4522 volume:21 year:2021 number:13, p 4522
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	trajectory correction fuze infrared image sensor small target detection density-distance space Chemical technology
isfreeaccess_bool	true
container_title	Sensors
authorswithroles_txt_mv	Cong Zhang @@aut@@ Dongguang Li @@aut@@ Jiashuo Qi @@aut@@ Jingtao Liu @@aut@@ Yu Wang @@aut@@
publishDateDaySort_date	2021-01-01T00:00:00Z
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callnumber-first	T - Technology
author	Cong Zhang
spellingShingle	Cong Zhang misc TP1-1185 misc trajectory correction fuze misc infrared image sensor misc small target detection misc density-distance space misc Chemical technology Infrared Small Target Detection Method with Trajectory Correction Fuze Based on Infrared Image Sensor
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topic_title	TP1-1185 Infrared Small Target Detection Method with Trajectory Correction Fuze Based on Infrared Image Sensor trajectory correction fuze infrared image sensor small target detection density-distance space
topic	misc TP1-1185 misc trajectory correction fuze misc infrared image sensor misc small target detection misc density-distance space misc Chemical technology
topic_unstemmed	misc TP1-1185 misc trajectory correction fuze misc infrared image sensor misc small target detection misc density-distance space misc Chemical technology
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title	Infrared Small Target Detection Method with Trajectory Correction Fuze Based on Infrared Image Sensor
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title_full	Infrared Small Target Detection Method with Trajectory Correction Fuze Based on Infrared Image Sensor
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title_sort	infrared small target detection method with trajectory correction fuze based on infrared image sensor
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title_auth	Infrared Small Target Detection Method with Trajectory Correction Fuze Based on Infrared Image Sensor
abstract	Due to the complexity of background and diversity of small targets, robust detection of infrared small targets for the trajectory correction fuze has become a challenge. To solve this problem, different from the traditional method, a state-of-the-art detection method based on density-distance space is proposed to apply to the trajectory correction fuze. First, parameters of the infrared image sensor on the fuze are calculated to set the boundary limitations for the target detection method. Second, the density-distance space method is proposed to detect the candidate targets. Finally, the adaptive pixel growth (APG) algorithm is used to suppress the clutter so as to detect the real targets. Three experiments, including equivalent detection, simulation and hardware-in-loop, were implemented to verify the effectiveness of this method. Results illustrated that the infrared image sensor on the fuze has a stable field of view under rotation of the projectile, and could clearly observe the infrared small target. The proposed method has superior anti-noise, different size target detection, multi-target detection and various clutter suppression capability. Compared with six novel algorithms, our algorithm shows a perfect detection performance and acceptable time consumption.
abstractGer	Due to the complexity of background and diversity of small targets, robust detection of infrared small targets for the trajectory correction fuze has become a challenge. To solve this problem, different from the traditional method, a state-of-the-art detection method based on density-distance space is proposed to apply to the trajectory correction fuze. First, parameters of the infrared image sensor on the fuze are calculated to set the boundary limitations for the target detection method. Second, the density-distance space method is proposed to detect the candidate targets. Finally, the adaptive pixel growth (APG) algorithm is used to suppress the clutter so as to detect the real targets. Three experiments, including equivalent detection, simulation and hardware-in-loop, were implemented to verify the effectiveness of this method. Results illustrated that the infrared image sensor on the fuze has a stable field of view under rotation of the projectile, and could clearly observe the infrared small target. The proposed method has superior anti-noise, different size target detection, multi-target detection and various clutter suppression capability. Compared with six novel algorithms, our algorithm shows a perfect detection performance and acceptable time consumption.
abstract_unstemmed	Due to the complexity of background and diversity of small targets, robust detection of infrared small targets for the trajectory correction fuze has become a challenge. To solve this problem, different from the traditional method, a state-of-the-art detection method based on density-distance space is proposed to apply to the trajectory correction fuze. First, parameters of the infrared image sensor on the fuze are calculated to set the boundary limitations for the target detection method. Second, the density-distance space method is proposed to detect the candidate targets. Finally, the adaptive pixel growth (APG) algorithm is used to suppress the clutter so as to detect the real targets. Three experiments, including equivalent detection, simulation and hardware-in-loop, were implemented to verify the effectiveness of this method. Results illustrated that the infrared image sensor on the fuze has a stable field of view under rotation of the projectile, and could clearly observe the infrared small target. The proposed method has superior anti-noise, different size target detection, multi-target detection and various clutter suppression capability. Compared with six novel algorithms, our algorithm shows a perfect detection performance and acceptable time consumption.
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title_short	Infrared Small Target Detection Method with Trajectory Correction Fuze Based on Infrared Image Sensor
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