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IRST infrared background analysis of bay environments

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dc.contributor.author Schwering, PBW
dc.contributor.author Bezuidenhout, DF
dc.contributor.author Gunter, WH
dc.contributor.author Le Roux, FPJ
dc.contributor.author Sieberhagen, RH
dc.date.accessioned 2009-03-06T11:11:48Z
dc.date.available 2009-03-06T11:11:48Z
dc.date.issued 2008-04
dc.identifier.citation Schwering, PBW, Bezuidenhout, DF, Gunter, WH, Le Roux, FPJ and Sieberhagen, RH. 2008. IRST infrared background analysis of bay environments. Infrared Technology and Applications XXXIV: Proceedings of SPIE, Vol 6940, pp 69401E. en
dc.identifier.issn 0277786X
dc.identifier.uri http://hdl.handle.net/10204/3147
dc.description Copyright: 2008 Proceedings of SPIE en
dc.description.abstract Present-day naval operations take place in coastal environments as well as narrow straits all over the world. Coastal environments around the world are exhibiting a number of threats to naval forces. In particular a large number of asymmetric threats can be present in environments with cluttered backgrounds as well as rapidly varying atmospheric conditions. During trials executed in False Bay a large amount of target, background and atmosphere data was gathered that is of use in analysis of optical characteristics of targets and backgrounds. During the trials a variety of backgrounds were recorded. The authors have used these backgrounds to validate the TNO background model MIBS to incorporate also coastal backgrounds and sunlit sea backgrounds. In the paper they show results of the background analysis, for coastal bay backgrounds. In particular the detection of small targets by automatic system may be hampered by small surface structure variations at the surface and near the horizon. The data that the authors have analyzed are sea surface structure, temporal behaviour, and spectral differences during different environmental conditions that occurred during the trials. This data is essential to feed detection algorithms, and performance models for the assessment of sensor performance in coastal environment. Some sensor management approaches for application in IRST systems is discussed en
dc.language.iso en en
dc.publisher SPIE en
dc.subject Infrared backgrounds en
dc.subject Coastal bay analysis en
dc.subject Small surface target contrasts en
dc.subject IRST application en
dc.title IRST infrared background analysis of bay environments en
dc.type Conference Presentation en
dc.identifier.apacitation Schwering, P., Bezuidenhout, D., Gunter, W., Le Roux, F., & Sieberhagen, R. (2008). IRST infrared background analysis of bay environments. SPIE. http://hdl.handle.net/10204/3147 en_ZA
dc.identifier.chicagocitation Schwering, PBW, DF Bezuidenhout, WH Gunter, FPJ Le Roux, and RH Sieberhagen. "IRST infrared background analysis of bay environments." (2008): http://hdl.handle.net/10204/3147 en_ZA
dc.identifier.vancouvercitation Schwering P, Bezuidenhout D, Gunter W, Le Roux F, Sieberhagen R, IRST infrared background analysis of bay environments; SPIE; 2008. http://hdl.handle.net/10204/3147 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Schwering, PBW AU - Bezuidenhout, DF AU - Gunter, WH AU - Le Roux, FPJ AU - Sieberhagen, RH AB - Present-day naval operations take place in coastal environments as well as narrow straits all over the world. Coastal environments around the world are exhibiting a number of threats to naval forces. In particular a large number of asymmetric threats can be present in environments with cluttered backgrounds as well as rapidly varying atmospheric conditions. During trials executed in False Bay a large amount of target, background and atmosphere data was gathered that is of use in analysis of optical characteristics of targets and backgrounds. During the trials a variety of backgrounds were recorded. The authors have used these backgrounds to validate the TNO background model MIBS to incorporate also coastal backgrounds and sunlit sea backgrounds. In the paper they show results of the background analysis, for coastal bay backgrounds. In particular the detection of small targets by automatic system may be hampered by small surface structure variations at the surface and near the horizon. The data that the authors have analyzed are sea surface structure, temporal behaviour, and spectral differences during different environmental conditions that occurred during the trials. This data is essential to feed detection algorithms, and performance models for the assessment of sensor performance in coastal environment. Some sensor management approaches for application in IRST systems is discussed DA - 2008-04 DB - ResearchSpace DP - CSIR KW - Infrared backgrounds KW - Coastal bay analysis KW - Small surface target contrasts KW - IRST application LK - https://researchspace.csir.co.za PY - 2008 SM - 0277786X T1 - IRST infrared background analysis of bay environments TI - IRST infrared background analysis of bay environments UR - http://hdl.handle.net/10204/3147 ER - en_ZA


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