ResearchSpace

Quality measures for HRR alignment based ISAR imaging algorithms

Show simple item record

dc.contributor.author Janse van Rensburg, V
dc.contributor.author Mishra, A
dc.contributor.author Nel, Willem AJ
dc.date.accessioned 2013-05-17T13:17:54Z
dc.date.available 2013-05-17T13:17:54Z
dc.date.issued 2013-05
dc.identifier.citation Janse van Rensburg, V, Mishra, A and Nel, W. 2013. Quality measures for HRR alignment based ISAR imaging algorithms. IEEE Radar Conference 2013, Ottawa Canada, 29 April - 3 May 2013 en_US
dc.identifier.uri http://hdl.handle.net/10204/6733
dc.description IEEE Radar Conference 2013, Ottawa Canada, 29 April - 3 May 2013 en_US
dc.description.abstract Some Inverse Synthetic Aperture Radar (ISAR) algorithms form the image in a two-step process of range alignment and phase conjugation. This paper discusses a comprehensive set of measures used to quantify the quality of range alignment, with the aim of 1) reviewing their benefits and shortcomings and 2) comparing their relative performance. Some quality measures may favour particular alignment techniques without adequately indicating improved alignment, so using multiple quality measures provide an added means of verifying the alignment quality achieved by any alignment technique. The sensitivity of the quality measures to slight misalignment of profiles and the effects of noise is also investigated. en_US
dc.language.iso en en_US
dc.relation.ispartofseries Workflow;10612
dc.subject Inverse Synthetic Aperture Radar en_US
dc.subject ISAR en_US
dc.subject Remote sensing en_US
dc.subject Range alignment en_US
dc.title Quality measures for HRR alignment based ISAR imaging algorithms en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Janse van Rensburg, V., Mishra, A., & Nel, W. (2013). Quality measures for HRR alignment based ISAR imaging algorithms. http://hdl.handle.net/10204/6733 en_ZA
dc.identifier.chicagocitation Janse van Rensburg, V, A Mishra, and W Nel. "Quality measures for HRR alignment based ISAR imaging algorithms." (2013): http://hdl.handle.net/10204/6733 en_ZA
dc.identifier.vancouvercitation Janse van Rensburg V, Mishra A, Nel W, Quality measures for HRR alignment based ISAR imaging algorithms; 2013. http://hdl.handle.net/10204/6733 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Janse van Rensburg, V AU - Mishra, A AU - Nel, W AB - Some Inverse Synthetic Aperture Radar (ISAR) algorithms form the image in a two-step process of range alignment and phase conjugation. This paper discusses a comprehensive set of measures used to quantify the quality of range alignment, with the aim of 1) reviewing their benefits and shortcomings and 2) comparing their relative performance. Some quality measures may favour particular alignment techniques without adequately indicating improved alignment, so using multiple quality measures provide an added means of verifying the alignment quality achieved by any alignment technique. The sensitivity of the quality measures to slight misalignment of profiles and the effects of noise is also investigated. DA - 2013-05 DB - ResearchSpace DP - CSIR KW - Inverse Synthetic Aperture Radar KW - ISAR KW - Remote sensing KW - Range alignment LK - https://researchspace.csir.co.za PY - 2013 T1 - Quality measures for HRR alignment based ISAR imaging algorithms TI - Quality measures for HRR alignment based ISAR imaging algorithms UR - http://hdl.handle.net/10204/6733 ER - en_ZA


Files in this item

Thumbnail
Name: JanseVanRensburg_ ...
Size: 6.808Kb
Format: PDF
View/Open

This item appears in the following Collection(s)

Show simple item record