Janse van Rensburg, VMishra, ANel, Willem AJ2013-05-172013-05-172013-05Janse 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 2013http://hdl.handle.net/10204/6733IEEE Radar Conference 2013, Ottawa Canada, 29 April - 3 May 2013Some 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.enInverse Synthetic Aperture RadarISARRemote sensingRange alignmentConference PresentationJanse van Rensburg, V., Mishra, A., & Nel, W. (2013). Quality measures for HRR alignment based ISAR imaging algorithms. http://hdl.handle.net/10204/6733Janse van Rensburg, V, A Mishra, and W Nel. "Quality measures for HRR alignment based ISAR imaging algorithms." (2013): http://hdl.handle.net/10204/6733Janse van Rensburg V, Mishra A, Nel W, Quality measures for HRR alignment based ISAR imaging algorithms; 2013. http://hdl.handle.net/10204/6733 .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 -