caa a22 4500 445305207 CHVBK 20180317142610.0 cr unu---uuuuu 170323e20110601xx s 000 0 eng 10.1007/s10762-011-9793-6 doi (NATIONALLICENCE)springer-10.1007/s10762-011-9793-6 The High-Frequency Constant-Statistics Constraint Nonuniformity Correction Algorithm [Elektronische Daten] [Qian Weixian, Chen Qian, Gu Guohua] In scene-based nonuniformity correction, "ghosting artifacts” and "convergence speed” are hard to be solved simultaneously. According to the central limit theorem, the decreasing of the sample data's standard deviation is beneficial to the precision and speed of parameter statistics. The convergence precision and speed of parameter statistics correspond to "ghosting artifacts” and "convergence speed”. So in this study, we develop a new algorithm called the high-frequency Constant-Statistics Constraint (HFCS) algorithm. The core idea of HFCS is to reduce the input observation data's standard deviation. Two ways are used to achieve this reduction. The first way is frequency separation. The input data's low-space-frequency part is discarded, and HFCS only processes the input data's high-space-frequency part. This can effectively reduce the input data's standard deviation. The second way is to create a Dynamic Range Reduction (DRR) region. Only the high-space-frequency value in the DRR region can be used to update the NUC parameters. DRR region's range is much less than the high-space-frequency's, so it further decrease the input data's standard deviation. The processing results show that HFCS can own high convergence speed with very few ghosting artifacts. Springer Science+Business Media, LLC, 2011 Scene-based nonuniformity correction nationallicence Dynamic range reduction nationallicence Convergence speed nationallicence Ghosting artifacts nationallicence Weixian Qian 0404 Lab, JGMT, EEOT, Nanjing University of Science & Technology, Nanjing, China aut Qian Chen 0404 Lab, JGMT, EEOT, Nanjing University of Science & Technology, Nanjing, China aut Guohua Gu 0404 Lab, JGMT, EEOT, Nanjing University of Science & Technology, Nanjing, China aut Journal of Infrared, Millimeter, and Terahertz Waves Springer US; http://www.springer-ny.com 32/6(2011-06-01), 778-792 1866-6892 32:6<778 2011 32 10762 https://doi.org/10.1007/s10762-011-9793-6 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10762-011-9793-6 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Weixian Qian 0404 Lab, JGMT, EEOT, Nanjing University of Science & Technology, Nanjing, China aut NATIONALLICENCE 700 1- Qian Chen 0404 Lab, JGMT, EEOT, Nanjing University of Science & Technology, Nanjing, China aut NATIONALLICENCE 700 1- Guohua Gu 0404 Lab, JGMT, EEOT, Nanjing University of Science & Technology, Nanjing, China aut NATIONALLICENCE 773 0- Journal of Infrared, Millimeter, and Terahertz Waves Springer US; http://www.springer-ny.com 32/6(2011-06-01), 778-792 1866-6892 32:6<778 2011 32 10762 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer