Evaluating backgrounds for subpixel target detection: when closer isn't better Conference Paper uri icon

abstract

  • Several different background estimators are considered when performing sub-pixel target acquisition. Although all leave noise of about the same amplitude, the difference in their N- dimensional orientation makes a big difference in the target detection performance. Metrics to evaluate the correlation of the noise are presented.

publication date

  • January 1, 2015