An Error Detection and Smoothing Algorithm for Infrared Data.
Abstract
A new algorithm for error detection and smoothing, EDS, has been developed for infrared image data. Numerical validation indicates that EDS detects more than 99% of all significant errors. Operating in the time domain, EDS exploits smoothness criteria calculated from laboratory point source measurements, and isolates error bursts via a region-growing approach. EDS is applicable to data from any optical scanner whose output is sampled digitally multiple times per dwell. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- Apr 01, 1986
- Accession Number
- ADA168628
Entities
People
- M. J. Mchugh
- R. A. Steinberg
Organizations
- Johns Hopkins University