Automated Detection of Jet Contrails Using the AVHRR Split Window

摘要

This paper investigates the automated detection of jet contrails using data fromthe Advanced Very High Resolution Radiometer (AVHRR). A preliminary algorithm subtracts the 10 to 8 micron image from the 10. 8 micron image, crating a difference image on which contrails are enhanced. Then a three-stage algorithm searches the difference image for the nearly-straight line segments which characterize contrails. First, the algorithm searches for elevated, linear patterns called 'ridges.' Second, it applies a Hough Transform to the detected ridges to locate nearly-straight lines. Third, the algorithm determines which of the nearly-straight lines are likely to be contrails. The paper applies this technique to several test scenes. Remote sensing, artificial intelligence, data assimilation, satellite data.