Autonomous Identification of the Morphology of Chorus Elements in The
Van Allen Radiation Belts
Abstract
We will present signal processing techniques based on shape analysis of
the time-frequency signatures of chorus elements in the Van Allen
Radiation Belts. Specifically, we will employ the Radon transform and
the Distance Transform, which are well-known for isolating local shapes
and patterns in the image processing literature, to achieve automated
detection of the spectral morphology of chorus elements. In particular,
we will introduce “shrink-wrapping” techniques that quantify the
salient features defining the microstructure of chorus elements. We will
present preliminary results based on case studies of the EMFISIS data
from the Van Allen Radiation Belts mission.