Solar Flare Detection via GLR-Based Change-Point Analysis
This project detects solar flare events in NASA’s solar observation video using a statistical framework based on the Generalized Likelihood Ratio (GLR) test. Principal Component Analysis (PCA) is employed to enhance the Gaussianity of the video data, improving the performance and reliability of the GLR-based change-point detection. The approach offers a lightweight, unsupervised change-point detection algorithm.
Oct 1, 2019
