SPACE-SUIT: An Artificial Intelligence Based Chromospheric Feature Extractor and Classifier for SUIT
Pranava Seth, Vishal Upendran, Megha Anand, Janmejoy Sarkar, Soumya Roy, Priyadarshan Chaki, Pratyay Chowdhury, Borishan Ghosh, Durgesh Tripathi

TL;DR
This paper introduces SPACE-SUIT, an AI-based algorithm using neural networks to automatically detect and classify solar chromospheric features from SUIT telescope images, enabling large-scale statistical studies.
Contribution
The paper presents a novel neural network-based method for automatic detection and classification of solar chromospheric features in SUIT images, validated with statistical metrics and independent validation techniques.
Findings
SPACE-SUIT achieves high precision and recall in feature detection.
Statistical metrics effectively distinguish different chromospheric features.
Independent validation confirms the robustness of the detection method.
Abstract
The Solar Ultraviolet Imaging Telescope(SUIT) onboard Aditya-L1 is an imager that observes the solar photosphere and chromosphere through observations in the wavelength range of 200-400 nm. A comprehensive understanding of the plasma and thermodynamic properties of chromospheric and photospheric morphological structures requires a large sample statistical study, necessitating the development of automatic feature detection methods. To this end, we develop the feature detection algorithm SPACE-SUIT: Solar Phenomena Analysis and Classification using Enhanced vision techniques for SUIT, to detect and classify the solar chromospheric features to be observed from SUIT's Mg II k filter. Specifically, we target plage regions, sunspots, filaments, and off-limb structures. SPACE uses YOLO, a neural network-based model to identify regions of interest. We train and validate SPACE using mock-SUIT…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsRegional Development and Environment
