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Related Experiment Video

Updated: Aug 10, 2025

Data Processing Methods for 3D Seismic Imaging of Subsurface Volcanoes: Applications to the Tarim Flood Basalt
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Localization and Classification of Venusian Volcanoes Using Image Detection Algorithms.

Daniel Đuranović1, Sandi Baressi Šegota2, Ivan Lorencin2

  • 1Rijeka Development Agency PORIN, Ul. Milutina Barača 62, 51000 Rijeka, Croatia.

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|February 11, 2023
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Summary

This study developed an artificial intelligence (AI) system using the You-Only-Look-Once (YOLO) algorithm for classifying Venusian volcanoes in satellite images. The AI achieved high accuracy in detecting and categorizing volcanic features, improving astronomical data processing.

Keywords:
Magellan data setYOLOartificial intelligenceconvolutional neural networkobject detectionvenusian volcanoes

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Area of Science:

  • Astronomy
  • Computer Science
  • Artificial Intelligence

Background:

  • Modern astronomy relies heavily on image processing, which is complex and time-consuming.
  • Artificial intelligence (AI)-based image detection and classification offer advanced solutions for astronomical data analysis.

Purpose of the Study:

  • To develop an AI system for detecting and classifying volcanoes in the Magellan dataset of Venus's surface images.
  • To apply the You-Only-Look-Once (YOLO) algorithm, a convolutional neural network (CNN), for this specific astronomical imaging task.

Main Methods:

  • The YOLO algorithm was adapted by converting existing labels to the YOLO format.
  • Deterministic augmentation techniques were employed due to the limited dataset size.
  • Hyperparameters of the YOLO network were tuned to optimize performance.

Main Results:

  • The system achieved a mean average precision (mAP@0.5) of 0.835 for localization accuracy.
  • The classification accuracy was evaluated using the F1 score, resulting in 0.826.
  • Cross-validation was used to validate the experimental results.

Conclusions:

  • The proposed AI-based method effectively detects and classifies volcanoes on Venus using the YOLO algorithm.
  • The study demonstrates the utility of AI in processing large astronomical image datasets, specifically for planetary surface analysis.