Japan Geoscience Union Meeting 2024

Presentation information

[E] Oral

M (Multidisciplinary and Interdisciplinary) » M-ZZ Others

[M-ZZ40] International initiatives and cooperation in planetary defense

Wed. May 29, 2024 10:45 AM - 12:00 PM 102 (International Conference Hall, Makuhari Messe)

convener:Makoto Yoshikawa(Japan Aerospace Exploration Agency), Patrick Michel(Universite Cote D Azur Observatoire De La Cote D Azur CNRS Laboratoire Lagrange), Shin-ichiro Okumura(Japan Spaceguard Association), Chairperson:Makoto Yoshikawa(Japan Aerospace Exploration Agency), Shin-ichiro Okumura(Japan Spaceguard Association)

11:00 AM - 11:15 AM

[MZZ40-08] Visualization function of HEAT in 3D for thermal imagers on Hayabusa2 and Hera

*Ramon Vilardell Belles1, Hirohide Demura2, Kengo Kakazu5, Takehiko Arai3, Hiroki Senshu6, Naoya Sakatani4, Tatsuaki Okada4 (1.Graduate School of Computer Science and Engineering, The University of Aizu, 2.Aizu Research Center for Space Informatics, The University of Aizu, 3.Maebashi Institute of Technology, 4.Institute of Space and Astronautical Science, Japan Aerospace Exploration Agency, 5.School of Computer Science and Engineering, The University of Aizu, 6.Planetary Exploration Research Center, Chiba Institute of Technology)

Keywords:Hera, Hayabusa2, HEAT, Visualization, thermal imager, GUI

Abstract—HEAT, the Hayabusa2/Hera Exploration Assistant for Thermal Imagers, plays a crucial role in mapping the thermal characteristics of asteroids. HEAT offers a flexible method for calibration and conversion of the data captured by thermal infrared imagers, TIR on Hayabusa2 for 162173 Ryugu and TIRI on Hera spacecraft for 65803 Didymos including its accompanying moon, Dimorphos. HEAT facilitates 2D and 3D data depicting brightness temperature, radiation flux, and thermal inertia. Through the integration of thread parallelization with OpenMP, we significantly decreased the computing time for data processing. The architecture-agnostic design of our parallelization technique guarantees compatibility with diverse computing platforms, enhancing HEAT's scalability and flexibility for upcoming missions. Recent enhancements have introduced advanced 3D visualization capabilities, powered by Python-based tools like PyQt5, PyVista, and PyVistaQT. This enhances usability and enables the visualisation of TIRI data, which now includes seven bands and a shutter-closed one. Now is possible to visualize the asteroid surfaces with detail, spotting key features like depressions.
HEAT employs techniques like Laplacian smoothing and curvature flow to enhance the clarity of visuals and provide insights into asteroid surfaces. Moreover, users can personalize their visualizations with various data-colors and toggle mesh edges for comprehensive analysis. HEAT's dynamic rotation and intelligent camera features ensure a good viewing perspective. Looking ahead, HEAT aims to further develop algorithms for feature detection and enhancing data analysis capabilities. With HEAT, the exploration of asteroids becomes an incredible tool for data scientists to analyse asteroids.