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CORTO: The Celestial Object Rendering TOol at DART Lab.

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Summary
This summary is machine-generated.

The Celestial Object Rendering TOol (CORTO) generates realistic synthetic images of celestial bodies for space missions. This tool aids in developing and validating space navigation and image processing algorithms.

Keywords:
data generationimage processingimage validationminor bodiesspace explorationtool

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Area of Science:

  • Astronomy and astrophysics
  • Computer vision
  • Aerospace engineering

Background:

  • Developing accurate synthetic imagery is crucial for space mission design and algorithm validation.
  • Existing tools may lack comprehensive features for realistic celestial body simulation.

Purpose of the Study:

  • To introduce and detail the functionalities of the Celestial Object Rendering TOol (CORTO).
  • To demonstrate CORTO's utility in generating synthetic celestial images for space applications.
  • To highlight the importance of validation against real mission data.

Main Methods:

  • Utilizing rendering, noise modeling, hardware-in-the-loop testing, and post-processing.
  • Implementing validation metrics such as normalized cross-correlation and structural similarity.
  • Showcasing CORTO's application in CubeSat design, lunar missions, and deep learning.

Main Results:

  • CORTO provides a versatile solution for creating realistic synthetic celestial images.
  • The tool facilitates the development and validation of image processing and navigation algorithms.
  • Validation against real mission images confirms CORTO's accuracy.

Conclusions:

  • CORTO is a valuable asset for advancing space exploration and algorithm development.
  • The tool has proven effective in diverse space mission contexts.
  • Future work will expand CORTO's simulation capabilities to more celestial phenomena.