Abstract
We propose that spaceborne polarimetric imagers can be calibrated, or self-calibrated using zodiacal light (ZL). ZL is created by a cloud of interplanetary dust particles. It has a significant degree of polarization in a wide field of view. From space, ZL is unaffected by terrestrial disturbances. ZL is insensitive to the camera location, so it is suited for simultaneous cross-calibration of satellite constellations. ZL changes on a scale of months, thus being a quasi-constant target in realistic calibration sessions. We derive a forward model for polarimetric image formation. Based on it, we formulate an inverse problem for polarimetric calibration and self-calibration, as well as an algorithm for the solution. The methods here are demonstrated in simulations. Towards these simulations, we render polarized images of the sky, including ZL from space, polarimetric disturbances, and imaging noise.
| Original language | English |
|---|---|
| Pages (from-to) | 7304-7315 |
| Number of pages | 12 |
| Journal | IEEE Transactions on Pattern Analysis and Machine Intelligence |
| Volume | 47 |
| Issue number | 9 |
| DOIs | |
| State | Published - 2025 |
Keywords
- Astronomy
- Atmospheric modeling
- Calibration
- Clouds
- Computational photography
- Earth
- Polarimetric calibration
- Scattering
- Space vehicles
- Sun
ASJC Scopus subject areas
- Software
- Computer Vision and Pattern Recognition
- Computational Theory and Mathematics
- Artificial Intelligence
- Applied Mathematics
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