Redline Atomic-Oxygen-Airglow Image Restoration for the VIOLET CubeSat Mission
Bibliographic record
Abstract
The Spectral Airglow Structure Imager (SASI) is a mission on CubeSat NB’s VIOLET satellite, and it is imaging the 630 nm redline atomic oxygen airglow in the ionosphere at altitudes of 300-400 km. The image acquisition conditions of VIOLET make it susceptible to significant degradation primarily due to rotational blurring. A method of deconvolution by ring extraction and linearization using Richardson-Lucy methods for rotational blurring is presented to minimize the rotational blurring in the system. Interpolation by means of splicing and specific pixel deconvolutions are discussed to increase image quality after deconvolution. Boundary conditions for pre-processing to handle corner degradation due to the nature of rotational blurring are also discussed. Preliminary results show effective deconvolution of rotationally blurred images, currently resulting in SSIM indexes approaching 0.50.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".