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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 0.000 |
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 teacher head, 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".