Study of real-time lossless data compression for hyperspectral imagery
Why this work is in the frame
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Bibliographic record
Abstract
This paper describes a study of real-time lossless data compression of hyperspectral imagery using prediction and entropy encoding. The main effort in developing a compression system, is to study predictors that can yield the best reduction of entropy and can be easily implemented in real-time. The Consultative Committee for Space Data System (CCSDS) recommended lossless algorithm is selected as the entropy encoder. Four predictor schemes have been selected for study. Three typical hyperspectral data sets acquired by the Airborne Visible/Infrared imaging Spectrometer (AVIRIS) and three acquired by the Compact Airborne Spectrographic Imager (casi) were used as test data. A lossless compression system with different predictors has been simulated and tested with the test data.
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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 | 0.001 |
| Open science | 0.002 | 0.001 |
| 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 it