A study of bit planes for the compression of raw synthetic aperture radar data
Bibliographic record
Abstract
The compression of raw SAR data has been a topic of interest to researchers for many years. The goal of such compression is to transmit the highest fidelity data from the radar satellite within the downlink bandwidth constraints. The necessity of new compression techniques is further emphasized as advances in the design of radar technologies are close to surpassing the capabilities of current compression techniques. Developing only a theoretical compression technique is not a complete solution to the problem as the technique must be realizable in the hardware available for placement on the radar satellite. The implementation must not only be low in computational complexity, but must also be able to handle the ever increasing throughput demands of the radar. Bit-planes have been used successfully with several other compression techniques, and are extremely amenable to hardware due to their inherent parallelism. This paper shows that bit-plane segmentation and simple coding transformation of raw SAR data can reduce the entropy of a single plane by 59%.
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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 | 0.003 | 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 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".