A compact 2048x1536 pixel infrared imager for long distance surveillance
Bibliographic record
Abstract
The evolution of infrared imaging technology has always followed, from a distance, the evolution of the technology in the visible waveband with ever increasing resolutions and decreasing pixel pitch. With such evolution the cameras in the visible are smaller than ever and display high quality imaging. Nowadays the size of the pixels in the infrared is generally much larger than its counterpart in the visible. However, the ratio of the size of the pixel to the wavelength is much smaller in the infrared than in the visible with the consequence that the gain on the pixel size could be limited considering today's rules of design. In the infrared, the recent advent of large 1024 x 768 pixel focal plane arrays based on 17 um pixel for the 8 to 12 um waveband raises development challenges. Nevertheless, it was recently shown that sampling a scene at a frequency higher than the one corresponding to the pixel pitch is an efficient way of increasing the resolution of an image for given pixel size and FPA dimensions. Following this strategy a 2048 x 1536 pixel imager with integrated microscan was developed based on an uncooled bolometer FPA. Due to its very small 8.5 um efficient pixel pitch the imager offers very high resolution and large field-of-view (FOV) using a short 50 mm focal length. Furthermore, since the size of the FPA is maintained at a reasonable size and the pixel pitch is very small the optics is compact and lightweight and the level of aberrations at the larger angles of the FOV is kept to a minimum offering excellent imaging quality. Such a platform could thus be used for very compact surveillance system and remote sensing instrumentation. This paper reviews the optics developed to perform the microscanned acquisition, the acquisition electronics and presents examples of high-resolution imaging. Finally, comparison of imaging with and without microscan is provided illustrating the usefulness of the microscan system despite the fact that the efficient pixel pitch is very close to the lower limit of the 8 to 12 um infrared waveband.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.006 |
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".