Canadian Airborne Hyperspectral Imager Development
Bibliographic record
Abstract
The Defense Research and Development Canada (DRDC) has embarked on a Technical Demonstration Program (TDP) to develop an airborne Hyperspectral Imaging System (HSI). This instrument is mounted in a Convair 580 turbo propeller driven aircraft and covers the 1.6 to 12 micron region of the electromagnetic spectrum. The spatial sampling of this system is determined by an 8x8 element detector array. Two arrays are operated simultaneously to cover the entire spectral region (InSb technology to cover 1.6 to 5.3 um region and HgCdTe technology to cover 2.5 to 12 um region). The spectral sampling is generated using a Fourier Transform spectrometer with a spectral resolution ranging from 1 to 16 cm- 1. The frame rate of the system is variable (minimum of 16 Hz at 4 cm-1 spectral resolution). The instantaneous field-of-view (IFOV) of the instrument can be changed from 1.1 to 3.3 mrad, by interchanging collection telescopes (9x or 3x). The total field-of-view (TFOV) of this HSI is therefore small (8xIFOV) but may be pointed over a field-of-regard (FOR) 8 time that of the TFOV. In addition, Wide-FOV broadband cameras, operating in the visible, mid-wave and long-wave infrared bands, are used to register the entire FOR. An GPS/INS system is used to guide the pointing of the imaging spectrometer module. This instrument is essentially nadir looking and is based on the Ground-to-Air spectral imaging system (PIRATE) developed at DRDC Valcartier. The PIRATE system has been used to measure the 2-5 micron region with similar spatial and spectral resolutions as the airborne system. This project has completed the three-year system design and construction phase and is in the process of field testing (up to four distinct scenarios) to evaluate its performance and begin assessing the Military Utility of Airborne Hyperspectral Imagery . This paper will describe the instrumentation and present selected preliminary results.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.033 | 0.011 |
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".