3D PHOTOGRAMMETRIC PROCESSING OF WORLDVIEW-2 DATA WITHOUT GCP
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract. A hybrid model based on 3D deterministic Toutin's model developed at the Canada Centre for Remote Sensing and taking full advantages of the image metadata was used for the 3D photogrammetric processing of WorldView-1 stereo images without in situ ground control points (GCP) collection. The accuracy of the modelling results in monoscopy and stereoscopy was around 0.7-1.8 m in planimetry and 2.7 m in altimetry computed over 40 dGPs checked points. Elevations were thus extracted and compared to 0.2 m accurate lidar elevation data. Elevations linear error with 68 percent confidence level (LE68) computed over bare surfaces was 2.6 m, with small biases. These results were compared with the solution using 8 dGPS GCPs and demonstrated there is no significant difference in auccuracy. Consequently, the new hybrid model will offer a strong advantage of no-control collection in operational conditions, mainly in remote and harsh environments or when cartographic or ground control data do not exist.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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