OBTENCIÓN DE GEOINFORMACIÓN A PARTIR DE LA CÁMARA DIGITAL NO MÉTRICA NIKON D1H
Bibliographic record
Abstract
The Pacific Contamination Control Center, CCCP, developed and implemented a methodology to capture space data from airborne platforms with the use of a CCD sensor (Charge Coupled Device). The methodological process includes the design and elaboration of a mechanical device of support, which was assembled to ensure the orthogonality of the camera's lens with respect to land, on board Colombian Army air platforms, during flight, and adapting hardware and specific software to support intercommunication between the GPS, the PC and the CCD, to obtain real time controUed photos. In order to obtain better accuracy, the photos were georeferenced from a differential satellital correction using WAAS 's (WideArea Augmentation System) free service. This system allows obtaining geographical coordinates of the main point of the picture referenced in WGS 84, reducing the necessary photocontrol to apply colinearity equations. Photos are then taken through processes such as calibration of sensor in function of the focal distance of the camera and adjustment by the mínimum square method to reduce radial distortion of de lens. The first photos were used to calíbrate the system (capture, georeference and calibration of the sensor). Based on the results obtained during the experimentation phase, a flight pattern was designed over the municipality of Tumaco, controlling the flight height and the speed of the air platform (Huey helicopters), as well as the time of exposure, keeping a transversal and longitudinal overlap of 60% and 25% respectively in each exposure. As main result a panoramic view was obtained with an accuracy expected byinvestigators, of the coastal border of Tumaco2, useful to DIMAR in the process of generating and updating cartography, or for any entity that has an interest in obtaining information of this región of the country. Another potential use of this investigation is based on the sharpness of the information captured by the sensor; transforming this product, into a military tool, if advantage is taken of the space resolution and the combination of different spectral ranges of the photos obtained.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.023 | 0.010 |
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".