A wavelet integrated image fusion approach for target detection in very high resolution satellite imagery
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
Commercially available very high resolution satellite imagery has reached a sub-meter ground resolution for panchromatic imagery and a few meters of resolution for multispectral imagery (e.g., QuickBird panchromatic 0.6m and multispectral 2.4m). Ground targets such as vehicles can be clearly recognized in the panchromatic imagery, but difficult in the multispectral imagery. For automatic target detection, however, it is desired to have sub-meter multispectral imagery. This paper introduces a new wavelet integrated image fusion approach to produce a sub-meter multispectral image by combining a sub-meter panchromatic image with a several-meter multispectral image. The characteristics of the wavelet transform for spatial detail extraction and advantages of the IHS (Intensity Hue Saturation) fusion techniques are integrated. QuickBird panchromatic and multispectral images are fused. The results are compared with those of other existing image fusion techniques. Visual analyses demonstrate that the new wavelet integrated approach achieves better results for target detection.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| 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 it