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Evidence record 14537 · automatically gathered

Human-in-the-Loop Signature Bootstrapping for UAV Hyperspectral PFM-1 Mine Detection

Hyperspectral imaging (HSI) is useful for material discrimination, but operational mine screening also depends on how many false alarms must be inspected before targets are found. This paper studies PFM-1 landmine detection in unmanned aerial vehicle (UAV) visible and near-infrared (VNIR) HSI using spectral angle mapper (SAM), matched filter (MF), adaptive coherence estimator (ACE), and constrained energy minimization (CEM). We compare a ground-measured SVC signature, a fully informed in-scene c

Record details

Published: 27 July 2026
Source: HuggingFace Daily Papers
Category: Research
Topics: Bias & fairness · Environment
Retrieved: 30 July 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

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How to cite this record

ethics.ai (27 July 2026), “Human-in-the-Loop Signature Bootstrapping for UAV Hyperspectral PFM-1 Mine Detection,” evidence record 14537, https://ethics.ai/record/14537 (originally published by HuggingFace Daily Papers).

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