用无人机热成像检测地雷，夜间准确率达88%
UAV-based detection of landmines using infrared thermography
- 无人机搭载热相机采集矿场图像
- 夜间检测准确率接近88%且成本低
- 适合人道主义排雷与高危区域巡查
地雷仍是全球冲突地区普遍存在的威胁，每95分钟就有一人受害，其中大量为无辜平民。现有探测方法效率低、成本高且对操作员存在风险。本文提出一种新型、高效、安全且低成本的地雷探测方案：利用无人机搭载热成像相机获取矿区高分辨率图像，传输至地面计算机后，通过先进图像处理算法识别地雷。结果表明，该方法在夜间表现尤为出色，检测准确率接近88%，显著优于受设计局限的现有技术。
原文摘要 · Abstract (English)
Landmines remain a pervasive threat in conflict-affected regions worldwide, exacting a toll on innocent lives. Shockingly, every 95 minutes, another individual becomes a victim of these lethal explosive devices (Landmines Monitor 2022 2022), with a significant proportion being innocent civilians. Current methods for landmine detection suffer from inefficiency, high costs, and risks to the operator and system integrity. In this paper, we present a novel, efficient, safe, and cost-effective approach to unearth these hidden dangers. Our proposed method integrates an unmanned aerial vehicle (UAV) with a thermal camera to capture high-resolution images of minefields. These images are subsequently transmitted to a base computer, where a state-of-the-art image processing algorithm is applied to identify the presence of landmines. Notably, our solution performs exceptionally well, particularly during evening hours, achieving an impressive detection accuracy of nearly 88%. These results exhibit great promise when compared to existing methods constrained by their design limitations.
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