在森林环境中使用立体图像进行视觉辅助定位和绘图
1Department of Forest Engineering, Resources and Management, College of Forestry, Oregon State University, Corvallis, OR 97331, USA.
Sensors (Basel, Switzerland)
|August 26, 2023
概括
本研究提出了一种用于准确森林库存的综合方法,将基于摄像头的运动探测与全球导航卫星系统 (GNSS) 定位相结合起来. 该方法产生精确的实时树干图,改进了用于加强森林管理的传统方法.
科学领域:
- 林业科学 林业科学
- 遥感 遥感 遥感 遥感
- 地理学工程 工程地质学
背景情况:
- 传统的森林库存依赖于标准级描述符,限制了详细的空间分析.
- 准确的个体树木绘制对于理解森林生态系统和优化林业实践至关重要.
- 现有的空中和地面方法在直接估计树测量变量方面存在局限性,或者受到全球导航卫星系统 (GNSS) 准确度的限制.
研究的目的:
- 开发和验证高分辨率个体树木映射的综合方法.
- 提高森林干地图的准确性和实时生成.
- 通过详细的空间和树枝测量数据,改进特定地点的林业农业处方.
主要方法:
- 集成基于摄像头的运动和树木检测系统与GNSS定位.
- 开发一种视觉自我运动估计算法,以提高GNSS定位一致性.
- 应用最小正方形最小化技术来优化姿势轨迹和树干位置.
主要成果:
- 实时生成大规模干图,根的平方位误差为2.16m.
- 实现了使用消费级GNSS接收器单独的两倍精度.
- 证明了森林空间结构详细分析的综合方法的有效性.
结论:
- 集成的摄像机-GNSS方法显著提高了个别树木映射的准确性.
- 实时树干地图生成有助于及时和明智的森林管理决策.
- 这种方法为详细的森林库存和精密林业提供了强大的框架.
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