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首页> 外文期刊>Journal of Forest Planning >Data Fusion Based Multi-Sensor System High Accuracy Forest Management
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Data Fusion Based Multi-Sensor System High Accuracy Forest Management

机译：基于数据融合的多传感器系统高精度森林管理

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摘要

In order to meet the needs of society's increasing demands for forest products in the coming years, sustainable forestry must become more efficient. Therefore, we propose to bring aerial and terrestrial survey technologies into the forest, as well asvirtual production strategies, which are well-established in manufacturing. Precise position information of forest work machines and individual trees are necessary for a highly accurate navigation in the forest. As GPS does not provide the required accuracy, especially under a closed canopy, we propose a new localization approach based on a multi-sensor system. The approach will help to preserve the forest health while raising efficiency and enables applications based on highly accurate position information. The first part of this article gives a review on common localization strategies. The next part introduces the components of the sensor system in detail. In the third part the underlying principles are clarified and examples are given of how these are applied to new applications in forestry. The results are evaluated and compared to conventional measurement techniques.
机译：为了满足未来几年社会对林产品日益增长的需求，可持续林业必须变得更有效率。因此，我们建议将航空和陆地测量技术以及在生产中已确立的虚拟生产策略引入森林。要在森林中进行高度精确的导航，必须要有精确的林业工作机和树木的位置信息。由于GPS无法提供所需的精度，尤其是在封闭的树冠下，因此我们提出了一种基于多传感器系统的新定位方法。该方法将有助于在保持森林健康的同时提高效率，并使基于高度精确位置信息的应用成为可能。本文的第一部分对常见的本地化策略进行了回顾。下一部分将详细介绍传感器系统的组件。在第三部分中，阐明了基本原理，并举例说明了这些原理如何应用于林业的新应用。评估结果并将其与常规测量技术进行比较。

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