刘金成, 冯仲科, 杨立岩, Abdul Mannan. 实时动态多功能双目立体摄影测树仪设计[J]. 农业工程学报, 2018, 34(22): 61-68. DOI: 10.11975/j.issn.1002-6819.2018.22.008
    引用本文: 刘金成, 冯仲科, 杨立岩, Abdul Mannan. 实时动态多功能双目立体摄影测树仪设计[J]. 农业工程学报, 2018, 34(22): 61-68. DOI: 10.11975/j.issn.1002-6819.2018.22.008
    Liu Jincheng, Feng Zhongke, Yang Liyan, Abdul Mannan. Design of real - time kinematic multi-functional binocular stereo-photogrammetric dendrometer[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2018, 34(22): 61-68. DOI: 10.11975/j.issn.1002-6819.2018.22.008
    Citation: Liu Jincheng, Feng Zhongke, Yang Liyan, Abdul Mannan. Design of real - time kinematic multi-functional binocular stereo-photogrammetric dendrometer[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2018, 34(22): 61-68. DOI: 10.11975/j.issn.1002-6819.2018.22.008

    实时动态多功能双目立体摄影测树仪设计

    Design of real - time kinematic multi-functional binocular stereo-photogrammetric dendrometer

    • 摘要: 为了实现林木精准实时定位,满足森林资源调查中多因子精准计测的需求,研发了一种集单木像对解算和林分点云测量于一体的多功能、高精度、实时定位的实时动态(real - time kinematic, RTK)双目立体摄影测树仪。该仪器以摄影测量和全球导航卫星系统(global navigation satellite system, GNSS)空间定位技术为基础,利用三角函数原理、双目摄影测量解算原理和基于运动结构(structure from motion, SfM)视觉算法,通过内嵌操作软件,实现了林木位置实时定位及林分样木还原、胸径测量、树高测量、株树密度测量、林分空间结构参数测量等功能。通过试验验证,在单木测量模式下,能快速实现林木定位,其胸径测量精度为97.11%,树高测量精度为94.72%;在林分测量模式下,依"仿航线法"观测,能快速建立林分点云模型,并实现了林分调查因子和林分空间结构参数的高效提取,其中林分胸径提取精度达到97.18%。该仪器测量精度符合林业调查的精度要求,可在森林资源调查及精准林业工作中推广使用。

       

      Abstract: The construction of green ecological civilization is the key to ecologically sustainable development. The quick and accurate acquisition of multivariate forest resource factors is of great significance for the prompt understanding of forest ecosystem and its changing patterns. With the development of science and technology in the forestry survey, a variety of multifunctional dendrometers have been constructed, which basically solved the technical problems of forestry observation. However, there are still many deficiencies in existing forestry equipment, such as low integration degree, insufficient functions, high cost and low measurement accuracy. Currently, there is no dendrometer capable of obtaining accurate geographic location of trees. In this research, we designed a multi-function, high-precision and real-time positioning RTK (Real-Time Kinematic) binocular photogrammetric dendrometer. The main hardware components of the equipment included RTK module, CCD (Charge Coupled Device) image acquisition module, MEMS (Micro-Electro-Mechanical System) sensor position module, main control storage module-portable PDA (Personal Digital Assistant), while the auxiliary components included fixed cloud platform, lithium battery, and telescoping mast. The software was developed by a modular structure compiled in Android Studio 2.2 development environment based on the Java language. The equipment’s basic operating principle was based on multifunctional photogrammetry, GNSS (Global Navigation Satellite Systems) spatial positioning technology, trigonometric function principle, binocular photogrammetry principle and SfM (Structure from Motion) vision algorithm. The equipment had the capability to perform many functions such as the real-time position of trees, downsizing of sample trees in a forest stand, DBH (Diameter at Breast Height) measurement, tree height measurement, tree density measurement, and forest stand spatial structure parameter measurement. For the single tree measurement model, the real-time positioning of single trees, tree DBH and tree height measurement function was designed and implemented. And for forest stand measurement model, we proposed and implemented the “imitation route method”. The experiment was carried out on 30 test trees (including both coniferous and broad-leaved trees) of 4 different tree species we selected in Haidian district, Beijing, with single tree measurement mode. Our equipment measured the real-time tree position, DBH, and height of trees in the study area. This equipment had an advantage in measuring ancient trees, precious tree species, or trees that were difficult to measure manually. The results showed the accuracy of DBH measurement was 97.11%, and the accuracy of tree height measurement was 94.72%. To find the forest stand measurement, a relatively flat artificial forest in Haidian district of Beijing was selected as the experimental area, after considering the influence of topographic factors on measurement results. According to the terrain conditions, growth and distribution of trees, the scheme of “imitation route” was designed to obtain forest stand images. The pix4D commercial software was used for quick and accurate establishment of the three-dimensional point cloud model of the forest stand. Our results showed that the average DBH was 17.9 cm, while the average tree height was 18.26 m, density was 928 trees/hm2, angular scale was 0.675, size ratio was 0.625, and mingling intensity was 0.200. The accuracy in the measurement of the forest stand DBH was 97.18%, which was consistent with the measurement accuracy of 97.11% of the single tree measurement mode. The preliminary test verified that the RTK tree-meter had unique advantages in real-time measurement of the sample tree position and three-dimensional point cloud restoration of the stand. The forest stands investigation factors such as the position of trees, average DBH, average height, tree density and the spatial structure parameters of forest stand such as angle scale, size ratio and mixed degree were extracted efficiently, which had a positive effect on the research of small and medium-sized forest plots. The precision of this equipment was in the range specified in China's national forest resources continuous inventory technical regulations (2014 edition) and meets with the requirements of forest survey.

       

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