首页> 外文会议>Proceedings of joint international agricultural conference (JIAC 2009) >GRASSLAND AMELIORATION BASED ON SPATIAL FREQUENCY ANALYSIS
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GRASSLAND AMELIORATION BASED ON SPATIAL FREQUENCY ANALYSIS

机译:基于空间频率分析的草原改善

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The objectives of this study were to establish criteria for grassland amelioration and to establish a method for design of grassland amelioration using spatial information on the grassland. To obtain criteria for grassland amelioration, the terrain of the grassland was resolved into spatial frequency by discrete Fourier transform (DFT) using a digital elevation model (DEM). The DEM was generated by a GIS map based on terrain information obtained before and after the grassland amelioration. Then the criteria for grassland amelioration were obtained from the relationship between geographical features and spatial frequency by investigating large differences in spatial frequency before and after the grassland amelioration. Determination of the precise location of the grassland surface is essential for obtaining a GIS map based on terrain information. A real-time kinematical global positioning system (RTK-GPS) was therefore used to obtain terrain information and also to determine the tractor's precise position. In addition, an inertial measurement unit (IMU) was used to determine swaying motions (yaw, pitch and roll) of the tractor. These data were used to correct the GPS position and to obtain accurate terrain data. It was found that spatial frequencies showing large differences before and after grassland amelioration were in the range of 0.02 to 0.05[1/m]. Moreover, smooth geographical features of grassland were obtained by deleting spatial frequencies of 0.02~0.05[1/m] from the geographical features before the grassland amelioration. The validity of design data was investigated from design data and amelioration topography data obtained by DFT and IDFT. As a result, the coefficient of determination was 0.7 with a root mean squared error of 0.17. The areas in which field amelioration are necessary can be extracted by the frequency analysis method for geographical features, and the terrain after field amelioration can be predicted by only measuring the geographical features before field amelioration. Then, the design method with a spatial filter was developed in this research analyzing grassland amelioration by the skilled engineer. A RTK-GPS and an IMU were installed in a tractor to obtain data on topographical features before and after field amelioration, and the amplitude change under the spatial frequency domain was analyzed. It was found that amplitude at the frequency of 0.04[m-1] (wavelength of 25 m) was reduced dramatically by the field amelioration. A spatial filter was made to mainly eliminate frequency of 0.04[m-1]. By applying the designed filter, the surface of the land before amelioration became relatively flat, similar to the land after amelioration. Moreover, there was a strong correlation between cut and fill depths of actual ameliorated land and the filtered land. The results suggest that the developed system can be applied to a construction plan of grassland.
机译:这项研究的目的是建立草原改善标准,并利用草地上的空间信息建立草原改善设计方法。为了获得改善草地的标准,使用数字高程模型(DEM)通过离散傅里叶变换(DFT)将草地的地形解析为空间频率。 DEM是由GIS地图根据草原改良前后获得的地形信息生成的。然后,通过调查草原改良前后空间频率的巨大差异,从地理特征与空间频率之间的关系中得出草原改良标准。确定草地表面的精确位置对于获取基于地形信息的GIS地图至关重要。因此,实时运动学全球定位系统(RTK-GPS)用于获取地形信息并确定拖拉机的精确位置。此外,惯性测量单元(IMU)用于确定拖拉机的摇摆运动(偏航,俯仰和横滚)。这些数据用于校正GPS位置并获得准确的地形数据。结果表明,草原改善前后的空间频率差异较大,为0.02〜0.05 [1 / m]。此外,从草地改善之前的地理特征中删除0.02〜0.05 [1 / m]的空间频率,即可获得草地的平滑地理特征。从DFT和IDFT获得的设计数据和改善的地形数据中研究了设计数据的有效性。结果,确定系数为0.7,均方根误差为0.17。可以通过地理特征频率分析方法提取需要改善的区域,仅通过测量改善前的地理特征就可以预测改善后的地形。然后,在这项研究中,由熟练的工程师开发了一种使用空间滤波器的设计方法,以分析草地的改善情况。在拖拉机改善之前和之后,将RTK-GPS和IMU安装在拖拉机上以获取地形特征数据,并分析了空间频域下的振幅变化。已经发现,通过改善磁场,频率为0.04 [m-1](波长为25 m)的幅度大大降低了。制作了一个空间滤波器,主要消除了0.04 [m-1]的频率。通过应用设计的过滤器,改善前的土地表面变得相对平坦,类似于改善后的土地。此外,实际改善土地和过滤土地的挖填深度之间有很强的相关性。结果表明,所开发的系统可以应用于草地建设计划。

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