摘要
以单传感器地形信息作为主要研究内容,提出了地形高程数据的预处理和地形特征提取算法,并对地形的坡度和粗糙度信息进行了相应的识别和提取.首先基于双线性插值算法实现了高程数据重采样,以保证地形特征数据源的精度;然后基于最小中值平面拟合算法完成了地形坡度和表面粗糙度的提取,并建立了相应的数学模型.通过以火星数字地形图作为测试原型进行仿真,证明所提出的基于单传感器的地形信息的地形信息提取方法是有效且可靠的.该方法为目标地形坡度和粗糙度特征信息识别以及地形风险评估提供了一种新的研究思路.
Taking terrain information based on a single sensor as the main contents,the paper proposes the terrain elevation data preprocessing and terrain feature extraction algorithm,and the terrain slope and roughness information are identified and extracted.Firstly,the bilinear interpolation algorithm achieves elevation data resampling to ensure the accuracy of terrain feature data source,then the minimum fitting algorithm completes the extraction of terrain slope and surface roughness and establishes corresponding mathematical models.The Mars Digital Topographic Map is used to make the simulation test and the terrain information extraction method is proved to be effective and reliable.This provides a new research approach for identifying the features of terrain slope,roughness and risk assessment.
出处
《菏泽学院学报》
2017年第5期39-44,共6页
Journal of Heze University
基金
江苏省职业技术教育学会立项课题(XHXS2015042)