基于灰度图像的地形粗糙度提取方法

Research of Surface Roughness Extraction of Topography from Gray Images

以地形粗糙度为主要研究内容,给出飞行器目标地形灰度图像的预处理算法和地形粗糙度提取算法,并完成了计算单元地形特征提取。分析了基于噪声特性和退化函数算法算法的灰度图像滤波的基本原理;研究了基于合适尺寸计算单元灰度算法的目标地形粗糙度提取算法,并建立了相应的数学模型;通过应用某数字地形灰度图像进行仿真验算,证明了基于灰度图像的地形粗糙度信息提取方法的可行性;为精确识别地外行星目标地形信息并对地形进行风险评估提出了一种新的研究思路。

Based on surface roughness of target topography as the main research contents, the preprocessing of topographic gray images and extraction algorithm of topographic feature are researched, and the corresponding extraction of topographic feature is done. The basic principle of gray image filter based on noise characteristics and degraded function algorithm is analyzed. The extraction algorithm of topographic surface roughness based on calculation unit of gray image with appropriate dimension is researched, and the corresponding mathematical model is established. By simulation and checking calculation of an image of a certain digital topography example, it is proved that the extraction method of topographic information based on gray images is feasible. It will provide a new research approach for target information recognition and topography risk assessment accurately.