摘要
以目标地形为主要研究内容,给出飞行器目标地形灰度图像的地形特征模糊变量及其隶属函数的确定方法,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 the target topography as the main research contents, the method for determining the topographic features and the membership function of fuzzy variables are researched, and the corresponding extraction of topographic feature is done. The basic principle of the fuzzy rules and membership functions 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 risk assessment of target terrain of single sensor target based on fuzzy logic is feasible. It will provide a new research approach for target information recognition and topography risk assessment ac- curately.
出处
《计算机与数字工程》
2013年第11期1832-1834,共3页
Computer & Digital Engineering
关键词
单传感器
灰度图像
粗糙度
模糊逻辑
single sensor
gray image, surface roughness, fuzzy logic