基于地形熵和MAD的综合地形匹配算法  

Terrain Matching Algorithm Based on Terrain-entropy and MAD

作　　者：王伟[1] 谢燕武[1] 李爱军[1] 

机构地区：[1]西北工业大学自动控制系,西安710072

出　　处：《弹箭与制导学报》2006年第S9期1015-1017,共3页Journal of Projectiles,Rockets,Missiles and Guidance

基　　金：西北工业大学英才培养计划资助项目(03XD0103)

摘　　要：提出了一种基于地形熵和近似度量的地形匹配算法。因为地形熵算法对地形数据做了归一化处理,有利于大范围地形匹配,但因其丢掉了地形的相对位置信息而导致了匹配误差容易发散的问题;近似度量算法适合小范围的地形匹配,文中采取利用地形熵算法进行粗配,然后近似度量算法进行精配的方法改进了地形匹配算法在地形跟随/地形回避中应用的性能。最后根据分形学中Weierstrass-Mandelbrot函数产生了模拟的数字地图,并用MATLAB对该算法作了仿真研究,仿真结果表明该算法提高了地形匹配的定位精度和速度。The paper introduces a improved terrain-matching navigation algorithm which based on minimum absolute difference and terrain-matching.The primary bug of terrain-entropy algorithm is that discards the relative position in- formation of terrain data and normalized proeessing;the application scope of minimum absolute difference algorithm is limited.Based on this,the terrain-entropy algorithm and minimum absolute difference algorithm is synthesized,the performance of terrain-matching algorithm is improved.To improve the terrain-matching navigation algorithm is in effect,produces the simulated digital maps by computer on topography of Weierstrass-Mandelbrot function on matlab for simulation.The better results are obtained by research of simulation.

关 键 词：地形匹配 地形熵 近似度量算法 

分 类 号：P208[天文地球—地图制图学与地理信息工程]