基于标值点过程改进的遥感道路提取新算法  

Road network extraction from remote sensing image based on modified marked point process

作　　者：何建农[1] 钟顺虹[1] 

机构地区：[1]福州大学数学与计算机科学学院,福州350002

出　　处：《计算机工程与应用》2013年第17期150-153,共4页Computer Engineering and Applications

基　　金：国家自然科学基金(No.50877010)

摘　　要：研究了标值点过程的道路提取算法,针对传统数据模型提取道路不够准确的缺点,改进了数据模型。提出了基于边缘检测的生灭转移核,避免了传统的生灭过程搜索的盲目性,大大加快了算法的收敛速度。针对传统转移核容易破坏线段的连接性的缺点,定义了多种新型的RJMCMC转移核,重新设计了基于邻域的生灭转移核及线段参数转移核。仿真结果表明,改进算法大大提高了收敛速度,并且提取的道路网络更准确,更连续。The road network extracted by the traditional data model is not accurate enough, so a new data model is defined. The traditional birth-death process of searching is blindness and a new proposal nuclear is proposed based on edge detection, and it is greatly accelerating the convergence speed. For traditional proposal will destroy connectivity of the network, it designs a new proposal nuclear based on birth and death of the neighborhood and a new parameters proposal nuclear. Experimental results show that the improved algorithm greatly improves the convergence rate, and the extracted road networks are more accurate and continuous.

关 键 词：道路提取 标值点过程 可逆跳跃马尔可夫链蒙特卡罗方法(RJMCMC) 转移核 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]