Computer Engineering and Applications ›› 2013, Vol. 49 ›› Issue (17): 150-153.

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

HE Jiannong, ZHONG Shunhong   

  1. College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350002, China
  • Online:2013-09-01 Published:2013-09-13



  1. 福州大学 数学与计算机科学学院,福州 350002

Abstract: 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.

Key words: road extraction, marked point process, reversible jump Markov chain Monte Carlo method, proposal nuclear

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。

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