吴小波, 杨辽, 沈金祥, 王杰. 利用空间连续性进行高分辨率遥感影像道路提取[J]. 武汉大学学报 ( 信息科学版), 2011, 36(11): 1298-1301.
引用本文: 吴小波, 杨辽, 沈金祥, 王杰. 利用空间连续性进行高分辨率遥感影像道路提取[J]. 武汉大学学报 ( 信息科学版), 2011, 36(11): 1298-1301.
WU Xiaobo, YANG Liao, SHEN Jinxiang, WANG Jie. Road Extraction from High-resolution Remote Sensing Images with Spatial Continuity[J]. Geomatics and Information Science of Wuhan University, 2011, 36(11): 1298-1301.
Citation: WU Xiaobo, YANG Liao, SHEN Jinxiang, WANG Jie. Road Extraction from High-resolution Remote Sensing Images with Spatial Continuity[J]. Geomatics and Information Science of Wuhan University, 2011, 36(11): 1298-1301.

利用空间连续性进行高分辨率遥感影像道路提取

Road Extraction from High-resolution Remote Sensing Images with Spatial Continuity

  • 摘要: 常规道路提取方法需要初始信息,对窄道路提取效果不佳。针对这一问题,提出了基于空间连续性提取道路的算法模型(RESC)。该方法根据遥感影像道路连续分布的特点,利用邻近像元空间自相关的先验信息提取道路,不要求预先提供种子点,自动化程度较高。实验分析和比较证明,该方法对于高分辨率遥感多光谱影像和全色影像,都达到了较好的效果。

     

    Abstract: A new road extraction algorithm model—RESC(road extraction of spatial continuity) based on the spatial continuity is proposed.It is based on road characteristics of continuous distribution in remote sensing image and adjacent pixel have prior infommtion of spatial autocorrelation,and does not need beforehand offer seed,so it have most automated.The high resolution multi-spectral image and pan remote sensing image were chosen to prove that the method of this study is promising.

     

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