倪欢, 林祥国, 宁晓刚. 直角点特征引导的遥感影像居民地提取方法[J]. 武汉大学学报 ( 信息科学版), 2017, 42(5): 648-655. DOI: 10.13203/j.whugis20140825
引用本文: 倪欢, 林祥国, 宁晓刚. 直角点特征引导的遥感影像居民地提取方法[J]. 武汉大学学报 ( 信息科学版), 2017, 42(5): 648-655. DOI: 10.13203/j.whugis20140825
NI Huan, LIN Xiangguo, NING Xiaogang. A Method for Extracting Human Settlements from Remote Sensing Image Using Right Angle Corners Features[J]. Geomatics and Information Science of Wuhan University, 2017, 42(5): 648-655. DOI: 10.13203/j.whugis20140825
Citation: NI Huan, LIN Xiangguo, NING Xiaogang. A Method for Extracting Human Settlements from Remote Sensing Image Using Right Angle Corners Features[J]. Geomatics and Information Science of Wuhan University, 2017, 42(5): 648-655. DOI: 10.13203/j.whugis20140825

直角点特征引导的遥感影像居民地提取方法

A Method for Extracting Human Settlements from Remote Sensing Image Using Right Angle Corners Features

  • 摘要: 提出了一种基于直角点统计特征的高分辨率遥感全色图像居民地提取方法。首先,分别检测全色图像中的直角点、直线段;然后,利用直角点邻边的长度约束进一步优化直角点;接着,通过构建直角点缓冲区投影的方式生成特征图像;最后,二值化特征图像提取居民地信息。实验结果表明,与角点、直线以及未限制邻边长度直角点的统计特征对比,邻边长度约束的直角点统计特征更能反映居民地信息,有效克服了同样具有较多角点与直线特征的道路、车辆、农田田埂等地物对居民地提取的负面影响。与已有的PanTex指数方法相比,所提方法不依赖于纹理的复杂程度,有效削弱了纹理复杂的非居民地区域对居民地提取的负面影响。

     

    Abstract: A method for extracting human settlements from high resolution remotely sensed panchromatic images using statistical characteristics of right angle corners is proposed in this paper. First, both right angle corners and straight lines are extracts from the images. Second, each right angle corner is optimized, based on the constraint of the lengths of two supporting straight lines. Third, a feature image is derived by projecting each right angle corner into its buffer zone. At last, human settlements are extracted by thresholding the feature image. Comparing the statistical characteristics based on the corners, straight lines and right angle corners without the constraints of the lengths of their supporting straight lines, the statistical characteristic based on right angle corners with the constraints of the lengths of their supporting straight lines is better to separate the human settlements from the others. This can decrease the negative effects of the roads, vehicles, the farmland ridges with both corners, and straight lines features. In addition, as compared with the existing methods for human settlement extraction using the PanTex Index, the proposed method is independent of the complexity of the textures, which can decrease the negative effects of complex textures.

     

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