Magnetic data has been widely applied in the tectonic division.High-resolution magnetic data were used to analyze the geotectonic zoning of the South China Sea.Based on the newly compilated magnetic data,the processin...Magnetic data has been widely applied in the tectonic division.High-resolution magnetic data were used to analyze the geotectonic zoning of the South China Sea.Based on the newly compilated magnetic data,the processing results and the distribution of known faults,we consider that the U-shaped line approximately along the South China Sea national boundary of China shown in the magnetic map is a significant geological and geophysical boundary.We first described the linear characteristics of the magnetic data and then applied pseudo-gravity,Euler deconvolution,tilt derivatives,and the texture segmentation method to process the data.Results show that the dividing line between the South China Sea and the surrounding blocks is approximately along this U-shaped line.The dividing line between the South China domain and the South China Sea domain is along with the Dongsha Islands to Xisha Trough,which is different from the previous geophysical zoning results.Our results are almost consistent with those of the gravity data indicating roughly the tectonic zonation along the U-shaped line.展开更多
将基于像素MRF分割方法拓展到基于地物目标几何约束的区域MRF分割,提出了一种基于区域和统计的纹理影像分割方法,其基本思想是利用Voronoi划分技术将影像域划分为若干子区域。在此基础上,采用二值高斯马尔科夫随机场(BGMRF,bivariate Ga...将基于像素MRF分割方法拓展到基于地物目标几何约束的区域MRF分割,提出了一种基于区域和统计的纹理影像分割方法,其基本思想是利用Voronoi划分技术将影像域划分为若干子区域。在此基础上,采用二值高斯马尔科夫随机场(BGMRF,bivariate Gaussian Markov random field)模型,静态随机场模型和Potts模型从邻域、区域及全局层次描述影像的纹理结构,并将该纹理结构模型纳入贝叶斯框架;依据贝叶斯定理构建纹理影像分割模型;利用metropolis-hastings(M-H)算法进行模型参数估计,并依据最大后验概率(MAP,maximum a posterior)准则进行优化,从而完成纹理影像分割。为了验证所提出方法的正确性,分别对合成纹理影像,真实纹理影像及遥感影像进行了分割实验,定性和定量的测试结果验证了提出方法的有效性、可靠性和准确性。展开更多
针对车载激光雷达(light detection and ranging,LiDAR)点云数据的不完整性问题,提出一种车载LiDAR点云数据分割以及基于分割后点云数据的半自动化建模方法。首先对点云数据进行标准格式转换及稀化;然后以不同地物的属性和几何特征为分...针对车载激光雷达(light detection and ranging,LiDAR)点云数据的不完整性问题,提出一种车载LiDAR点云数据分割以及基于分割后点云数据的半自动化建模方法。首先对点云数据进行标准格式转换及稀化;然后以不同地物的属性和几何特征为分割条件,分别建立道路、建筑物、树和路灯等附属设施的三维模型,并利用车载以及航空图像的纹理信息辅助建筑物的立面和顶面三维建模;最后以真实街景为实验区,基于拓普康IP-S2车载LiDAR点云数据,完成该街景的分割与建模。实验结果表明,该文提出的点云数据分割与街景地物重建方法比较简单,可实现道路和建筑物的半自动化分割;利用成熟的建模软件和方法,实现了建模的完整性和较强的可靠性。展开更多
基金Supported by the Geological Survey Project of China(Nos.DD20191001,DD20191004,DD20189410)the National Key R&D Program of China(No.2017YFC0602000)。
文摘Magnetic data has been widely applied in the tectonic division.High-resolution magnetic data were used to analyze the geotectonic zoning of the South China Sea.Based on the newly compilated magnetic data,the processing results and the distribution of known faults,we consider that the U-shaped line approximately along the South China Sea national boundary of China shown in the magnetic map is a significant geological and geophysical boundary.We first described the linear characteristics of the magnetic data and then applied pseudo-gravity,Euler deconvolution,tilt derivatives,and the texture segmentation method to process the data.Results show that the dividing line between the South China Sea and the surrounding blocks is approximately along this U-shaped line.The dividing line between the South China domain and the South China Sea domain is along with the Dongsha Islands to Xisha Trough,which is different from the previous geophysical zoning results.Our results are almost consistent with those of the gravity data indicating roughly the tectonic zonation along the U-shaped line.
文摘将基于像素MRF分割方法拓展到基于地物目标几何约束的区域MRF分割,提出了一种基于区域和统计的纹理影像分割方法,其基本思想是利用Voronoi划分技术将影像域划分为若干子区域。在此基础上,采用二值高斯马尔科夫随机场(BGMRF,bivariate Gaussian Markov random field)模型,静态随机场模型和Potts模型从邻域、区域及全局层次描述影像的纹理结构,并将该纹理结构模型纳入贝叶斯框架;依据贝叶斯定理构建纹理影像分割模型;利用metropolis-hastings(M-H)算法进行模型参数估计,并依据最大后验概率(MAP,maximum a posterior)准则进行优化,从而完成纹理影像分割。为了验证所提出方法的正确性,分别对合成纹理影像,真实纹理影像及遥感影像进行了分割实验,定性和定量的测试结果验证了提出方法的有效性、可靠性和准确性。
文摘针对车载激光雷达(light detection and ranging,LiDAR)点云数据的不完整性问题,提出一种车载LiDAR点云数据分割以及基于分割后点云数据的半自动化建模方法。首先对点云数据进行标准格式转换及稀化;然后以不同地物的属性和几何特征为分割条件,分别建立道路、建筑物、树和路灯等附属设施的三维模型,并利用车载以及航空图像的纹理信息辅助建筑物的立面和顶面三维建模;最后以真实街景为实验区,基于拓普康IP-S2车载LiDAR点云数据,完成该街景的分割与建模。实验结果表明,该文提出的点云数据分割与街景地物重建方法比较简单,可实现道路和建筑物的半自动化分割;利用成熟的建模软件和方法,实现了建模的完整性和较强的可靠性。
