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作 者:李宁霄 LI Ning-xiao(Liaoning Heku Management Service Center(Liaoning Hydrological Bureau),Shenyang 110003,China)
机构地区:[1]辽宁省河库管理服务中心(辽宁省水文局),沈阳110003
出 处:《水利科技与经济》2021年第9期95-99,共5页Water Conservancy Science and Technology and Economy
摘 要:传统配准方法对于大坝施工遥感图像的配准性能较差,因此提出一种基于Cult3D的大坝工程施工图像智能配准方法。首先创建基于Cult3D的三维模型,方便施工参照;设计Cult3D建模开发流程,完成模型的交互和拼接,明确图像中特征点标记要求并进行匹配;最后对图像进行变换,完成配准。实验结果表明,所设计的图像智能配准方法性能与原有方法相比有一定提高。The registration performance of remote sensing images for dam construction by traditional registration methods is poor.Therefore,an intelligent registration method for dam construction images based on Cult3D is proposed.Firstly,a three-dimensional model based on Cult3D is created for the convenience of construction reference,and the Cult3D modeling and development process is designed to complete the interaction and stitching of the model.The marking requirements of feature points in the image are defined and matched.Finally,the image is transformed to complete the registration.The experimental results show that the performance of the designed intelligent image registration method is improved compared with the original method.
分 类 号:TV64[水利工程—水利水电工程]
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