...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of Applied Remote Sensing >Multifeature energy optimization framework and parameter adjustment-based nonrigid point set registration
【24h】

Multifeature energy optimization framework and parameter adjustment-based nonrigid point set registration

机译：基于Multifeature能量优化框架和基于参数调整的非rigid点设置注册

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Nonrigid point set registration is a key technology in the field of remote sensing image registration, which is widely used in military and civil fields such as natural disaster damage assessment, agricultural and urban land-use planning, environmental quality monitoring, and ground target identification. We present a multifeature energy optimization framework and parameter adjustment-based nonrigid point set registration that has three contributions: (1) an energy optimization framework is designed to freely combine multiple features for estimating correspondences between two point sets, (2) the thin-plate spline and Gauss radial basis function transformation models can be optionally implemented for solving two-dimensional, three-dimensional, or higher-dimensional registration problems, and (3) the free parameters can be adjusted by the proposed three parameter adjustment approaches to yield higher registration accuracy in varied registration patterns. We test the performances of our method in contour point sets, sequence images, remote sensing images, medical images, and real images and compare with 10 state-of-the-art methods, where our method shows favorable performances in most scenarios. (C) 2018 Society of Photo-Optical Instrumentation Engineers (SPIE)
机译：Nonrigig点设置注册是遥感图像配准领域的关键技术，广泛应用于自然灾害损伤评估，农业和城市土地利用规划，环境质量监测和地面目标识别等军事和民间领域。我们呈现了一种多因素能量优化框架和基于参数调整的非防护点设置注册，具有三个贡献：（1）能量优化框架设计用于自由组合多个特征，以估计两点组之间的对应关系，（2）薄板之间的相应样条和高斯径向基函数变换模型可以可选地实现用于解决二维，三维或更高维的登记问题，并且（3）可以通过提出的三个参数调整方法来调整自由参数，以产生更高的注册可变登记模式的准确性。我们在轮廓点集合，序列图像，遥感图像，医学图像和真实图像中测试我们的方法的性能，并与10个最先进的方法进行比较，在大多数情况下，我们的方法在大多数情况下显示有利的性能。 （c）2018年光学仪表工程师协会（SPIE）

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号