多特征遥感图像配准与参数优化

Wanjing Zhao, Yang Yang, Kun Yang
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引用次数: 0

摘要

遥感图像配准在农业和军事领域发挥着至关重要的作用,广泛应用于农业和城市土地利用规划、军事毁损评估、环境监测等领域。本文提出了一种基于多特征和参数优化的图像配准方法。其中有一个贡献,参数$L$在局部特征中被优化。并对不同配准方式下的参数进行了优化,以提高配准精度。我们通过一系列来自Google Earth的遥感图像评估了所提出方法的性能,并与五种最先进的方法进行了比较。我们的方法在大多数情况下显示出最佳对齐。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Remote Sensing Image Registration with Multiple Features and Parameter Optimization
Remote sensing image registration plays an essential role in agriculture and military fields, it has been widely used in agriculture and urban land use planning, military damage assessment, and environmental monitoring, etc. In this paper, we propose an image registration method based on multiple features and parameter optimization. Which has a contribution, the parameter $L$ is optimized in the local feature. And we optimize the parameter in different registration modes to promote the registration accurate. We evaluated the performances of the proposed method by a series of remote sensing images from Google Earth, and compared with five state-of-the-art methods. Where our method shows the best alignments in most scenarios.
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