液晶与显示, 2016, 31 (6): 604, 网络出版: 2016-11-14   

多源遥感影像高精度自动配准方法研究

High accuracy-automatic registration method research on multi-source remote sensing image
作者单位
东北林业大学 信息与计算机工程学院, 黑龙江 哈尔滨 150040
摘要
针对遥感影像本身存在纹理差异, 特征点提取不均匀的自动配准问题, 提出了一种新的多源遥感影像高精度自动配准方法。首先, 对Harris算子进行了改进, 使其提取特征点覆盖范围更广; 然后, 对影像进行分块处理, 对每块用文章改进的Harris算子进行特征点提取, 并采用分块迭代剔除策略, 保证了特征点在整幅影像中的均匀分布和非冗余分布; 其次提出了金字塔-双向-最小二乘多匹配算法进行影像匹配, 完成了最终同名点选取; 最后利用小三角形面元TIN对影像进行了精确纠正。实验结果表明本文方法获取同名点均匀合理, 能够更好地实现多源遥感影像的高精度配准, 具有一定实际意义。
Abstract
In remote sensing image automatic registration, there are some problems, for example, there are differences between texture image itself and unevenness in feature points extracting. To this problem, the paper proposes a new high precision automatic registration method of multi-source remote sensing image. First of all, the Harris operator was improved to extract feature points covering a wider range; and then, the image is divided into blocks, using the improved Harris operator to extract feature points for each block, and then use the block iteration to eliminate wrong feature points, ensuring the distribution of feature points is uniformly and non redundant in the whole image. Secondly the paper put forward the pyramid-bidirectional-least squares matching algorithm for image matching, completed selection of the final corresponding points. Finally, the paper made use of the TIN to complete accurately correction. The experimental results show that the proposed method of the paper can ensure the corresponding points uniform and reasonable, and it can achieve high precision registration of multi-source remote sensing image, which has certain practical significance.

程国华, 王阿川, 陈舒畅, 赵宇, 范晓锐, 刘亚檀. 多源遥感影像高精度自动配准方法研究[J]. 液晶与显示, 2016, 31(6): 604. CHENG Guo-hua, WANG a-chuan, CHEN Shu-chang, ZHAO Yu, FAN Xiao-rui, LIU Ya-tan. High accuracy-automatic registration method research on multi-source remote sensing image[J]. Chinese Journal of Liquid Crystals and Displays, 2016, 31(6): 604.

本文已被 3 篇论文引用
被引统计数据来源于中国光学期刊网
引用该论文: TXT   |   EndNote

相关论文

加载中...

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!