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DOI:
飞控与探测:2021,(5):62-70
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多场景高分辨率遥感图像快速拼接技术
吴 晗, 金 磊
(北京航空航天大学 宇航学院)
Multi-Scene High-Resolution Remote Sensing Image Fast Mosaic Technology
WU Han, JIN Lei
(School of Astronautics, Beihang University)
摘要
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中文摘要: 光学遥感卫星拍摄过程中大视场与高分辨率间的相互矛盾,引起国内外研究人员的广泛关注。提出一种基于相机参数保持的快速拼接算法。该方法对高分辨率图像进行降采样处理,利用降分辨率图像的配准信息恢复相机参数,能够改进拼接过程,提高拼接效率。实验结果表明,相对于传统拼接方法,该算法能够将配准时间缩短2倍以上,将遥感图像的拼接质量提升5%~35%, 适用于建筑、森林、农田、湖泊四类场景。通过对存在噪声、亮度差异及不同模糊程度的遥感图像进行拼接实验,验证了该方法的鲁棒性和可行性。
中文关键词: 光学遥感卫星;多场景;高分辨率;大视场;图像配准;快速拼接
Abstract:The contradiction between the large field of view and the high-resolution in the process of remote sensing satellite photographing has attracted wide attention of researchers at home and abroad. A fast mosaic algorithm based on camera parameter preserving is proposed. By down-sampling the high-resolution image and recovering the camera parameters by using the registration information of the low-resolution image, the method can improve the mosaic process and improve the efficiency of mosaic. The experimental results show that compared with the traditional mosaic method, this method can shorten the registration time by more than 2 times and improve the mosaic quality of the remote sensing images by 5%~35%. It is suitable for four kinds of scenes: architecture, forest, farmland and lake. The robustness and feasibility of this method are verified by mosaic experiments of remote sensing images with noise, brightness difference and different blurring degree.
keywords: optical remote sensing satellite; multiple scenes; high resolution; large field of view; image registration; fast mosaic
文章编号:20210508     中图分类号:TP751.1    文献标志码:A
基金项目:
作者单位
吴 晗 北京航空航天大学 宇航学院 
金 磊 北京航空航天大学 宇航学院 
Author NameAffiliation
WU Han School of Astronautics, Beihang University 
JIN Lei School of Astronautics, Beihang University 
引用文本:
吴 晗,金 磊.多场景高分辨率遥感图像快速拼接技术[J].飞控与探测,2021,(5):62-70.

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