CIOMP OpenIR
Concatenating wide-parallax satellite orthoimages for simplified regional mapping via utilizing line-point consistency
Z. M. Tu, X. B. Yang, Z. Q. Fu, S. N. Gao, G. Yang, L. Jiang, M. Wu and S. E. Wang
2023
发表期刊International Journal of Remote Sensing
ISSN0143-1161
卷号44期号:16页码:4857-4882
摘要Block adjustment is a common way for achieving large-scale mapping from several ortho-rectified satellite images derived from wide-parallax pushbroom (WPP) imaging. However, block adjustment's accuracy can be affected by the amount of ground control points (GCPs), resolution of digital evaluation model (DEM) and unexpected and unpredictable imaging drift. In addition, block adjustment requires sensor model, which is hard to obtain and needs adjustment in real time. In view of these problems, this paper proposes a WPP blocks concatenation method for simplified regional mapping. First, considering distortions along different blocks, an adaptive-RPC model is proposed to ortho-rectified images. Then, a novel algorithm for stitching the ortho-rectified images is proposed, which consists of line-point consistency for matching neighbourhoods between two images, and a new energy function for suppressing artefact and distortions. Stitching experiments carried out on images from Orbita Satellite show that the stitching accuracy reaches 0.87 pixels, better than state-of-the-art methods, and absolute cumulative accuracy after stitching 10 orthoimages is only 3.99% higher than original one. Further simulation experiments with variable in satellite swing angles verify its robustness under complex scenes, while the estimation of cumulative error reiterates the necessity of performing orthorectification in prior. All results demonstrate that the proposed method can obtain accurate large regional mapping with distortions and artefact effectively suppressed.
DOI10.1080/01431161.2023.2240033
URL查看原文
收录类别sci
语种英语
引用统计
文献类型期刊论文
条目标识符http://ir.ciomp.ac.cn/handle/181722/67901
专题中国科学院长春光学精密机械与物理研究所
推荐引用方式
GB/T 7714
Z. M. Tu, X. B. Yang, Z. Q. Fu, S. N. Gao, G. Yang, L. Jiang, M. Wu and S. E. Wang. Concatenating wide-parallax satellite orthoimages for simplified regional mapping via utilizing line-point consistency[J]. International Journal of Remote Sensing,2023,44(16):4857-4882.
APA Z. M. Tu, X. B. Yang, Z. Q. Fu, S. N. Gao, G. Yang, L. Jiang, M. Wu and S. E. Wang.(2023).Concatenating wide-parallax satellite orthoimages for simplified regional mapping via utilizing line-point consistency.International Journal of Remote Sensing,44(16),4857-4882.
MLA Z. M. Tu, X. B. Yang, Z. Q. Fu, S. N. Gao, G. Yang, L. Jiang, M. Wu and S. E. Wang."Concatenating wide-parallax satellite orthoimages for simplified regional mapping via utilizing line-point consistency".International Journal of Remote Sensing 44.16(2023):4857-4882.
条目包含的文件 下载所有文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
Concatenating wide-p(16519KB)期刊论文出版稿开放获取CC BY-NC-SA浏览 下载
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Z. M. Tu, X. B. Yang, Z. Q. Fu, S. N. Gao, G. Yang, L. Jiang, M. Wu and S. E. Wang]的文章
百度学术
百度学术中相似的文章
[Z. M. Tu, X. B. Yang, Z. Q. Fu, S. N. Gao, G. Yang, L. Jiang, M. Wu and S. E. Wang]的文章
必应学术
必应学术中相似的文章
[Z. M. Tu, X. B. Yang, Z. Q. Fu, S. N. Gao, G. Yang, L. Jiang, M. Wu and S. E. Wang]的文章
相关权益政策
暂无数据
收藏/分享
文件名: Concatenating wide-parallax satellite orthoimages for simplified regional mapping via utilizing line-point consistency.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。