A generic framework for image rectification using multiple types of feature

	A generic framework for image rectification using multiple types of feature
	Long, Tengfei 1; Jiao, Weili 1; He, Guojin 1; Zhang, Zhaoming 1; Cheng, Bo 1; Wang, Wei 1
刊名	ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
	2015
卷号	102 页码:2449-2470
关键词	Geometric Rectification Orientation Multiple features Hausdorff distance Imaging model
通讯作者	Jiao, WL (reprint author), Chinese Acad Sci, Inst Remote Sensing & Digital Earth RADI, 9 Dengzhuang South Rd, Beijing 100094, Peoples R China.
英文摘要	In photogrammetry, the traditional image matching and precise rectification is mainly based on point features, which are simple, intuitional and accurate. In many cases, however, it is difficult to acquire accurate ground control points in the areas where cross points and corners are not available, thus the point-based precise rectification is unfeasible. On the other hand, features such as straight lines, free-form curves and areal regions are usually more stable than point-based features and can be utilized to cope with the problem of missing points and to register image accurately. In this paper, a generic framework for image precise rectification using multiple features, including points, straight line segments, free-form curves and areal regions is proposed. Firstly, a generic framework for image rectification using multiple features is established based on the generalized distance, which differs for different types of features. Secondly, a robust and smooth Hausdorff distance is proposed for curve-based and area-based geometric correction. The continuity and derivability of the novel Hausdorff distance makes it possible to minimize the distances via gradient descent approaches. Thirdly, the generalized distance is specified by the existing point-based and straight line-based distances and the suggested curve-based and area-based distance. Finally, uniform error equations are integrated into the geometric correction models based on multiple features. The experimental results show that the generic framework is reliable for image rectification, and can be applied in multi-source images (SAR and optical image). (C) 2015 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS). Published by Elsevier B.V. All rights reserved.
研究领域[WOS]	Geography, Physical ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
收录类别	SCI ; EI
语种	英语
WOS记录号	WOS:000352665500014
内容类型	期刊论文
源URL	[http://ir.ceode.ac.cn/handle/183411/38242]
专题	遥感与数字地球研究所_SCI/EI期刊论文_期刊论文
作者单位	1.[Long, Tengfei 2.Jiao, Weili 3.He, Guojin 4.Zhang, Zhaoming 5.Cheng, Bo 6.Wang, Wei] Chinese Acad Sci, Inst Remote Sensing & Digital Earth RADI, Beijing 100094, Peoples R China 7.[Long, Tengfei] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Long, Tengfei,Jiao, Weili,He, Guojin,et al. A generic framework for image rectification using multiple types of feature[J]. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,2015,102:2449-2470.
APA	Long, Tengfei,Jiao, Weili,He, Guojin,Zhang, Zhaoming,Cheng, Bo,&Wang, Wei.(2015).A generic framework for image rectification using multiple types of feature.ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,102,2449-2470.
MLA	Long, Tengfei,et al."A generic framework for image rectification using multiple types of feature".ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING 102(2015):2449-2470.