A fast and reliable matching method for automated georeferencing of remotely-sensed imagery

	A fast and reliable matching method for automated georeferencing of remotely-sensed imagery
	Long, Tengfei 1; Jiao, Weili 1; He, Guojin 1; Zhang, Zhaoming 1
刊名	Remote Sensing
	2016
卷号	8 期号:1
关键词	LAND-USE CHANGE CHANGE-VECTOR ANALYSIS USE/LAND-COVER CHANGE REMOTE-SENSING DATA CELLULAR-AUTOMATA SPATIOTEMPORAL PATTERNS DRIVING FORCES CHINA URBANIZATION GIS
通讯作者	Jiao, Weili (jiaowl@radi.ac.cn)
英文摘要	Due to the limited accuracy of exterior orientation parameters, ground control points (GCPs) are commonly required to correct the geometric biases of remotely-sensed (RS) images. This paper focuses on an automatic matching technique for the specific task of georeferencing RS images and presents a technical frame to match large RS images efficiently using the prior geometric information of the images. In addition, a novel matching approach using online aerial images, e.g., Google satellite images, Bing aerial maps, etc., is introduced based on the technical frame. Experimental results show that the proposed method can collect a sufficient number of well-distributed and reliable GCPs in tens of seconds for different kinds of large-sized RS images, whose spatial resolutions vary from 30 m to 2 m. It provides a convenient and efficient way to automatically georeference RS images, as there is no need to manually prepare reference images according to the location and spatial resolution of sensed images. © 2016 by the authors; licensee MDPI, Basel, Switzerland.
学科主题	Remote Sensing
类目[WOS]	Remote Sensing
收录类别	SCI ; EI
语种	英语
WOS记录号	WOS:20160701945606
内容类型	期刊论文
源URL	[http://ir.radi.ac.cn/handle/183411/39207]
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. The Institute of Remote Sensing and Digital Earth (RADI), Chinese Academy of Sciences, No.9 Dengzhuang South Road, Haidian District, Beijing, China 2. Hainan Key Laboratory for Earth Observation, Sanya, China
推荐引用方式 GB/T 7714	Long, Tengfei,Jiao, Weili,He, Guojin,et al. A fast and reliable matching method for automated georeferencing of remotely-sensed imagery[J]. Remote Sensing,2016,8(1).
APA	Long, Tengfei,Jiao, Weili,He, Guojin,&Zhang, Zhaoming.(2016).A fast and reliable matching method for automated georeferencing of remotely-sensed imagery.Remote Sensing,8(1).
MLA	Long, Tengfei,et al."A fast and reliable matching method for automated georeferencing of remotely-sensed imagery".Remote Sensing 8.1(2016).