A fast and reliable matching method for automated georeferencing of remotely-sensed imagery
文献类型:期刊论文
作者 | Long, Tengfei1; Jiao, Weili1; He, Guojin1; Zhang, Zhaoming1 |
刊名 | Remote Sensing
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出版日期 | 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 |
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). |
入库方式: OAI收割
来源:遥感与数字地球研究所
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