Remote Sensing | |
A Comparison of the Performance of Bias-Corrected RSMs and RFMs for the Geo-Positioning of High-Resolution Satellite Stereo Imagery | |
Zhonghua Hong1  Xiaohua Tong2  Shijie Liu2  Peng Chen2  Huan Xie2  Yanmin Jin2  Gonzalo Pajares Martinsanz3  Richard Müller3  | |
[1] College of Information Technology, Shanghai Ocean University, 999 Hu-Chenghuan Road, Shanghai 201306, China;College of Surveying and Geo-Informatics, Tongji University, 1239 Siping Road, Shanghai 200092, China;;College of Information Technology, Shanghai Ocean University, 999 Hu-Chenghuan Road, Shanghai 201306, China | |
关键词: bias-correction; RSM; RFM; geo-positioning; high-resolution satellite imagery; accuracy; | |
DOI : 10.3390/rs71215855 | |
来源: mdpi | |
【 摘 要 】
High-resolution stereo satellite imagery is widely used in environmental monitoring, topographic mapping, and urban three-dimensional (3D) reconstruction. However, a critical issue in these applications using high-resolution stereo satellite imagery is to improve the accuracy of point geo-positioning. This paper presents a framework for comparison of the performance of the three-dimensional (3D) geo-positioning of the bias-corrected Rigorous Sensor Models (RSMs) and rational function models (RFMs) with respect to the high-resolution QuickBird stereo images in three spaces (
【 授权许可】
CC BY
© 2015 by the authors; licensee MDPI, Basel, Switzerland.
【 预 览 】
Files | Size | Format | View |
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RO202003190001803ZK.pdf | 2397KB | download |