Adjustment model for remote sensing images with high spatial resolution from multi-sensors
SONG Yan1, FAN Gaojing1, ZUO Jia2
1. Faculty of Information Engineering, China University of Geoscience(Wuhan), Wuhan 430074, China; 2. Wuhan Geotechnical Engineering and Surveying Institute, Wuhan 430022, China
Abstract：The analysis of multi-source high resolution remote sensing images is important for Earth surface surveying,rapid response to hazard,and military detection. The problem as to how to obtain high accurate coordinates of ground points is essential for the analysis of multi-source remote sensing images. Hence,under the frame of rational polynomial coefficient(RPC)theory,the authors established an adjustment model of multi-source images based on RPC. The model can correct the error of initial RPC model system and obtain more accurate positional results. For proving the accuracy of the model,the authors made use of IKONOS and GeoEye-1 panchromatic stereo images. The adjustment calculation results show that the adjustment model of the multi-sensor remote sensing images based on RPC is correct and independent of ground control point. The positioning accuracy of multi-sensor adjustment is more precise than that of homologous sensor adjustment. The model proposed in this paper has a lot of potential applications.
宋妍, 范高晶, 左佳. 多源高空间分辨率遥感图像平差方法[J]. 国土资源遥感, 2013, 25(2): 21-26.
SONG Yan, FAN Gaojing, ZUO Jia. Adjustment model for remote sensing images with high spatial resolution from multi-sensors. REMOTE SENSING FOR LAND & RESOURCES, 2013, 25(2): 21-26.
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2013, Vol. 25 
