Adjustment model for remote sensing images with high spatial resolution from multi-sensors

doi:10.6046/gtzyyg.2013.02.04

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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.

Keywords three-dimensional laser scanning multi-view point cloud registration spatial similarity transformation

TP751.1

Issue Date: 28 April 2013

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	ZHU Ruifang
	FANG Yong

Cite this article:

ZHU Ruifang,FANG Yong. Adjustment model for remote sensing images with high spatial resolution from multi-sensors[J]. REMOTE SENSING FOR LAND & RESOURCES, 2013, 25(2): 21-26.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2013.02.04 OR https://www.gtzyyg.com/EN/Y2013/V25/I2/21

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