A study of block adjustment of domestic multi-source high resolution satellite images

doi:10.6046/gtzyyg.2019.01.17

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Abstract

Error precision analysis is the important guarantee of block adjustment (BA) of multi-source remote sensing data, because it not only guarantees the edge accuracy of different source data, but also improves the stability of the whole regional network adjustment. With the development of the domestic satellite, the multi-source BA has been applied to it; however, the research on precision analysis of multi-source BA and the relationship between multi-source and single-source BA is relatively deficient. According to RPC (rational polynomial coefficient), an experiment that has constructed the multi-source BA model of multi-source remote sensing data based on domestic satellite (GF-1, GF-2, ZY-3) of Chongqing area was carried out in this paper, where a series of effects of BA to correct the systematic errors and the relationship between multi-source and single-source BA were in-depth analyzed under the different plans of control points. The results show that the BA of domestic multi-source high resolution satellite images is feasible, which can also improve the accuracy for single-source BA.

Keywords domestic high resolution satellite images multi-source remote sensing data block adjustment rational function mode error precision analysis

TP79

Corresponding Authors: Jianwei QI E-mail: 29970092@qq.com

Issue Date: 15 March 2019

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	Wei ZHANG
	Jianwei QI
	Ying CHEN
	Xu HAN

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Wei ZHANG,Jianwei QI,Ying CHEN, et al. A study of block adjustment of domestic multi-source high resolution satellite images[J]. Remote Sensing for Land & Resources, 2019, 31(1): 125-132.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2019.01.17 OR https://www.gtzyyg.com/EN/Y2019/V31/I1/125

Fig.1 Study area and data

Tab.1 Strategy of GCPs for multi-source block adjustment

Tab.2 Strategy of GCPs for both single-source and multi-source block adjustment

Tab.3 Error precision of multi-source block adjustment in different Strategy of GCPs(m)

Fig.2 Relation between check points’ RMSE of multi-source block adjustment and number of GCPs

Fig.3 Residual distribution of CPs and GCPs of multi-source block adjustment

Tab.5 Error precision of single and multi-source block adjustment for GF-1 satellite

Tab.6 Error precision of single and multi-source block adjustment for GF-2 satellite

Tab.7 Error precision of single and multi-source block adjustment for ZY-3 satellite

Fig.4 Relation between check points’ RMSE of single or multi-source block adjustment of GF-1 and number of GCPs

Fig.5 Relation between check points’ RMSE of single or multi-source block adjustment of GF-2 and number of GCPs

Fig.6 Relation between check points’ RMSE of single or multi-source block adjustment of ZY-3 and number of GCPs

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