Optimal selection from extremely redundant satellite images for efficient large-scale mapping

Tao, Pengjie; Ke, Xinli; Niu, Zhuangqun; Chen, Qi; Liao, Yifan; Liu, Yuxuan; Liu, Kunbo; Zhang, Zuxun

doi:10.1016/j.isprsjprs.2022.10.003

Cited by 7 publications

(1 citation statement)

References 41 publications

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“…Liu found that the image matching error of a stereo pair increased linearly with the increase in the convergence angle, and triangulation of fewer automatically selected images could produce better geopositioning precision than using all the images for LROC NAC images [15]. Tao proposed an optimal selection method that used a rasterized grid voting strategy to extract a minimal subset from extremely redundant satellite images while still maintaining high image quality and sufficient overlap [16].…”

Section: Introductionmentioning

confidence: 99%

Geometric Accuracy Analysis of Regional Block Adjustment Using GF-7 Stereo Images without GCPs

Tang

Zhu

et al. 2023

Remote Sensing

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As an important means of improving positioning accuracy, block adjustment has been used in the improvement and assessment of accuracy for the Chinese Gaofen-7 (GF-7) satellite. However, there is little research on what factors affect accuracy without ground control points (GCPs). The correlation between accuracy and the images participating in the adjustment is not clear. This paper proposes the correlation coefficients and canonical correlation analysis between five accuracy indicators and three sets of ten adjustment factors, including topographic factors, participating image factors, and tie points (TPs) factors, to quantify the influence of adjustment factors on accuracy. Block adjustment without GCPs for GF-7 stereo imagery is verified in three study areas to evaluate the relationship between accuracy and adjustment factors. The results show that block adjustment without GCPs can improve direct positioning accuracy with an average improvement of 1.27 m in the planar direction and 0.13 m in the elevation direction. Moreover, plane accuracy is more easily affected by three sets of factors, while the influence on elevation accuracy is more balanced. The set of TP factors has the greatest influence on accuracy, and the image overlap is more critical than the image coverage area, number, and time periods. Topographic factors also play an important role, and the influence of the elevation factor with the highest canonical correlation coefficient (−0.71) is more significant than the other two factors, roughness, and slope. The results provide a reference for the improvement of adjustment accuracy without GCPs, the reasonable selection of adjustment images, the optimization of TPs, and the strategy of the partition processing of large-area block adjustment for GF-7 stereo imagery.

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Section: Introductionmentioning

confidence: 99%