The RFM Iterative Adjustment Method for Optical Satellite Remote Sensing Imagery

Junpeng YU; Zilong ZHANG; Xinyu LI

doi:10.3969/j.issn.1009-8518.2024.05.005

Journals >Spacecraft Recovery & Remote Sensing >Volume 45 >Issue 5 >Page 43 > Article

Spacecraft Recovery & Remote Sensing
Vol. 45, Issue 5, 43 (2024)

The RFM Iterative Adjustment Method for Optical Satellite Remote Sensing Imagery

Junpeng YU, Zilong ZHANG, and Xinyu LI

Author Affiliations

School of Civil and Traffic Engineering, Guangdong University of Technology, Guangzhou 510006, China

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DOI: 10.3969/j.issn.1009-8518.2024.05.005 Cite this Article

Junpeng YU, Zilong ZHANG, Xinyu LI. The RFM Iterative Adjustment Method for Optical Satellite Remote Sensing Imagery[J]. Spacecraft Recovery & Remote Sensing, 2024, 45(5): 43 Copy Citation Text

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Fig. 1. [in Chinese]

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Fig. 2. [in Chinese]

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Fig. 3. [in Chinese]

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Fig. 4. [in Chinese]

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影像参数	ZY-3（02星）	GF-7
立体成像方式	三线阵立体	双线阵立体
像幅范围/（像元×像元）	前视：24 511×19 999后视：24 577×20 003正视：24 504×23 999	前视：31 267×30 996后视：35 863×40 009
地面分辨率/m	前后视：2.5正视：2.1	前视：0.79后视：0.64
地面高程范围/m	1 300~2 500	1 600~2 000
地面控制点个数	43	15

Table 1. Parameters of satellite image experiment data

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迭代次数	$ \sigma_{\mathrm{F}} $/像元	$ \sigma_{\mathrm{B}} $/像元	$ \sigma_{\mathrm{N}} $/像元	$ {\sigma }_{\mathrm{平}} $/m	$ {\sigma }_{\mathrm{高}} $/m
0	11.81	17.29	14.72	32.256	7.452
1	1.58	1.40	1.58	2.803	1.996
2	1.33	1.35	1.42	2.570	1.744
3	1.32	1.34	1.40	2.558	1.732
4	1.32	1.34	1.39	2.547	1.726
5	1.31	1.33	1.38	2.539	1.724

Table 2. Positioning accuracy of ZY-3 image adjustment

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迭代次数	$ \sigma_{\mathrm{F}} $/像元	$ \sigma_{\mathrm{B}} $/像元	$ {\sigma }_{\mathrm{平}} $/m	$ {\sigma }_{\mathrm{高}} $/m
0	10.08	5.65	4.247	8.037
1	0.73	0.65	0.434	0.531
2	0.66	0.55	0.383	0.374
3	0.65	0.53	0.371	0.353
4	0.63	0.51	0.362	0.343
5	0.62	0.50	0.355	0.337

Table 3. Positioning accuracy of GF-7 image adjustment

Junpeng YU, Zilong ZHANG, Xinyu LI. The RFM Iterative Adjustment Method for Optical Satellite Remote Sensing Imagery[J]. Spacecraft Recovery & Remote Sensing, 2024, 45(5): 43

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