A RFM adjustment method for satellite remote sensing image with Fourier compensation

doi:10.11947/j.AGCS.2021.20200429

Abstract

Abstract: The geometric distortion of satellite optical remote sensing images is an important factor that restricts its positioning accuracy. It is difficult to completely eliminate the complex distortion of the image using the common system error compensation model. Based on the rational function model adjustment scheme, and according to the approximation characteristics of the Fourier series, this paper proposes to replace the general polynomial with a binary Fourier polynomial as the system error compensation term to adapt to any form of distortion that meets the continuous condition. Simulation and actual data adjustment test results show that the new method can effectively compensate the image positioning system errors caused by the inaccurate internal and external orientation elements of the image and different magnitudes of distortion. Given enough ground control points, the positioning accuracy of the RFM adjustment using the third-order Fourier compensation term is significantly better than that of the traditional method using general polynomial compensation terms. The positioning accuracy of the plane and elevation after the adjustment of the SPOT-5 different track stereo image can reach 3.34 m and 2.48 m, the plane and elevation positioning accuracy of QuickBird co-track stereo image pair adjustment reached 0.77 m and 0.54 m, both reaching the sub-pixel accuracy level. The binary Fourier polynomial can be used as a general image system error compensation model, which can be further applied to the distortion correction process of aerial and close-range images.

Key words: satellite remote sensing image, rational function model, bundle adjustment, Fourier polynomial, system error compensation

CLC Number:

P237

YU Junpeng, WU Weidong, SUN Jiaming, MAN Yiyun, SHEN Gang. A RFM adjustment method for satellite remote sensing image with Fourier compensation[J]. Acta Geodaetica et Cartographica Sinica, 2022, 51(1): 127-134.

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