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18 August 2011An imaging geometry model of space camera
High resolution of remote sensing image is impressible on varying pitch angle of satellite
platform on orbit. The geometry quality of image is distorted, and image has geometrical warp.
Consequently, the spatial distribution of image is changed. However, traditional simulation methods of
geometric distortion are complex. Traditional methods are based on accurate physical model. The pixel
positions of warp image are calculated as one by one pixel. The topological mapping relationship is
analyzed, which is between earth coordinate and optical remote sensor coordinate. The method of active
points is proposed. Positions of active points are computed through the transform relationship between
earth coordinate and optical remote sensor coordinate. Active points are interpolated by polynomial
interpolation. The geometrical distortion is sub-pixel precision. Finally, a frame of image is generated. The
effective transform reduces vastly amount of computation. The geometry model contains interior and
exterior orientation elements of imaging system on satellite platform. The simulation experiment is based
on three axes. Various angles of three axes are included by proposed model. As a result, the boundary
condition of motion error affecting imaging quality is analyzed. The proposed geometry model not only
improves physical information of active points, but also reduces computational complexity of transform
between earth coordinate and optical remote sensor coordinate. The result is beneficial to design and
optimize parameters of satellite platform.
Zhi Zhang andZhao-jun Liu
"An imaging geometry model of space camera", Proc. SPIE 8194, International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Imaging Detectors and Applications, 81941J (18 August 2011); https://doi.org/10.1117/12.900187
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Zhi Zhang, Zhao-jun Liu, "An imaging geometry model of space camera," Proc. SPIE 8194, International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Imaging Detectors and Applications, 81941J (18 August 2011); https://doi.org/10.1117/12.900187