In-flight Image Registration and Performance Evaluation for Directional Polarimetric Camera

Guang-feng XIANG; Chan HUANG; Bing-huan MENG; Shuang LI; Lin HAN; Bi-hai TU; Jin HONG

doi:10.3788/gzxb20204908.0812001

Journals >Acta Photonica Sinica >Volume 49 >Issue 8 >Page 0812001 > Article

Acta Photonica Sinica
Vol. 49, Issue 8, 0812001 (2020)

In-flight Image Registration and Performance Evaluation for Directional Polarimetric Camera

Guang-feng XIANG^1,2,3, Chan HUANG^1,2,3, Bing-huan MENG^1,3,*, Shuang LI^1,3..., Lin HAN^1,3, Bi-hai TU^1,2,3 and Jin HONG^1,3|Show fewer author(s)

Author Affiliations

¹Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China

²University of Science and Technology of China, Hefei 230026, China

³Key Laboratory of Optical Calibration and Characterization, Chinese Academy of Sciences, Hefei 230031, China

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DOI: 10.3788/gzxb20204908.0812001 Cite this Article

Guang-feng XIANG, Chan HUANG, Bing-huan MENG, Shuang LI, Lin HAN, Bi-hai TU, Jin HONG. In-flight Image Registration and Performance Evaluation for Directional Polarimetric Camera[J]. Acta Photonica Sinica, 2020, 49(8): 0812001 Copy Citation Text

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Abstract

High-precision image registration is the key to ensure the in-flight data validity of the Directional Polarimetric Camera (DPC). This paper introduces the polarization image registration method based on optical wedge and the multi-angle, multi-spectral image registration method based on earth reference grid. The error of the registration performance of the multi-angle and multi-spectral image of DPC are fully investigated, and the use of relative geometric calibration is applied to correct the error and improve the registration performance. To verify the effectiveness of this relative geometric calibration method, we compare the registration effects before and after error correction. The results reveal that the accuracies of DPC in flight multi-angle, multi-spectral and polarized image registration are better than 0.26 pixel, 0.14 pixel and 0.1 pixel respectively, which show an improvement of the registration performance.

Keywords

Directional polarimetric camera GaoFen-5 satellite Image registration In-flight geometric calibration Polarization detection

${\left[ {

\begin{matrix} X \\ Y \\ Z \end{matrix}

} \right]_{{\rm{WGS}} - 84}} = {\left[ {

\begin{matrix} X_{G P S} \\ Y_{G P S} \\ Z_{G P S} \end{matrix}

} \right]_{{\rm{WGS}} - 84}} + \left[ {

\begin{matrix} Δ X \\ Δ Y \\ Δ Z \end{matrix}

} \right] + \lambda \cdot \mathit{\boldsymbol{R}}_{{\rm{J}}2000}^{{\rm{WGS}} - 84} \cdot \mathit{\boldsymbol{R}}_{{\rm{ADS}}}^{{\rm{J}}2000} \cdot \mathit{\boldsymbol{R}}_{{\rm{DPC}}}^{{\rm{ADS}}}\left[ {

\begin{matrix} x \\ y \\ - f \end{matrix}

} \right] $

(1)

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\begin{array}{l} {\boldsymbol R}_{A D S}^{D P C} = [\begin{array}{c} a_{11} & a_{12} & a_{13} \\ a_{21} & a_{22} & a_{23} \\ a_{31} & a_{32} & a_{33} \end{array}] = [\begin{array}{c} c o s (α) & 0 & - s i n (α) \\ 0 & 1 & 0 \\ s i n (α) & 0 & c o s (α) \end{array}] \cdot [\begin{array}{c} 1 & 0 & 0 \\ 0 & c o s (β) & - s i n (β) \\ 0 & s i n (β) & c o s (β) \end{array}] \cdot \\ [\begin{array}{c} c o s (γ) & - s i n (γ) & 0 \\ s i n (γ) & c o s (γ) & 0 \\ 0 & 0 & 1 \end{array}] \end{array}

(2)

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$\left\{ {

\begin{array}{l} M_{x} = S_{k x} - S M_{k} \cdot c o s φ \\ M_{y} = S_{k y} - S M_{k} \cdot s i n φ \\ S M_{k} = f 1_{k} \cdot t a n θ + f 3_{k} \cdot t a n^{3} θ + f 5_{k} \cdot t a n^{5} θ \end{array}

} \right. $

(3)

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${\left[ {

\begin{matrix} X \\ Y \\ Z \end{matrix}

} \right]_{{\rm{WGS}} - 84}} = {\left[ {

\begin{matrix} X_{G P S} \\ Y_{G P S} \\ Z_{G P S} \end{matrix}

} \right]_{{\rm{WGS}} - 84}} + \mathit{\boldsymbol{R}} \cdot \mathit{\boldsymbol{R}}_{{\rm{DPC}}}^{{\rm{ADS}}}\left[ {

\begin{matrix} M_{x} \\ M_{y} \\ - f \end{matrix}

} \right] $

(4)

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$\mathit{\boldsymbol{R}} = \lambda \cdot \mathit{\boldsymbol{R}}_{{\rm{J}}2000}^{{\rm{WGS}} - 84} \cdot \mathit{\boldsymbol{R}}_{{\rm{ADS}}}^{{\rm{J}}2000} $

(5)