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Remote Sensing for Land & Resources    2018, Vol. 30 Issue (2) : 60-66     DOI: 10.6046/gtzyyg.2018.02.08
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High precision geometric rectification of HJ-1A/B CCD imagery based on satellite observation angle information
Liang YANG1(), Yi JIA2, Wanshou JIANG1(), Guo ZHANG1
1.State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing,Wuhan University,Wuhan 430079, China
2.Chang Guang Satellite Technology Co., Ltd., Changchun 130000, China
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Abstract  

The available standard products of the domestic satellite HJ-1A/B CCD image are level II images, which are generated with systematic correction without considering the distortions caused by terrain undulation. Lacking of the geometric imaging model, it is difficult to do a reliable image rectification on the level II image with the existing methods in the range with big terrain undulation. To solve this problem, the authors propose a method to reconstruct the imaging geometric model based on the observation angle information, which is stored in a SatAngle.txt file. With the reconstructed RPC model, the HJ-1A/B CCD image can be orthorectified just like an original image with rigorous imaging geometric model. The experimental results show that the proposed method can effectively improve the rectification precision and the stability of geometric model fitting.
Keywords medium-resolution satellite image      geometric rectification      observation angle      RPC model     
:  TP751.1  
Corresponding Authors: Wanshou JIANG     E-mail: leoyang@whu.edu.cn;jws@whu.edu.cn
Issue Date: 30 May 2018
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Liang YANG
Yi JIA
Wanshou JIANG
Guo ZHANG
Cite this article:   
Liang YANG,Yi JIA,Wanshou JIANG, et al. High precision geometric rectification of HJ-1A/B CCD imagery based on satellite observation angle information[J]. Remote Sensing for Land & Resources, 2018, 30(2): 60-66.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2018.02.08     OR     https://www.gtzyyg.com/EN/Y2018/V30/I2/60
Fig.1  Observation angle of imagery and distortion caused by terrain undulation
Fig.2  Spatial control grids for RPC fitting constructed from observation angles
Fig.3  Three processing flows of experiments
Fig.4  Error curves in line direction yielded by different rectification methods
实验
数据		 纠正
方案		 变换
模型		 mx① my① maxVx② maxVy②
HJ-1A
CCD1		 方案1 二次多项式 4.74 1.79 22.8 6.2
三次多项式 4.65 1.34 24.1 7.2
方案2 扩展DLT+
二次多项式		 1.56 1.59 6.1 5.4
扩展DLT+
三次多项式		 1.38 1.09 4.8 5.4
方案3 二次RPC+
二次多项式		 1.46 1.50 5.0 5.7
二次RPC+
三次多项式		 1.27 1.06 4.7 5.2
  
实验
数据		 纠正
方案		 变换
模型		 mx my maxVx maxVy
HJ-1 B
CCD1		 方案1 二次多项式
三次多项式		 3.48 1.27 15.1 4.1
3.03 1.00 11.9 3.5
方案2 扩展DLT+
二次多项式		 1.25 1.10 4.3 3.1
扩展DLT+
三次多项式		 1.02 0.86 3.0 3.1
方案3 二次RPC+
二次多项式		 1.15 1.08 3.7 3.2
二次RPC+
三次多项式		 0.89 0.80 2.6 3.0
  
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