Image jitter detection and compensation using a high-frequency angular displacement method for Yaogan-26 remote sensing satellite

Wang, Mi; Fan, Chengcheng; Pan, Jun; Sheng, Jiang; Chang, Xueli

doi:10.1016/j.isprsjprs.2017.05.004

Cited by 37 publications

(27 citation statements)

References 9 publications

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“…Generally, the former direct approach relies on the accuracy of the attitude sensor and has higher requirements on the hardware, which limits its application. Whereas the latter one is more economic and efficient, so that it has been more widely adopted in studies (Teshima and Iwasaki, 2008;Tong et al, 2015b;Wang et al, 2017).…”

Section: Jitter Detectionmentioning

confidence: 99%

A Jitter Detection Method Based on the Integration Imaging Model

Pan

Zhu

et al. 2020

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. Satellite jitter is a random error source which leads to image degradation. This paper proposes a method to detect the time-variant jitter using multispectral images. In the method, multispectral images are adopted for their large overlap to obtain the parallax map. The imaging process is analyzed in details, and an integration imaging model is constructed, which takes fully into account the time-variant jitter property and builds the relationship between object space with image space. Besides, multispectral images of ZY-3 satellite were used for experiments, and results show that the presented method obtains the jitter curve with the error of amplitude, frequency and phase not more than 0.0591 px, 0.0006 Hz and 0.007 rad, respectively. Results demonstrate the performance of the presented method in jitter detection.

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Section: Jitter Detectionmentioning

confidence: 99%

A Jitter Detection Method Based on the Integration Imaging Model

Pan

Zhu

et al. 2020

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…And it is an inevitable issue as the jitter can be induced by both the external space environment and internal mechanical operation, and the frequencies and amplitudes of jitters for different satellites are diverse (Wang et al, 2016). Many domestic and foreign satellites, such as IKONOS, High Resolution Imaging Science Experiment (HiRISE), ZiYuan-3, YaoGan-26 and GaoFen-9, have been affected by the attitude jitter (Grodecki, Dial, 2003;Mattson et al, 2009;Tong et al, 2014;Liu et al, 2016;Wang et al, 2016aWang et al, , 2016bPan et al,2016;(Wang et al, 2017;Zhang, Guan, 2018).…”

Section: Introductionmentioning

confidence: 99%

“…One is dependent on a highperformance attitude-measuring sensor since the attitude oscillation is the direct manifestation of jitter (Takaku, Tadono, 2009). The data of high-frequency angular displacement sensor were fused with satellite sensor attitude data for the jitter detection of YaoGan-26 satellite (Wang et al, 2017). After obtaining the high frequency angular displacement information through processing the measurements of the micro-vibration accelerometer installed on the GF-9 satellite, they corrected the attitude by taking the high-frequency attitude correction into account in the geometric model.…”

Section: Introductionmentioning

confidence: 99%

Effect of Image Matching Window Size on Satellite Jitter Frequency Detection

Zhang

Liu

et al. 2020

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. Satellite attitude jitter is a common and complex phenomenon for high-resolution satellites and it is detectable by multi-temporal image matching. This paper analyses the effect of image matching window size on jitter frequency detection. First, two simulation images with a given short time lag and line scanning frequency affected by a modelled jitter are generated based on the principle of dynamic imaging model. Then, the relative image distortions are obtained by dense image matching with different matching window size and the frequency is estimated through spectrum analysis of the obtained image distortions. The experimental results demonstrated the feasibility and reliability of high frequency jitter detection based on dense image matching, and the results indicated that the maximum detectable frequency is almost not affected by the change of image matching window size, which provided useful demonstration of image-based satellite jitter detection capacity.

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“…There are four main types of vibration detection methods. The first type involves the application of high-performance attitude sensors, such as angular displacement sensors (Barker and Seiferth, 1996;Takanori et al, 2009;Wang et al, 2017). The second uses satellite imagery and its various products, such as raw image (Pan et al, 2017;Tong et al, 2015aTong et al, , 2015bTong et al, , 2017aTong et al, , 2017bWang et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Vibration model of Ziyuan3 satellites considering frequency changing

Xie

Liu

2020

Journal of Vibration and Control

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Ziyuan3-01 and Ziyuan3-02, Chinese civilian high-resolution stereo mapping satellites, were designed to satisfy the requirements of 1:50,000 digital topographical mapping. Platform vibration detection plays an important role in the Ziyuan3 satellite project. Various methods have been used to detect the vibration of Ziyuan3-01, but none focuses on that the vibration frequency is not a fixed value. To detect and model the vibration, this study proposes a method based on a set of raw gyroscope data to detect long-term vibration and model it with considering frequency changing. Two experiments were conducted, and the results showed that (a) the proposed method can detect the long-term vibration frequency and model it; (b) there is a same vibration frequency of approximately 0.65 Hz in the Ziyuan3-01 and Ziyuan3-02; (c) the 0.65 Hz vibration suffered by the Ziyuan3 satellite series is not a fixed value, varying from 0.59 Hz to 0.7 Hz, and the period of the vibration change is a constant value of approximately 1 year, which we modeled with a sine function; and (d) the working state of loads on the platform, such as solar panels, has an influence on the vibration frequency certainly.

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Image jitter detection and compensation using a high-frequency angular displacement method for Yaogan-26 remote sensing satellite

Cited by 37 publications

References 9 publications

A Jitter Detection Method Based on the Integration Imaging Model

A Jitter Detection Method Based on the Integration Imaging Model

Effect of Image Matching Window Size on Satellite Jitter Frequency Detection

Vibration model of Ziyuan3 satellites considering frequency changing

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