Journal of Geo-information Science >
Research on Key Technology and Implementation of Detection and Analysis of Satellite Attitude Jitter using Remote Sensing Imagery
Received date: 2015-01-04
Request revised date: 2015-03-18
Online published: 2015-06-10
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With the development of high resolution satellites, the attitude jitter, which is a common and complex phenomenon, has become a key problem in the applications of high resolution remote sensing images. It leads to the degradation of image quality, and non-steady and lower precision for the attitude measurement data. Therefore, in this paper, a jitter detection and analysis method based on remotely sensed imagery is proposed. It took the advantage of the imagery data to detect jitter without additional involvement of high-performance sensors or a large quantity of GCPs. Two different jitter detection methods for different types of sensors are presented, which consist of: (1) jitter detection methods based on multispectral images utilizing parallax between two different bands in the image, and (2) jitter detection methods based on stereo images using triplet stereo images and rational polynomial coefficients (RPCs). With the jitter detection methods, the relative registration error is obtained. Afterwards, we can retrieve the time-dependent attitude jitter. Consequently, the frequency and amplitude of the attitude jitter can be achieved by analyzing and modeling the jitter using cosine functions. To reduce the jitter effect on geo-positioning process, the true attitude information should be estimated from the detected jitter components. An improved sensor model is introduced to take into account the compensation for the attitude jitter. The performance of the improved sensor model is assessed in direct georeferencing. Experiments are conducted with images acquired from the first civilian three-line-array stereo mapping satellite ZY-3. A periodic pattern with a frequency of about 0.65Hz has been detected. Based on the theories and methods mentioned above, the detection and analysis of satellite attitude jitter system based on remote sensing imagery has been developed using VC++. An image sub-blocking and a parallel computation scheme based on the computer performance is performed, which can improve the efficiency. Test results show that the system can efficiently detect the attitude jitter of 0.1 pixels. Meanwhile, it can model the regular jitter and correct the jitter effect on geo-positioning process. The accuracies for the plain and height directions are improved from 2.1799 m and 3.2497 m to 1.4396 m and 0.7453 m, respectively. This system has a good stability and robustness and has been successfully applied to the ZY-3 ground application system.
WANG Fengxiang , LIU Shijie , TONG Xiaohua , TANG Xinming , XU Yusheng , YE Zhen , LI Lingyun , XIE Junfeng , LI Tianpeng , HONG Zhonghua . Research on Key Technology and Implementation of Detection and Analysis of Satellite Attitude Jitter using Remote Sensing Imagery[J]. Journal of Geo-information Science, 2015 , 17(6) : 724 -731 . DOI: 10.3724/SP.J.1047.2015.00724
Fig. 1 Software function modules图1 软件功能模块 |
Fig. 2 The system main interface图2 系统主界面 |
Fig. 3 Nadir Image and distribution of GCPs and multispectral band 1 raw image of Songshan area图3 河南嵩山地区全色与多光谱影像图 |
Fig. 4 The image display interface图4 影像显示界面 |
Fig. 5 Interface of jitter detection based on multispectral images图5 多光谱影像颤振探测界面 |
Fig. 6 Jitter detection results for mulita-spectral images图6 多光谱影像颤振探测结果 |
Fig. 7 Interface for jitter detection of panchromatic images图7 全色影像颤振探测界面 |
Fig. 8 Jitter detection results for panchromatic images图8 全色影像颤振探测结果 |
Fig. 9 Jitter analysis interface图9 颤振分析界面 |
Tab. 1 The Jitter detection and modeling result based on multispectral images of Songshan area表1 嵩山地区多光谱影像颤振探测和拟合模型结果 |
垂轨方向 | 沿轨方向 | ||||
---|---|---|---|---|---|
模型参数 | 频率(Hz) | 0.65 | 频率(Hz) | 0.65 | |
幅值(像元) | 0.46 | 幅值(像元) | 0.28 |
Fig. 10 Estimation of jitter impact on positioning accuracy interface图10 颤振对定位精度影响分析界面 |
Tab. 2 The statistical results of stereo geometric accuracies before and after the jitter compensation表2 颤振补偿前后的控制点定位精度的统计结果 |
精度 | 平面(m) | 高程方向(m) | |||
---|---|---|---|---|---|
补偿前 | 补偿后 | 补偿前 | 补偿后 | ||
最大值 | 2.8854 | 3.0369 | 4.7108 | 1.6859 | |
均方差 | 2.1799 | 1.4396 | 3.2497 | 0.7453 |
The authors have declared that no competing interests exist.
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