| FY-3微波成像仪遥感图像地理定位方法研究 |
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| 引用本文： | 关敏,杨忠东.FY-3微波成像仪遥感图像地理定位方法研究[J].遥感学报,2009,13(3):469-482. |
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| 作者姓名： | 关敏 杨忠东 |
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| 作者单位： | 国家卫星气象中心,北京,100081 |
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| 摘 要： | MWRI (MicroWave Radiation Imager) is one of the payloads on our next generation polar meteorological satellite FY-3. MWRI conically scans with a fixed incident angle on the earth surface. It is the first time for Chinese remote sensor to use this scan mode. In this work, we present a geolocation method for FY-3 MWRI’s remote sensing image based on its special scan geometry. The integrated coordinate systems and the specific relationships with these coordinate systems are defined. A spatial relationship model between the remote sensing data and the earth-based coordinate system is established. This method also includes an algorithm of satellite orbit computation, which is used to get the satellite’s instantaneous velocity vector from its position. This method has been applied to MWRI’s remote sensing image geolocation. The results show that the accuracy of this method can achieve 1 pixel. The 33 GCPs (Ground Control Points) which are in the regiones of FY-3 MWRI’s observation have been collected and used to analyze the precision of the geolocation. By statistical analysis, the error along-track is about 1.5km, and the error along-scan is about 3.0km. It is obvious that this method fulfills the requirement of precision for FY-3 MWRI whose space resolution exceeds 5km.
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| 关 键 词： | 微波成像仪 圆锥扫描 观测几何建模 遥感图像地理定位 |
| 收稿时间： | 2007/11/12 0:00:00 |
| 修稿时间： | 4/7/2008 12:00:00 AM |
Geolocation method for FY-3 MWRI's remote sensing image |
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| GUAN Min and YANG Zhong-dong.Geolocation method for FY-3 MWRI''s remote sensing image[J].Journal of Remote Sensing,2009,13(3):469-482. |
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| Authors: | GUAN Min and YANG Zhong-dong |
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| Affiliation: | National Satellite Meteorological Center, Beijing 100081, China;National Satellite Meteorological Center, Beijing 100081, China |
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| Abstract: | In this paper, a method to evaluate the in-flight MTF (Modulate Transfer Function) of the WFI (Wide Field Imager) on CBERS-02B is presented and the WFI images are restored. The CCD is another payload on CBERS-02B with high spatial resolution. Using the CCD images as high resolution images, the two-image comparison approach is applied to determine the MTF of the WFI with a pair of images acquired over Beijing on Nov. 10, 2007. As the results, MTF values in three directions are derived. The MTF values at Nyquist frequency in cross-track, in-track and 45° directions were respectively about 0.43, 0.52 and 0.35 for red band and 0.30, 0.46 and 0.36 for near-infrared band. Image-derived MTF values are applied to calculate the half bandwidths of the WFI. The results indicate that the instant fields of view of the WFI in the cross-track, in-track and 45o-track directions were respectively 1.188 pixels, 1.165 pixels and 1.281 pixels for red band, and respectively 1.258 pixels, 1.195 pixels and 1.326 pixels for near-infrared band. Weiner filter model is used to perform the MTF compensation for WFI images. The results show that the restored image seemed clearer and contained more detailed information. |
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| Keywords: | MWRI conical scan scan geometry modeling geolocation |
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