| PS-InSAR公共主影像选择方法的研究 |
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| 引用本文： | 钟凯文,刘旭拢,解靓,孙彩歌.PS-InSAR公共主影像选择方法的研究[J].遥感信息,2009,28(1):49-53. |
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| 作者姓名： | 钟凯文 刘旭拢 解靓 孙彩歌 |
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| 作者单位： | 1. 广州地理研究所,广州510070;广东省遥感与地理信息应用重点实验室,广州510070
2. 广东省遥感与地理信息应用重点实验室,广州510070;中科院广州地球化学研究所,广州510640 |
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| 基金项目： | 广东省自然科学基金，广东重点引导科研计划项目 |
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| 摘 要： | PS InSAR干涉中公共主影像的选择关系到干涉的质量。本文在综合考虑时空基线距和多普勒质心频率基线对干涉图去相关影响的基础上，提出以综合相关系数为测度的公共主影像最佳选择方法。借助欧空局提供的20景大同地区ENVISAT SLC SAR图像，进行PS InSAR公共主影像的优化选取实验。通过计算发现，指数权比对公共主影像的选择影响不大，因此建议在实际应用过程中，可直接按等指数权比计算综合相关系数，以此确定最佳公共主影像。
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| 关 键 词： | 珠江三角洲河段 遥感反射率 悬浮泥沙浓度 TM 反演模式 |
| 收稿时间： | 2012-04-23 |
| 修稿时间： | 2012-06-27 |
Study on the Inversion Model of the Suspended Sediment Concentration at the Pear River Delta Based on Remote Sensing Technology |
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| ZHONG Kai-wen,LIU Xu-long,XIE Liang,SUN Cai-ge.Study on the Inversion Model of the Suspended Sediment Concentration at the Pear River Delta Based on Remote Sensing Technology[J].Remote Sensing Information,2009,28(1):49-53. |
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| Authors: | ZHONG Kai-wen LIU Xu-long XIE Liang SUN Cai-ge |
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| Affiliation: | ZHONG Kai-wen, LIU Xu-long ,XIE Liang,SUN Cai-ge (1.Guangzhou Institute of Geography, Guangzhou 510070 ; 2.Key Laboratory of Guangdong for Utilization of Remote Sensing and Geographic Information System, Guangzhou 510070; 3.Guangzhou Institute of Geochemistry, Guangzhou 510640) |
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| Abstract: | On the basis of the quantitative remote sensing theories, we measure the water sample of Pear river in the same zone during flood season and beyond the flood season synchronously by SEAWiFS and traditional measure way, and at the same time make sure the correlation of the data simultaneously, then work out the remote sensing reflectance of TM imagery relevant to the spectrum instrument. The hydrologic observation site works out the suspended sediment concentration. Eight kinds of the experiment models are derived from the correlation of the reflectance and the concentration. It is concluded that the spectrum of TM3 measured during flood season correlates best with suspended sediment concentration; and the ratio of TM3 to TM2 has the best correlation with the concentration beyond the flood season. Based on the experiments, the results of inversion are better when corresponding model with each season is applied. |
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| Keywords: | TM |
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