| GRACE时变重力数据后处理方法评价 |
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| 引用本文： | 姜永涛,王丽美,郭广猛,张子月,杨杰.GRACE时变重力数据后处理方法评价[J].测绘科学,2021,46(3):21-26. |
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| 作者姓名： | 姜永涛 王丽美 郭广猛 张子月 杨杰 |
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| 作者单位： | 南阳师范学院河南省自然灾害遥感监测重点实验室,河南南阳473061 |
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| 基金项目： | 国家自然科学基金项目(41604009,41071280);南阳师范学院青年专项(ZX19049)。 |
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| 摘 要： | 针对GRACE Level2卫星时变重力数据后处理方法如何评价的问题,该文以中国数字地震观测网络获得的青藏高原地区地面重力变化图像为参考,基于平均结构相似性等图像相似度指标,研究了与该区域地面重力观测同期、不同后处理方法得到的GRACE卫星重力变化图像的可靠性。结果显示,GRACE卫星重力和地面重力观测结果具有一定的可比性,滑动窗口去相关滤波和高斯400 km滤波的组合方法可以获得最优的处理效果。本文的方法和结论对GRACE及GRACE Follow-On卫星重力数据应用中后处理方法和参数的选取有一定的借鉴意义。
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| 关 键 词： | GRACE 后处理方法 青藏高原 图像相似度 MSSIM |
Evaluation of the post-processing methods for GRACE temporal gravity models |
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| JIANG Yongtao,WANG Limei,GUO Guangmeng,ZHANG Ziyue,YANG Jie.Evaluation of the post-processing methods for GRACE temporal gravity models[J].Science of Surveying and Mapping,2021,46(3):21-26. |
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| Authors: | JIANG Yongtao WANG Limei GUO Guangmeng ZHANG Ziyue YANG Jie |
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| Institution: | (Key Laboratory of Natural Disaster and Remote Sensing of Henan Province,Nanyang Normal University,Nanyang,Henan 473061,China) |
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| Abstract: | To evaluate the post-processing methods of GRACE Level2 temporal gravity models,the reliability of GRACE satellite gravity variation image in Tibetan Plateau obtained by different post-processing methods is investigated by using image similarity indexes(for example,the mean structural similarity,MSSIM)on the basis of the ground gravimetry variation image of Tibetan Plateau from Crustal Movement Observation Network of China(CMONOC).The results show that there is a certain comparability between GRACE satellite gravity and ground gravity observation results and that the combined filtering method of the sliding window de-correlation filter and 400 km gaussian filter can acquire the optimal processingeffect.The methods and conclusions of this paper have certain reference significance for the selection of post-processing methods and parameters in the application of GRACE and GRACE follow-up satellite gravity data. |
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| Keywords: | GRACE post-processing methods Tibetan Plateau image similarity MSSIM |
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